Evidence map›Paper›PMID 29973233›Full record

Observational studyCritical care (London, England)2018

Postoperative cellular stress in the kidney is associated with an early systemic γδ T-cell immune cell response.

Ivan Göcze, Katharina Ehehalt, Florian Zeman, Paloma Riquelme, Karin Pfister, Bernhard M Graf, Thomas Bein, Edward K Geissler, Piotr Kasprzak, Hans J Schlitt and 4 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01915446 (Kidney and Intestinal Markers for Early Detection of Organ Injury After Endovascular Aortic Repair - The KISMED Study), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 13% 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.

NCT01915446 completednot on this map

Kidney and Intestinal Markers for Early Detection of Organ Injury After Endovascular Aortic Repair - The KISMED Study

TypeobservationalSponsorUniversity Hospital RegensburgRan2013 to 2014Enrolled20ConditionsIschemia, Fatty Acid-Binding Proteins, Mesenteric Vascular Disease, Acute Kidney Injury
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Acute kidney injury and postoperative delirium.Journal of biomedical research · 2025
    Article
  3. Frontiers in cell and developmental biology · 2025
    Article
  4. High-mobility group box 1 in acute kidney injury.Frontiers in pharmacology · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Targeting HMGB1: A Potential Therapeutic Strategy for Chronic Kidney Disease.International journal of biological sciences · 2023
    Review
  9. Role of T cells in ischemic acute kidney injury and repair.The Korean journal of internal medicine · 2022
    Review
  10. Unconventional T cells and kidney disease.Nature reviews. Nephrology · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. 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

14 authors at 2 institutions in 2 countries.

Ivan GöczeDepartment of Surgery, Surgical Intensive Care and Experimental Surgery, University Medical Center Regensburg, Regensburg, Germany. ivan.goecze@ukr.de.ORCID 0000-0002-6976-7520
Katharina EhehaltDepartment of Anesthesia, University Medical Center Regensburg, Regensburg, Germany.
Florian ZemanCenter for Clinical Studies, University Medical Center Regensburg, Regensburg, Germany.
Paloma RiquelmeDepartment of Surgery, Surgical Intensive Care and Experimental Surgery, University Medical Center Regensburg, Regensburg, Germany.
Karin PfisterDepartment of Vascular and Endovascular Surgery, University Medical Center Regensburg, Regensburg, Germany.
Bernhard M GrafDepartment of Anesthesia, University Medical Center Regensburg, Regensburg, Germany.
Thomas BeinDepartment of Anesthesia, University Medical Center Regensburg, Regensburg, Germany.
Edward K GeisslerDepartment of Surgery, Surgical Intensive Care and Experimental Surgery, University Medical Center Regensburg, Regensburg, Germany.
Piotr KasprzakDepartment of Vascular and Endovascular Surgery, University Medical Center Regensburg, Regensburg, Germany.
Hans J SchlittDepartment of Surgery, Surgical Intensive Care and Experimental Surgery, University Medical Center Regensburg, Regensburg, Germany.
John A KellumCenter for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, 15621, USA.
James A HutchinsonDepartment of Surgery, Surgical Intensive Care and Experimental Surgery, University Medical Center Regensburg, Regensburg, Germany.
Elke EggenhoferDepartment of Surgery, Surgical Intensive Care and Experimental Surgery, University Medical Center Regensburg, Regensburg, Germany.
Philipp RennerDepartment of Surgery, Surgical Intensive Care and Experimental Surgery, University Medical Center Regensburg, Regensburg, Germany.
University Hospital Regensburg · DEUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBasic science data suggest that acute kidney injury (AKI) induced by ischemia-reperfusion injury (IRI) is an inflammatory process involving the adaptive immune response. Little is known about the T-cell contribution in the very early phase, so we investigated if tubular cellular stress expressed by elevated cell cycle biomarkers is associated with early changes in circulating T-cell subsets, applying a bedside-to-bench approach.

methodsOur observational pilot study included 20 consecutive patients undergoing endovascular aortic repair for aortic aneurysms affecting the renal arteries, thereby requiring brief kidney hypoperfusion and reperfusion. Clinical-grade flow cytometry-based immune monitoring of peripheral immune cell populations was conducted perioperatively and linked to tubular cell stress biomarkers ([TIMP-2]•[IGFBP7]) immediately after surgery. To confirm clinical results and prove T-cell infiltration in the kidney, we simulated tubular cellular injury in an established mouse model of mild renal IRI.

resultsA significant correlation between tubular cell injury and a peripheral decline of γδ T cells, but no other T-cell subpopulation, was discovered within the first 24 hours (r = 0.53; p = 0.022). Turning to a mouse model of kidney warm IRI, a similar decrease in circulating γδ T cells was found and concomitantly was associated with a 6.65-fold increase in γδ T cells (p = 0.002) in the kidney tissue without alterations in other T-cell subsets, consistent with our human data. In search of a mechanistic driver of IRI, we found that the damage-associated molecule high-mobility group box 1 protein HMGB1 was significantly elevated in the peripheral blood of clinical study subjects after tubular cell injury (p = 0.019). Correspondingly, HMGB1 RNA content was significantly elevated in the murine kidney.

conclusionsOur investigation supports a hypothesis that γδ T cells are important in the very early phase of human AKI and should be considered when designing clinical trials aimed at preventing kidney damage.

trial registrationClinicalTrials.gov, NCT01915446 . Registered on 5 Aug 2013.

Indexed as

Acute Kidney InjuryAnimalsAortic AneurysmBiomarkersDisease Models, AnimalHMGB1 ProteinHumansInsulin-Like Growth Factor Binding ProteinsKidneyMiceMice, Inbred C57BLPilot ProjectsPostoperative ComplicationsReperfusion InjuryStatistics, NonparametricStress, PhysiologicalBiomarkersHMGB1 ProteinHMGB1 protein, humaninsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsTIMP2 protein, humanTissue Inhibitor of Metalloproteinase-2Aortic surgeryImmunosurveillanceIschemia-reperfusion injuryTubular cell stressγδ T cells

Identifiers

PMID29973233
PMCPMC6030780
OpenAlexW2809779236

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.