Evidence map›Paper›PMID 28569136›Full record

ArticleBMC nephrology2017

Molecular differences in susceptibility of the kidney to sepsis-induced kidney injury.

Martin Matejovic, Lenka Valesova, Jan Benes, Roman Sykora, Roman Hrstka, Jiri Chvojka

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Review
  7. Genetic Susceptibility to Acute Kidney Injury.Journal of clinical medicine · 2021
    Review
  8. Porcine models of acute kidney injury.American journal of physiology. Renal physiology · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. PGC1α in the kidney.American journal of physiology. Renal physiology · 2018
    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

6 authors at 2 institutions in 1 country.

Martin Matejovic1st Medical Department, Faculty of Medicine in Pilsen, Charles University, Plzen, Czech Republic. matejovic@fnplzen.cz.ORCID http://orcid.org/0000-0001-9814-5256
Lenka Valesova1st Medical Department, Faculty of Medicine in Pilsen, Charles University, Plzen, Czech Republic.
Jan BenesExperimental Intensive Care Unit, Biomedical Centre, Faculty of Medicine in Plzen, Charles University, alej Svobody 1655/76, Plzen, Czech Republic.
Roman Sykora1st Medical Department, Faculty of Medicine in Pilsen, Charles University, Plzen, Czech Republic.
Roman HrstkaRegional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, Brno, Czech Republic.
Jiri Chvojka1st Medical Department, Faculty of Medicine in Pilsen, Charles University, Plzen, Czech Republic.
Charles University · CZMasaryk Memorial Cancer Institute · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeptic acute kidney injury affects 40-50% of all septic patients. Molecular differences between septic patients with and without acute kidney injury (AKI) are only poorly understood. Here, we investigated gene expression changes that differentiated the subjects who developed septic AKI from those who did not and coupled this approach with traditional parameters of renal physiology.

methodsIn 15 anesthetized, mechanically ventilated and instrumented pigs, progressive sepsis was induced either by peritonitis or by continuous intravenous infusion of Pseudomonas aeruginosa. Animals received standard intensive care including goal-directed hemodynamic management. Analyses were performed on kidneys from sham operated animals, septic pigs without AKI, and pigs with septic AKI. Before, and at 12, 18 and 22 h of progressive sepsis, systemic and renal hemodynamics, cortex microcirculation and plasma IL-6 and TNF-α were measured. At 22 h whole kidney expression of pre-selected genes was analyzed by quantitative Real Time PCR.

resultsAnimals with septic AKI had systemic hemodynamic phenotype (normo- or hyperdynamic) comparable with non-AKI subjects, but demonstrated higher plasma levels of cytokines, an increase in renal vascular resistance and early fall in cortical microcirculatory blood flow. The genes whose expression discriminated septic AKI from non-AKI included Toll like receptor 4 (up-regulated 2.7-fold, P = 0.04); Cyclooxygenase-2 (up-regulated 14.6-fold, P = 0.01), Angiotensin II Receptor (up-regulated 8.1-fold, P = 0.01), Caspase 3 (up-regulated 5.1-fold, P = 0.02), Peroxisome Proliferator-Activated Receptor Gamma, Coactivator 1 Alpha (down-regulated 2-fold, P = 0.02).

conclusionsIn this preliminary experimental study, kidney gene expression was profoundly different in animals that developed septic AKI as opposed to septic animals that did not. The biological functions of the genes differentially expressed support a role of inflammatory overstimulation coupled with metabolic and apoptotic molecular responses in early septic AKI. Cyclooxygenase-2 and angiotensin type 2 receptor-dependent downstream mechanisms appear fruitful targets for future mechanistic research.

Indexed as

Gene ExpressionAcute Kidney InjuryAnimalsCaspase 3Cyclooxygenase 2Disease Models, AnimalGenetic Predisposition to DiseaseHemodynamicsInterleukin-6Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaReceptors, AngiotensinSepsisSwineToll-Like Receptor 4Tumor Necrosis Factor-alphaCaspase 3Cyclooxygenase 2Interleukin-6Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaReceptors, AngiotensinToll-Like Receptor 4Tumor Necrosis Factor-alphaAcute kidney injuryAnimal modelsGene expressionSepsis

Identifiers

PMID28569136
PMCPMC5452356
OpenAlexW2620499392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.