Evidence map›Paper›PMID 38799564›Full record

ArticleiScience2024

STAT3 drives the expression of ACSL4 in acute kidney injury.

Virginie Poindessous, Helene Lazareth, Gilles Crambert, Lydie Cheval, Julio L Sampaio, Nicolas Pallet

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Research progress of ferroptosis in acute kidney injury.Frontiers in cell and developmental biology · 2025
    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.

Virginie PoindessousCentre de Recherche des Cordeliers, INSERM U1138, Université Paris Cité, Paris, France.
Helene LazarethCentre de Recherche des Cordeliers, INSERM U1138, Université Paris Cité, Paris, France.
Gilles CrambertEMR 8228 Metabolism and Renal Physiology Unit, CNRS, Paris, France.
Lydie ChevalEMR 8228 Metabolism and Renal Physiology Unit, CNRS, Paris, France.
Julio L SampaioCurieCoreTech Metabolomics and Lipidomics Technology Platform, Institut Curie, Paris, France.
Nicolas PalletLaboratory of Renal Physiology and Tubulopathies, Centre de Recherche des Cordeliers, INSERM U1138, Sorbonne Université, Université Paris Cité, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-chain acyl-CoA synthetase family 4 (ACSL4) metabolizes long-chain polyunsaturated fatty acids (PUFAs), enriching cell membranes with phospholipids susceptible to peroxidation and drive ferroptosis. The role of ACSL4 and ferroptosis upon endoplasmic-reticulum (ER)-stress-induced acute kidney injury (AKI) is unknown. We used lipidomic, molecular, and cellular biology approaches along with a mouse model of AKI induced by ER stress to investigate the role of ACSL4 regulation in membrane lipidome remodeling in the injured tubular epithelium. Tubular epithelial cells (TECs) activate ACSL4 in response to STAT3 signaling. In this context, TEC membrane lipidome is remodeled toward PUFA-enriched triglycerides instead of PUFA-bearing phospholipids. TECs expressing ACSL4 in this setting are not vulnerable to ferroptosis. Thus, ACSL4 activity in TECs is driven by STAT3 signaling, but ACSL4 alone is not enough to sensitize ferroptosis, highlighting the significance of the biological context associated with the study model.

Indexed as

Integrative aspects of cell biologyomicspathophysiology

Identifiers

PMID38799564
PMCPMC11126884

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.