Evidence map›Paper›PMID 29867464›Full record

ReviewFrontiers in pharmacology2018

Mitochondrial-Lysosomal Axis in Acetaminophen Hepatotoxicity.

Anna Moles, Sandra Torres, Anna Baulies, Carmen Garcia-Ruiz, Jose C Fernandez-Checa

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
8.2field-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

44 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Protein Lactylation in Liver Disease: A Comprehensive Review.Expert reviews in molecular medicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Acetaminophen's Role in Autism and ADHD: A Mitochondrial Perspective.International journal of molecular sciences · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
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  17. Review
  18. 3 Biotech · 2023
    Article
  19. Article
  20. 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 2 institutions in 2 countries.

Anna MolesCell Death and Proliferation, Institute of Biomedical Research of Barcelona, Spanish National Research Council, Barcelona, Spain.
Sandra TorresCell Death and Proliferation, Institute of Biomedical Research of Barcelona, Spanish National Research Council, Barcelona, Spain.
Anna BauliesCell Death and Proliferation, Institute of Biomedical Research of Barcelona, Spanish National Research Council, Barcelona, Spain.
Carmen Garcia-RuizCell Death and Proliferation, Institute of Biomedical Research of Barcelona, Spanish National Research Council, Barcelona, Spain.
Jose C Fernandez-ChecaCell Death and Proliferation, Institute of Biomedical Research of Barcelona, Spanish National Research Council, Barcelona, Spain.
Centro de Investigación Biomédica en Red · ESInstitut d'Investigacions Biomèdiques de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acetaminophen (APAP) toxicity is the most common cause of acute liver failure and a major indication for liver transplantion in the United States and Europe. Although significant progress has been made in understanding the molecular mechanisms underlying APAP hepatotoxicity, there is still an urgent need to find novel and effective therapies against APAP-induced acute liver failure. Hepatic APAP metabolism results in the production of the reactive metabolite

Indexed as

acetaminophen APAPlysosomal cholesterol accumulationlysosomesmitochondriamitophagy

Identifiers

PMID29867464
PMCPMC5968389
OpenAlexW2801398151

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.