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Record W2097587582 · doi:10.1002/hep.25877

Pathophysiological relevance of neutrophils in acetaminophen hepatotoxicity

2012· letter· en· W2097587582 on OpenAlexaboutno aff
Hartmut Jaeschke, Mitchell R. McGill, D. C. Williams

Bibliographic record

VenueHepatology · 2012
Typeletter
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsAcetaminophenIn vivoChemokineCXC chemokine receptorsMedicinePharmacologyPathophysiologyReceptorLiver injuryNeutropeniaImmunologyChemokine receptorBiologyToxicityInternal medicine

Abstract

fetched live from OpenAlex

We read with interest the recent article by Marques et al.1 on the release of damage-associated molecular patterns during acetaminophen (APAP) hepatotoxicity in mice and humans. We were pleased to learn that the authors were able to confirm certain previously published data, especially the release of mitochondrial products in human pathophysiology, which we recently reported.2 However, we have concerns regarding the conclusion that neutrophils are aggravating APAP-induced hepatotoxicity based on the data presented.1 Pretreatment with the neutropenia-inducing antibody Gr-1 induces a preconditioning effect with up-regulation of numerous genes, many of which are highly protective against APAP hepatotoxicity.3 Thus, no reliable conclusions regarding the involvement of neutrophils can be obtained from these experiments. These data have been presented in the past and the problems have been extensively discussed.3-5 It is puzzling that the authors simply repeated the same mistakes that were previously pointed out. In contrast, treatment with Gr-1 after APAP did not affect liver injury6 and there is no evidence that neutrophils are even activated or primed during the major injury phase.5 The report that coincubation of isolated neutrophils with hepatoma cells leads to cell killing in vitro has no relevance for an alleged neutrophil-induced liver injury during APAP hepatotoxicity in vivo. These experimental conditions have nothing in common with the mechanism of APAP hepatotoxicity or neutrophil-induced killing of hepatocytes in vivo. The beneficial effect of drugs that are receptor antagonists for CXC chemokine receptor 2 and formyl-peptide receptor 1 is interesting. However, the authors have not tested if any of the drugs or the solvents affected the metabolic activation of APAP, which is critical for sound mechanistic interpretation of the data, or if they had off-target effects that could lead to protection independent of the receptor antagonism. In addition, evaluating only a single late timepoint with reduced injury and fewer neutrophils is insufficient, as the decrease in neutrophil infiltration could simply be a consequence of less liver injury. Taken together, the present study, which in part repeats previous experiments and mistakes, does not support the hypothesis that neutrophils are critical for APAP hepatotoxicity. Hartmut Jaeschke Ph.D.*, Mitchell R. McGill B.Sc.*, C. David Williams B.Sc.*, * Department of Pharmacology, Toxicology & Therapeutics, University of Kansas Medical Center, Kansas City, KS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.159
GPT teacher head0.402
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2012
Admission routes1
Has abstractyes

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