MétaCan
Menu
Back to cohort
Record W4414049527 · doi:10.1055/s-0045-1810803

Ninjurin-1 mediates hepatic ischemia-reperfusion injury

2025· article· de· W4414049527 on OpenAlexaff
Jan Mossemann, Bruno da Costa Martins, Shui‐Ping Zhao, Patricia Bilan, Neil M. Goldenberg, Benjamin E. Steinberg, B Sayed, Dirk L. Stippel, C. Bruns

Bibliographic record

VenueZeitschrift für Gastroenterologie · 2025
Typearticle
Languagede
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity Health NetworkHospital for Sick Children
Fundersnot available
KeywordsLiver injuryDiseasePathogenesisImmune system

Abstract

fetched live from OpenAlex

Background: Ischemia-reperfusion injury (IRI) is a major clinical challenge during liver transplantation that can lead to early allograft dysfunction (EAD), graft rejection, and even death of the recipient. Induced lytic cell death (LCD) decreases functional cell mass and triggers a harmful pro-inflammatory immune response. Rupture of the plasma membrane, the final stage of several LCD pathways, could recently be shown to be an active and highly regulated process mediated by the transmembrane protein Ninjurin-1 (NINJ1). The role NINJ1 plays during hepatic IRI remains unknown. Aims: To investigate the role of Ninjurin-1 activation on hepatic IRI. Methods: A model of 70% segmental warm hepatic IRI was used in mice and rats with conventional whole-body ( Ninj1 -/- ) knockout and mice with hepatocyte-specific ( Ninj1 fl/fl Alb-Cre + ) and myelomonocyte/Kupffer cell (KC)-specific ( Ninj1 fl/fl LysM-Cre + ) knockout as well as their respective controls. The resulting injury was assessed using serum (AST, ALT, LDH) and histopathological (Suzuki score, TUNEL staining) markers for hepatic IRI. Treatment of WT mice with glycine or clone D1, an antagonizing antibody, both known to preserve plasma membrane integrity in a NINJ1-dependent manner, was used to assess pharmacological inhibition in vivo. To mimic IRI in vitro , we cultivated isolated and purified murine hepatocytes and KCs under hypoxia/reoxygenation conditions (H/R) and quantified LCD. Non-denaturing gel electrophoresis (BN-PAGE) was used to assess NINJ1 activation in liver samples from IRI- and sham-treated mice and biopsies from human liver grafts (hLG) pre-implantation and post-reperfusion. Results: NINJ1 deficiency in both mice and rats led to a significant reduction of all assessed parameters for hepatic IRI. Accordingly, pharmacological inhibition protected mice against IRI in vivo . Both hepatocytes and KCs undergo H/R-induced LCD contributing to hepatic IRI in vivo . Moreover, NINJ1 activation in post-reperfusion biopsies from hLG was markedly increased in recipients with EAD (peak AST>5,000 U/l postoperatively) compared to recipients with low AST levels (<200 U/l). Conclusion : Across species, we demonstrate that NINJ1 mediates hepatic IRI, which can be prevented by pharmacological targeting of NINJ1. Moreover, in hLG recipients, EAD was associated with increased NINJ1 activation. Thus, we propose NINJ1 as a new target to treat hepatic IRI and improve patient outcomes during liver transplantation. Publication History Article published online: 04 September 2025 © 2025. Thieme. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.272
Teacher spread0.265 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractno

Explore more

Same venueZeitschrift für GastroenterologieSame topicMicroRNA in disease regulationFrench-language works237,207