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Record W4407566187 · doi:10.1186/s10020-025-01113-9

Targeting NINJ1-mediated cell rupture to treat inflammatory diseases

2025· review· en· W4407566187 on OpenAlexafffund
Claire Ju-Eun Hur, Benjamin E. Steinberg

Bibliographic record

VenueMolecular Medicine · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPyroptosisPathogenesisProgrammed cell deathIntracellularImmune systemCellImmunologyInflammationMedicineApoptosisCell biologyBiologyInflammasomeBiochemistry

Abstract

fetched live from OpenAlex

Cell death can terminate in plasma membrane rupture to release potent pro-inflammatory intracellular contents thereby contributing to inflammatory diseases. Cell rupture is an active process, mediated by the membrane protein ninjurin-1 (NINJ1) in pyroptosis, post-apoptosis lysis, ferroptosis, and forms of necrosis. Once activated, NINJ1 clusters into large oligomers within the membrane to initiate cellular lysis. Recent preclinical studies have demonstrated that inhibiting NINJ1 is a new strategy for treating immune-mediated diseases. Indeed, both small molecule inhibitors and neutralizing antibodies can target NINJ1 clustering to preserve plasma membrane integrity and mitigate disease pathogenesis. In this Perspective, we provide a summary of the current state of knowledge and recent developments in targeting cellular integrity during cell death through NINJ1 inhibition to treat inflammatory disease, with a focus on liver injury. As these NINJ1-mediated cell death pathways are pivotal in maintaining health and contribute to disease pathogenesis when dysregulated, the studies discussed within have broad implications across the immunologic basis of molecular medicine.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.263
Teacher spread0.258 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2025
Admission routes2
Has abstractyes

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