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Record W4399382339 · doi:10.1016/j.mito.2024.101908

The role of mitochondrial genes in ischemia-reperfusion injury: A systematic review of experimental studies

2024· review· en· W4399382339 on OpenAlexaff
Zeyu Chen, Daniel Rayner, Robert W. Morton, Laura Banfield, Guillaume Paré, Michael Chong

Bibliographic record

VenueMitochondrion · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsThrombosis and Atherosclerosis Research InstituteMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsReperfusion injuryIschemiaGeneBiologyComputational biologyMedicineGeneticsCardiology

Abstract

fetched live from OpenAlex

Mitochondrial dysfunction contributes to pathological conditions like ischemia-reperfusion (IR) injury. To address the lack of effective therapeutic interventions for IR injury and potential knowledge gaps in the current literature, we systematically reviewed 3800 experimental studies across 5 databases and identified 20 mitochondrial genes impacting IR injury in various organs. Notably, CyPD, Nrf2, and GPX4 are well-studied genes consistently influencing IR injury outcomes. Emerging genes like ALDH2, BNIP3, and OPA1 are supported by human genetic evidence, thereby warranting further investigation. Findings of this review can inform future research directions and inspire therapeutic advancements.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0070.008
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.340
Teacher spread0.320 · 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 designSystematic review
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

Citations1
Published2024
Admission routes1
Has abstractyes

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