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Record W4414129427 · doi:10.2147/ijgm.s539967

Molecular Aspects of Mitochondrial Dysfunction in Diabetes, Pearson and Kearns-Sayre Syndromes, and Neurodegenerative Disorders

2025· review· en· W4414129427 on OpenAlexaff
Amirmohammad Shafiee, Amir Akhlaghi, Abigail Ellstrom, Seyed Omid Mohammadi, Alimohammad Shafiee, Mohanakrishnan Sathyamoorthy

Bibliographic record

VenueInternational Journal of General Medicine · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMitochondrionDiseasePathophysiologyMitochondrial DNAMitochondrial diseaseOrganelleMolecular cell biologyDiabetes mellitus

Abstract

fetched live from OpenAlex

Mitochondrial dysfunction results in complex pathophysiological alterations associated with clinical disease states including cancer, cardiovascular diseases, diabetes mellitus, and anxiety disorders. As a key organelle within mammalian cells, the mitochondrion serves as the energetic source of cellular function which are crucial to cellular homeostasis, and cell death. In this report, we review key molecular causes of mitochondrial dysfunction and discuss how it influences insulin resistance, Pearson Syndrome and Kearns-Sayre syndrome, the latter of which occur due to pathogenic variants in mitochondrial DNA that lead to direct cellular pathology. We discuss the molecular and cellular pathophysiological mechanisms, disease interplays, and clinical considerations related to these diseases influenced by mitochondrial dysfunction.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.012
GPT teacher head0.298
Teacher spread0.286 · 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
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

Citations3
Published2025
Admission routes1
Has abstractyes

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