MétaCan
Menu
Back to cohort
Record W2885789567 · doi:10.1002/path.5146

Multilevel heterogeneity of mitochondrial respiratory chain deficiency

2018· letter· en· W2885789567 on OpenAlexfundno aff
Amy E. Vincent, Martin Picard

Bibliographic record

VenueThe Journal of Pathology · 2018
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesMedical Research Council CanadaWellcome Trust
KeywordsMitochondrial DNACytochrome c oxidaseMitochondrionRespiratory chainMitochondrial diseaseMitochondrial respiratory chainBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Mitochondrial diseases are heterogeneous multisystem disorders that show a mosaic pattern of mitochondrial respiratory chain dysfunction. The mitochondrial DNA (mtDNA) mutation load is heterogeneous at multiple levels: across organs, between cells, and between subcellular compartments. Such heterogeneity poses a diagnostic challenge, but also provides a scientific opportunity to explore the biological mechanisms underlying the onset and progression of these disorders. A recent article in The Journal of Pathology described a novel histochemical technique - nitro blue tetrazolium exclusion assay (NBTx) - to quantify mitochondrial cytochrome c oxidase (COX, or complex IV) deficiency. This technique is rapid, cost-effective, and quantitative, and is more sensitive than previous histochemical methods. It can also be applied across model organisms and human tissues. The NBTx method should therefore be a useful diagnostic tool, and may catalyze research examining the cellular and subcellular mechanisms that drive the onset and progression of inherited and acquired mtDNA disorders. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.279
Teacher spread0.248 · 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
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

Citations10
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of PathologySame topicMitochondrial Function and PathologyFrench-language works237,207