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Record W2607390027 · doi:10.1159/000466701

Cytotoxic Effects of Transthyretin Aggregates in an Epidermoid Cell Line

2017· article· en· W2607390027 on OpenAlexaff
Vai Hong Fong, Amandio Vieira

Bibliographic record

VenuePathobiology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCytotoxic T cellTransthyretinCell cultureCellChemistryBiologyCell biologyMedicinePathologyGeneticsIn vitro

Abstract

fetched live from OpenAlex

OBJECTIVE: Skin amyloid deposits can occur as part of systemic amyloidoses including those involving misfolded- aggregated transthyretins (agTTR). Pathological effects of agTTR on the skin are not well understood. The main objective of the current study was to examine the toxicity of agTTR upon a human keratinocyte cell line. METHODS: Cells were analyzed for indicators of oxidative stress after treatment with normal soluble TTR or the same pre-aggregation concentration of agTTR. Hydrogen peroxide production was analyzed as an indicator for the involvement of reactive oxygen species. RESULTS: Treatment of cells with agTTR significantly increased hydrogen peroxide production (p < 0.05 vs. controls). Glutathione (GSH) and catalase were analyzed as indicators of endogenous cellular antioxidant activity. Treatment of cells with agTTR resulted in significant decreases in both catalase activity and GSH levels (p < 0.05 vs. controls). CONCLUSION: agTTR disrupts redox balance and induces oxidative stress in these epidermoid cells.

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 score0.005

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 integrity0.0000.000
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 head0.010
GPT teacher head0.280
Teacher spread0.269 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

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