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Record W4390782278 · doi:10.3390/stresses4010004

Orbital Inflammation in Thyroid Eye Disease: Stress Responses and Their Implications

2024· article· en· W4390782278 on OpenAlexaff
T. Aoun, Diana Danielova Gueorguieva, Kevin Y. Wu

Bibliographic record

VenueStresses · 2024
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsUniversité de SherbrookeUniversité de Montréal
Fundersnot available
KeywordsInflammationDiseaseThyroidPathologicalAutoantibodyMedicineOrbital DiseasesPathologyImmunologyEndocrinologyAntibodySurgery

Abstract

fetched live from OpenAlex

Thyroid Eye Disease (TED) is a debilitating autoimmune condition characterized by significant inflammation of orbital tissues, including the extraocular muscles and adipose tissues. The pathological mechanisms underlying this inflammation involve a complex interplay of stress responses at the cellular and molecular level. This review aims to critically evaluate and synthesize existing literature on the mechanisms of orbital inflammation in TED. We discuss the role of autoantibodies, cytokines, and reactive oxygen species (ROS) in the initiation and propagation of the inflammatory process. Additionally, we explore how stress responses triggered by these elements affect the integrity of orbital tissues and contribute to its remodeling. Our review underscores the need for continued research in this field, which may pave the way for novel therapeutic strategies for TED.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.015
GPT teacher head0.314
Teacher spread0.299 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations11
Published2024
Admission routes1
Has abstractyes

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