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Record W2138802019 · doi:10.1586/ecp.10.133

Hydrogen sulfide and the metabolic syndrome

2010· review· en· W2138802019 on OpenAlex
Kaushik Desai, Tuanjie Chang, Ashley Untereiner, Lingyun Wu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExpert Review of Clinical Pharmacology · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHyperinsulinemiaMedicineHyperlipidemiaMetabolic syndromeInternal medicineDiabetes mellitusEndocrinologyVasodilationType 2 diabetesHydrogen sulfideBlood pressureInsulin resistancePharmacologyChemistry

Abstract

fetched live from OpenAlex

The metabolic syndrome is a group of abnormalities including obesity, high blood pressure, hyperinsulinemia, high blood glucose levels and hyperlipidemia that together greatly increase the risk of developing cardiovascular disease and Type 2 diabetes. Hydrogen sulfide (H(2)S) is a vasodilatory gasotransmitter mediator in the cardiovascular system, proposed as an endothelium-derived relaxing factor. A lack of H(2)S and its synthesizing enzyme, cystathionine γ-lyase, in the vasculature causes hypertension, whereas an increase in the pancreas reduces insulin secretion. Thus, research is making inroads to determine whether H(2)S is involved in the pathogenesis of the metabolic syndrome. Several laboratories are synthesizing and testing clinically used drugs that release H(2)S. Some of these compounds are being tested for effectiveness in the metabolic syndrome.

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.061
GPT teacher head0.471
Teacher spread0.410 · 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