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Regulation of inflammation‐related genes in human adipose tissue

2007· review· en· W2057824188 on OpenAlex
Karine Clément, Dominique Langin

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

VenueJournal of Internal Medicine · 2007
Typereview
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsHotel Dieu Hospital
FundersInstitut National de la Santé et de la Recherche Médicale
KeywordsInflammationMedicineAdipose tissueObesityContext (archaeology)BioinformaticsMacrophagePathophysiologyImmunologyHuman obesityInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

The identification of a moderate increase in circulating inflammatory factors in obese subjects, the description of changes in inflammatory gene expression in adipose tissue (AT) and the discovery that macrophage cells infiltrate AT are observations contributing to the concept that human obesity is a chronic inflammatory illness. This concept has led to some revision of the physiopathology of obesity and of its related metabolic and cardiovascular co-morbidities. Low-grade inflammation in the AT and the subsequent production of specific biomarkers could actually link expanded fat mass to obesity complications. This review aims at providing an overview of the current knowledge brought up by human gene expression studies, notably those performed on a large scale in AT depots. The regulation of specific biomarkers related to inflammation and putative new candidates (i.e. cathepsins and serum amyloid A) is discussed in the context of weight loss programmes based on calorie restriction and physical exercise. The foreseen clinical and technological challenges are also summarized.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.370
Teacher spread0.333 · 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