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Record W4411927836 · doi:10.1111/obr.13975

Weight Loss‐Associated Remodeling of Adipose Tissue Immunometabolism

2025· review· en· W4411927836 on OpenAlexafffund
Paulo José Basso, Alejandro Schcolnik‐Cabrera, Mengyi Zhu, Erin Strachan, Xavier Clemente‐Casares, Sue Tsai

Bibliographic record

VenueObesity Reviews · 2025
Typereview
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsAlberta Medical AssociationUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsAdipose tissueMedicineWeight lossInternal medicineObesity

Abstract

fetched live from OpenAlex

Obesity is a multifactorial condition characterized by excessive adiposity and systemic chronic low-grade inflammation. Recent literature reflects a growing appreciation for the complex interplay between metabolism and the immune system in the pathogenesis of obesity-related health conditions. However, this field of investigation, also known as immunometabolism, requires more in-depth study to fully understand the impact of weight loss treatments on the metabolism and function of immune cells. Despite indications that weight loss can alleviate certain metabolic dysfunctions associated with obesity, the extent to which immunometabolic parameters return to baseline posttherapy remains largely unexplored. Therefore, this review intends to re-examine critical aspects of obesity pathophysiology and highlight recent advancements in literature regarding the effects of weight loss interventions on the metabolism and function of immune cells. Addressing this field is crucial for optimizing obesity management strategies and gaining insights into long-term metabolic health outcomes.

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)0.002
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 score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.035
GPT teacher head0.331
Teacher spread0.296 · 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
GenreReview

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

Citations6
Published2025
Admission routes2
Has abstractyes

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