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The alternative complement system and obesity: using knockout mouse models to investigate fat metabolism (96.24)

2007· article· en· W4313388183 on OpenAlexaff
Katherine Cianflone, Sabina Paglialunga, Christian Roy, Huiling Lü, Marcela Pekna

Bibliographic record

VenueThe Journal of Immunology · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInternal medicineEndocrinologyKnockout mouseAdipose tissueComplement systemReceptorTriglycerideBiologyMetabolismImmune systemImmunologyMedicine

Abstract

fetched live from OpenAlex

Abstract A growing body of evidence now links immunology and metabolic functions. The alternative system plays a role in injury and tissue damage as assessed by complement 3 knockout (C3KO), factor B (FBKO) and factor D (FDKO) mice with injury and septic shock. Recently the C5L2 receptor was found to act as a decoy receptor for C5a during similar conditions. Acylation stimulating protein (C3adesArg/ASP), a by-product of the alternative complement pathway also acts via C5L2 to stimulate triglyceride (TG) synthesis in adipose tissue. Wildtype (WT), C3KO, FBKO and C5L2KO mice on a normal chow diet were studied over 12 weeks. No difference in body weight was observed between KO and WT mice. However C3KO, FBKO and C5L2KO mice displayed increased food intake by 56%, 48% and 62% respectively vs. WT mice (p<0.05). Consistent with previous findings, C3KO mice showed delayed TG clearance during a fat load. FBKO and C5L2KO mice also display delayed postprandial lipemia. Adipose tissue from C5L2KO mice showed reduced ex vivo TG synthesis (-83%, p<0.001). Also, DGAT (TG synthesis enzyme) activity and protein were significantly reduced in C3KO mice vs. WT. Therefore, under normal physiological, alternative complement KO mice display altered fat metabolism. We attribute this phenotype to the lack of ASP and C5L2 signalling, however, further investigation is still required to understand the association between immunity and metabolism. Funding: CIHR and NSERC

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.052
GPT teacher head0.282
Teacher spread0.229 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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