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Record W4415450852 · doi:10.1210/jendso/bvaf149.006

MON-666 TRPA1 Modulation of Food Intake and Energy Balance in Obesity: Implications for Weight Regulation

2025· article· en· W4415450852 on OpenAlexaff
Cristhian David Sua-Cespedes, Leticia Breda e Vasconcelos, Julia S Braulino, Giovanna Zanetti, M.E.M.P. Silva, José Thalles Lacerda, Ana Maria de Lauro Castrucci

Bibliographic record

VenueJournal of the Endocrine Society · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsGhrelinLeptinFood intakeLeptin receptorReceptorEnergy expenditureHormoneEnergy balance

Abstract

fetched live from OpenAlex

Abstract Disclosure: C.D. Sua-Cespedes: None. L.M. Vasconcelos: None. J.S. Braulino: None. G. Zanetti: None. M. Silva: None. J.T. Lacerda: None. A.M. Castrucci: None. Food intake and energy expenditure regulation are therapeutic approaches for obesity. This complex process is governed mainly by the neuroendocrine system, with key modulators such as ghrelin, leptin, pro-opiomelanocortin (POMC), and corticotropin-releasing hormone (CRH). Although it is described that TRP channels could modulate food intake by influencing the hypothalamic neural circuits, there is not enough evidence describing the possible role of TRPA1 in this process. Three-month-old male C57BL/6J (WT) and Trpa1-/- (KO) mice were acclimated for two weeks in thermoneutrality (30±1°C), under a 12:12 light/dark photoperiod (lights on at 7 AM, ∼600 lux). After, animals were single-housed, kept at thermoneutrality or room temperature RT (22±1°C), and received a chow diet CD (3.8 kcal/g, 50g/kg fat) or high-fat diet HFD (5.3 kcal/g, 348 g/kg fat) during eight weeks. The animals were euthanized (CEUA-IBUSP 373/2021) at 9 AM, and blood and hypothalamic samples were collected. Blood was centrifuged for 10 min at 2000 x g at 4°C and then leptin was quantified in the serum; the gene expression of ghrelin and its receptor (Ghrl and Ghsr), leptin receptor (Lepr), Crh, Pomc, Trpa1, and Trpv1 was analyzed in the hypothalamus. There were no differences in weight between genotypes or temperatures when animals were fed CD. However, the food intake was higher in WT mice at RT and both Trpa1-/- groups, maybe as a physiological compensation for the temperature below the thermoneutrality zone and/or the lack of this channel. HFD WT mice developed a higher level of obesity (in both temperatures) than KO animals. Even with these differences in weight, all the obese animals had identical food intake. The HFD groups at RT showed an increase in hypothalamic ghrelin compared to their respective controls at 30°C. Only HFD Trpa1-/- mice at 22°C showed higher Ghsr mRNA content when compared to HFD WT at the same temperature. The leptin levels were higher in HFD WT animals than in CD WT mice and HFD Trpa1-/- animals at both temperatures. There were no significant differences in the hypothalamic Lepr mRNA among groups. HFD Trpa1-/- mice at 22°C showed a marked increase of Crh expression compared to KO mice at 30°C. Also, this group showed higher Pomc transcripts in comparison to KO animals in thermoneutrality and HFD WT mice at RT. In the CD groups, the WT animals expressed higher Pomc levels than their counterparts at 30°C. Interestingly, in the absence of TRPA1, the HFD KO animals at RT showed increased Trpv1 mRNA in comparison to their respective controls. Our data provide evidence that TRPA1 is a novel player in central food intake, energy expenditure, and weight regulation (especially at 22°C) in diet-induced obesity models. Presentation: Monday, July 14, 2025

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.007
GPT teacher head0.247
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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