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Record W4409484461 · doi:10.1002/jcsm.13781

Housing Temperature Impacts the Systemic and Tissue‐Specific Molecular Responses to Cancer in Mice

2025· article· en· W4409484461 on OpenAlexaff
Andrea Irazoki, Emma Frank, Tang Cam Phung Pham, Jessica L. Braun, Amy M. Ehrlich, Mark Haid, Fabien Riols, Camilla Hartmann Friis Hansen, Anne Jørgensen, Nicoline R. Andersen, Laura Hidalgo‐Corbacho, Roberto Meneses‐Valdés, Mona Sadek Ali, Steffen H. Raun, Johanne Louise Modvig, Samantha Gallero, Steen Larsen, Zachary Gerhart‐Hines, Thomas E. Jensen, Maria Rohm, Jonas T. Treebak, Val A. Fajardo, Lykke Sylow

Bibliographic record

VenueJournal of Cachexia Sarcopenia and Muscle · 2025
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsRegional Municipality of NiagaraBrock University
FundersNovo Nordisk Foundation Center for Basic Metabolic ResearchNovo Nordisk FondenH2020 Marie Skłodowska-Curie ActionsDanmarks Frie ForskningsfondNovo NordiskEuropean Research CouncilH. Lundbeck A/SLundbeckfondenEuropean Commission
KeywordsMedicineCancerCancer researchIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT Background Cancer cachexia, affecting up to 80% of patients with cancer, is characterized by muscle and fat loss with functional decline. Preclinical research seeks to uncover the molecular mechanisms underlying cachexia to identify potential targets. Housing laboratory mice at ambient temperature induces cold stress, triggering thermogenic activity and metabolic adaptations. Yet, the impact of housing temperature on preclinical cachexia remains unknown. Methods Colon 26 carcinoma (C26)‐bearing and PBS‐inoculated (Ctrl) mice were housed at standard (ST; 20°C–22°C) or thermoneutral temperature (TN; 28°C–32°C). They were monitored for body weight, composition, food intake and systemic factors. Upon necropsy, tissues were weighed and used for evaluation of ex vivo force and respiration, or snap frozen for biochemical assays. Results C26 mice lost 7.5% body weight ( p = 0.0001 vs. Ctrls), accounted by decreased fat mass (−35%, p < 0.0001 vs. Ctrls), showing mild cachexia irrespective of housing temperature. All C26 mice exhibited reduced force (−40%, p < 0.0001 vs. Ctrls) and increased atrogene expression (3‐fold, p < 0.003 vs. Ctrls). Cancer altered white adipose tissue (WAT)'s functional gene signature (49%, p < 0.05 vs. Ctrls), whereas housing temperature reduced brown adipose tissue (BAT)'s (−78%, p < 0.05 vs. ST Ctrl). Thermogenic capacity measured by Ucp1 expression decreased upon cancer in both WAT and BAT (−93% and −63%, p < 0.0044 vs. Ctrls). Cancer‐driven glucose intolerance was noted at ST (26%, p = 0.0192 vs. ST Ctrl), but restored at TN (−23%, p = 0.005 vs. ST C26). Circulating FGF21, GDF‐15 and IL‐6 increased in all C26 mice (4‐fold, p < 0.009 vs. Ctrls), with a greater effect on IL‐6 at TN (76%, p = 0.0018 vs. ST C26). Tumour and WAT Il6 mRNA levels remained unchanged, while cancer induced skeletal muscle (SkM) Il6 (2‐fold, p = 0.0016 vs. Ctrls) at both temperatures. BAT Il6 was only induced in C26 mice at TN (116%, p = 0.0087 vs. ST C26). At the bioenergetics level, cancer increased SkM SERCA ATPase activity at ST (4‐fold, p = 0.0108 vs. ST Ctrl) but not at TN. In BAT, O 2 consumption enhanced in C26 mice at ST (119%, p < 0.03 vs. ST Ctrl) but was blunted at TN (−44%, p < 0.0001 vs. ST C26). Cancer increased BAT ATP levels regardless of temperature (2‐fold, p = 0.0046 vs. Ctrls), while SERCA ATPase activity remained unchanged at ST and decreased at TN (−59%, p = 0.0213 vs. TN Ctrl). Conclusions In mild cachexia, BAT and SkM bioenergetics are susceptible to different housing temperatures, which influences cancer‐induced alterations in glucose metabolism and systemic responses.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.308
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.

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".

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Citations6
Published2025
Admission routes1
Has abstractyes

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