Exercise suppresses tumor growth independent of high fat food intake and associated immune dysfunction.
Pernille HojmanRikke StagaardEmi Adachi-FernandezAtul Shahaji DeshmukhAndreas MundCaroline H OlsenLena KellerBente Klarlund PedersenJulie GehlPublished in: Scientific reports (2022)
Epidemiological data suggest that exercise training protects from cancer independent of BMI. Here, we aimed to elucidate mechanisms involved in voluntary wheel running-dependent control of tumor growth across chow and high-fat diets. Access to running wheels decreased tumor growth in B16F10 tumor-bearing on chow (- 50%) or high-fat diets (- 75%, p < 0.001), however, tumor growth was augmented in high-fat fed mice (+ 53%, p < 0.001). Tumor growth correlated with serum glucose (p < 0.01), leptin (p < 0.01), and ghrelin levels (p < 0.01), but not with serum insulin levels. Voluntary wheel running increased immune recognition of tumors as determined by microarray analysis and gene expression analysis of markers of macrophages, NK and T cells, but the induction of markers of macrophages and NK cells was attenuated with high-fat feeding. Moreover, we found that the regulator of innate immunity, ZBP1, was induced by wheel running, attenuated by high-fat feeding and associated with innate immune recognition in the B16F10 tumors. We observed no effects of ZBP1 on cell cycle arrest, or exercise-regulated necrosis in the tumors of running mice. Taken together, our data support epidemiological findings showing that exercise suppresses tumor growth independent of BMI, however, our data suggest that high-fat feeding attenuates exercise-mediated immune recognition of tumors.
Keyphrases
- high intensity
- gene expression
- resistance training
- physical activity
- nk cells
- electronic health record
- cell cycle arrest
- type diabetes
- body mass index
- innate immune
- signaling pathway
- transcription factor
- dna methylation
- weight loss
- blood pressure
- skeletal muscle
- oxidative stress
- machine learning
- squamous cell carcinoma
- pi k akt
- weight gain
- papillary thyroid
- data analysis
- squamous cell