Metabolic profiling of adherence to diet, physical activity and body size recommendations for cancer prevention.
Qianqian GuJohn J SpinelliTrevor B J DummerTreena E McDonaldSteven C MooreRachel A MurphyPublished in: Scientific reports (2018)
Maintaining a healthy body weight, eating well and being physically active lowers cancer risk by 30%. However, the biology underlying these relationships is not well understood. We examined cross-sectional associations between metabolites and cancer preventive behaviors as well as the relevance to cancer-related pathways among 120 participants (50% men, mean BMI 26.6 kg/m2, mean age 54 years) with no history of smoking or cancer. Participants completed questionnaires, physical measurements and provided blood samples. Non-targeted nuclear magnetic resonance captured 223 metabolite measures. Factor analysis was performed separately for amino acid, fatty acid and lipoprotein groups. Multivariable-adjusted linear regression was used to evaluate associations between cancer preventive recommendations and metabolite-containing factors (p-value < 0.05, false discovery rate <0.20). An inflammation-related metabolite (glycoprotein acetylation) loaded strongly on a factor that was associated with excess adiposity (body fat ≥25% (men) or ≥30% (women) ß (SE) = 0.74 (0.18)) and not meeting physical activity recommendations (ß (SE) = 0.40 (0.20)). Insulin sensitivity-related metabolites including monounsaturated and polyunsaturated fats were lower among participants not meeting recommendations for adiposity, fruits and vegetables and physical activity while branched chain amino acids were higher. Cancer preventive behaviors were associated with complex metabolic signatures, including alterations in pathways known to be involved in cancer pathogenesis.
Keyphrases
- physical activity
- papillary thyroid
- squamous cell
- magnetic resonance
- amino acid
- cross sectional
- body mass index
- insulin resistance
- small molecule
- gene expression
- magnetic resonance imaging
- clinical practice
- risk assessment
- metabolic syndrome
- depressive symptoms
- polycystic ovary syndrome
- adipose tissue
- dna methylation
- weight gain
- high throughput
- health risk assessment