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Item type:Publication, Obesity, Bariatric Surgery, and Cancer Risk: Nutritional Perspectives and Long-Term Clinical Implications(2026); ;Gerardo Sarno ;Martha Montalvan ;Ludovica VerdeGiuseppe AnnunziataObesity is recognized as a causal risk factor for the development of multiple cancers, with risk magnitude varying by tumor site, sex, life stage, and adipose tissue distribution. This narrative review synthesizes recent epidemiological evidence linking excess body fatness with cancer incidence and mortality and integrates the biological mechanisms that explain this association. Chronic low-grade inflammation, insulin resistance with compensatory hyperinsulinemia, dysregulation of adipose-derived hormones and sex steroids, impairment of anti-tumor immune responses, alterations in the gut microbiota, and remodeling of the tumor microenvironment collectively create conditions that favor tumor initiation and progression. Bariatric surgery is the most effective clinical intervention for achieving substantial and sustained weight loss in individuals with severe obesity, and growing evidence indicates that it is associated with a reduction in overall cancer risk and cancer-related mortality, particularly for malignancies strongly linked to obesity. However, the extent of this benefit differs by surgical technique and remains less consistent for colorectal cancer. Beyond metabolic improvements, bariatric surgery produces long-term changes in nutritional physiology that may also influence oncologic outcomes. Persistent deficiencies of micronutrients such as iron, folate, vitamin B12, vitamin D, and calcium can affect DNA synthesis, methylation, oxidative balance, and cellular repair. Altered protein and energy intake may contribute to loss of lean mass and reduced metabolic resilience, while changes in alcohol absorption and metabolism can increase systemic exposure to ethanol and its carcinogenic metabolites. In addition, bariatric surgery induces sustained remodeling of the gut microbiome and bile acid metabolism, which may further modulate tumorigenic signaling. Overall, the oncological impact of bariatric surgery reflects a balance between metabolic improvement and long-term nutritional management, underscoring the need for structured follow-up and targeted nutritional strategies to optimize cancer risk reduction.14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Interpreting Resting Energy Expenditure in Critically Ill Patients with Obesity: Clinical Impact of Weight Adjustment(2026) ;Sebastián Chapela; ; ;Daniel Tettamanti MirandaClaudia KecskesAccurately estimating resting energy expenditure (REE) in critically ill obese patients remains a significant clinical challenge, as predictive equations are consistently inadequate. Metabolic heterogeneity across obesity classes and the role of substrate utilization are insufficiently characterized. Objective: To evaluate the impact of different weight-normalization methods on the interpretation of REE and to identify independent metabolic determinants of weight-adjusted energy expenditure in critically ill patients with obesity. Methods: Bicentric cross-sectional study of 148 critically ill adults with obesity undergoing indirect calorimetry. REE normalized by actual body weight (REE/kg), ideal body weight (REE/IBW), and adjusted body weight (REE/AdjBW) was calculated. Multivariable models with robust standard errors (HC3), stratified analyses by obesity class (I–III) with a Chow test, and internal validation were performed using 10-fold cross-validation and bootstrap resampling (1000 iterations). Results: Absolute REE did not differ significantly between BMI categories (p = 0.679), while REE/kg progressively decreased from normal weight (27.8 kcal/kg/day) to class III obesity (16.9 kcal/kg/day; p < 0.001). The respiratory quotient (RQ) emerged as the most robust independent correlate of adjusted REE (β = −13 to −15 kcal·kg−1·day−1; p < 0.001), whereas clinical severity scores (SOFA, APACHE II) and comorbidity (Charlson) did not show significant associations. Stratified analyses revealed significant structural heterogeneity between obesity classes (F = 4.545, p = 0.0001), with no significant predictors identified in class III obesity, likely reflecting limited statistical power in this subgroup. Conclusions: Normalizing REE using different weight indices fundamentally alters its metabolic interpretation. RQ surpasses traditional clinical scores as a correlate of adjusted REE, consistent with a phenotype of metabolic inflexibility. The heterogeneity between obesity classes underscores the need for individualized indirect calorimetry rather than reliance on predictive equations.12
