Patricia López-Uriarte

The aim of this study was to assess the validity and reliability of the Salzburg Emotional Eating Scale (SEES) scores among young Mexican university students. A total of 561 students participated (Mage = 19.86, SD = 1.85). The dimensional structure of the SEES was confirmed with 17 items (χ²/df [chi-square/degrees of freedom ratio] = 1.68; CFI [Comparative Fit Index] = 0.96; RMSEA [Root Mean Square Error of Approximation] = 0.05; SRMR [Standardized Root Mean Square Residual] = 0.05.), with adequate internal consistency across the four dimensions of the scale (Anxietyω = 0.85; Happiness = 0.80; Angerω = 0.88; Sadnessω = 0.86). We found evidence of convergent validity among dimensions referring to the same emotions of the SEES and the Emotional Eating Scale (EES) (rs = 0.57 to 0.72) and corroborated the invariance by gender. We conclude that the SEES adapted for young Mexican university students demonstrates satisfactory psychometric properties for use in this demographic group, however, further evaluation of the psychometric properties of the scale is necessary to generalize the results to other adult populations.

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Dietary patterns (DPs) are an essential tool to analyze the relationship between diet and health as they have presented an association with the incidence of chronic non-communicable diseases. Therefore, the aim of this study was the identification and characterization of DPs and their association with cardiovascular risk factors. For this purpose, a cross-sectional descriptive study was carried out in 165 Mexican adults, including dietary intakes derived from a validated food frequency questionnaire, clinical history, anthropometry, and biochemical biomarkers using standardized procedures for glucose, total cholesterol, triglycerides, LDL-c, and HDL-c. DPs were identified through principal component analysis and ordinal logistic regression was used to examine associations between DPs and cardiovascular disease risk factors. Three DPs were identified: Mexican Fast-Food, Variety-Food, and Healthy-Economic, with a high prevalence of overweight and obesity (78%). Having a high adherence to a Mexican Fast-Food pattern (OR 1.71 CI 1.4–2.8), being sedentary (OR 4.85 2.32–10.15) and smoking (0R 6.4 CI 2.40–16.9) increased the risk of having a high scale of risk factors (four or more risk factors simultaneously). In conclusion, the Mexican Fast-Food pattern showed an increase in the risk of having multiple risk factors, while a sedentary lifestyle and overeating were largely responsible for the prevalence of overweight and obesity in this group of Mexican adults.

Diet is a determinant for bodyweight and gut microbiota composition. Changes in dietary patterns are useful for the prevention and management of overweight and obesity. We aim to evaluate diet behavior and its potential association with selected gut bacteria and body weight among Mexican young adults. Mexican college students aged between 18 and 25 (normal-weight, overweight, and obese) were recruited. Anthropometric variables were recorded. A validated food frequency questionnaire was applied to all the participants. The percentages of macronutrients, fiber, and energy were calculated, and fecal samples were analyzed by real-time-qPCR to quantify selected gut bacteria. All the participants showed an unbalanced dietary pattern. However, the consumption of fruits, non-fat cereals, and oils and fats without protein were higher in the normal-weight individuals. In the overweight/obese participants, fiber intake did not correlate with the microbial variables, while Kcal from protein and Clostridium leptum correlated positively with Lactobacillus. Similarly, Clostridium coccoides-Eubacterium rectale correlated with Akkermansia muciniphila. In the normal-weight participants, Clostridium leptum and Lactobacillus correlated positively with Clostridium coccoides-Eubacterium rectale and Bifidobacterium, respectively, and Bacteroidetes negatively with Akkermansia muciniphila. In conclusion, a higher fiber intake had a positive impact on body weight and bacterial gut composition in this Mexican population of college students.

Walnuts (Juglans regia L.), hazelnuts (Corylus avellana L.), and almonds (Prunus dulcis Mill.) are rich sources of ellagitannins and proanthocyanidins. Gut microbiota plays a crucial role in modulating the bioavailability of these high molecular weight polyphenols. However, to date there are no studies evaluating the capacity to produce nut phenolic metabolites in subjects with metabolic syndrome (MetS), a pathology associated with an altered gut bacterial diversity. This study applied a LC-MS targeted approach to analyze the urinary excretion of nut phenolic metabolites in MetS subjects following 12 weeks of nut consumption, compared to sex- and age-matched individuals given a nut-free control diet. Metabolites were targeted in both hydrolyzed and nonhydrolyzed urine by LC-PDA-QqQ-MS/MS analysis, and identification of metabolites lacking available standards was confirmed by LC-ESI-ITD-FT-MS. Ellagitannin-derived urolithins A and B significantly increased after the nut-enriched-diet, urolithins C and D were also detected, and a complex combination of urolithin-conjugated forms was observed in nonhydrolyzed urine, confirming an extensive phase II metabolism after absorption. In contrast, no significant increases in proanthocyanidin microbial metabolites were observed in urine following nut consumption. Because the intestinal microbiota of the subjects in this study could catabolize ellagitannins into a wide range of urolithins, further research is strongly warranted on the in vivo potential of these microbial metabolites in reducing cardiometabolic risk.

Through an HPLC-Q-TOF-MS-driven nontargeted metabolomics approach, we aimed to discriminate changes in the urinary metabolome of subjects with metabolic syndrome (MetS), following 12 weeks of mixed nuts consumption (30 g/day), compared to sex- and age-matched individuals given a control diet. The urinary metabolome corresponding to the nut-enriched diet clearly clustered in a distinct group, and the multivariate data analysis discriminated relevant mass features in this separation. Metabolites corresponding to the discriminating ions (MS features) were then subjected to multiple tandem mass spectrometry experiments using LC-ITD-FT-MS, to confirm their putative identification. The metabolomics approach revealed 20 potential markers of nut intake, including fatty acid conjugated metabolites, phase II and microbial-derived phenolic metabolites, and serotonin metabolites. An increased excretion of serotonin metabolites was associated for the first time with nut consumption. Additionally, the detection of urinary markers of gut microbial and phase II metabolism of nut polyphenols confirmed the understanding of their bioavailability and bioactivity as a priority area of research in the determination of the health effects derived from nut consumption. The results confirmed how a nontargeted metabolomics strategy may help to access unexplored metabolic pathways impacted by diet, thereby raising prospects for new intervention targets.