The EAT-Lancet Diet Index Is Associated with Lower Obesity and Incidence of Type 2 Diabetes in the Multiethnic Cohort.

BACKGROUND: The EAT-Lancet Commission has developed dietary recommendations, named the EAT-Lancet diet, to promote healthy nutrition and sustainable food production worldwide. OBJECTIVES: We developed an adapted score for the EAT-Lancet diet for participants of the Multiethnic Cohort (MEC) Study and its relation with incidence of obesity and type 2 diabetes (T2D). METHODS: The MEC includes 5 ethnic groups followed since 1993-1996. Anthropometric characteristics and dietary intake were assessed by questionnaire at cohort entry (Qx1) and 10 y later (Qx3). To create the EAT-Lancet index (range: 0-48 points), a 3-point scoring system for 16 food groups standardized to 2500 kcal/d was applied. T2D cases were identified through repeated self-reports and administrative data. In a prospective design, obesity at Qx3 and T2D incidence were evaluated using Cox regression to estimate hazard ratios (HR) with 95% confidence intervals (95% CI) while adjusting for relevant covariates. RESULTS: Among 193,379 MEC participants, the overall mean of the EAT-Lancet index score was 25 ± 4 points and 46,140 new T2D cases were identified. Higher adjusted means were observed in females than males, in participants of Japanese American and Native Hawaiian ancestry, and in those with healthy weight than overweight or obese. Obesity was lower in cohort members with higher EAT-Lancet scores (HR: 0.76; 95% CI: 0.73, 0.79 for tertile 3 compared with 1). Although T2D incidence was 10% lower among participants in the highest (27-42 points) compared with the lowest (9-23 points) EAT-Lancet index tertile (HR: 0.90; 95% CI: 0.88, 0.92), the association was attenuated after BMI adjustment (HR: 0.97; 95% CI: 0.94, 0.99). This inverse association with T2D was restricted to African American and European American participants. CONCLUSIONS: These findings support the hypothesis that adherence to the EAT-Lancet diet is related to a lower risk of obesity, which may be partially responsible for the small reduction in T2D incidence.

The association of a healthy lifestyle index and imaging-based body fat distribution with glycemic status and Type 2 diabetes in the Multi Ethnic Cohort: a cross-sectional analysis.

INTRODUCTION: As several behaviors captured by the Lifestyle Risk Factor Index (LSRI) are protective against Type 2 diabetes (T2D) and may affect body fat distribution, we examined its relation with both outcomes. METHODS: In a subset of the Multiethnic Cohort, participants from five ethnic groups (60-77 years) were assigned LSRI scores (one point each for consuming <1 (women)/<2 (men) alcoholic drinks/day, ≥1.5 physical activity hours/week, not smoking, and adhering to ≥3/7 dietary recommendations). All participants completed an extensive Quantitative Food Frequency Questionnaire to allow estimation of adherence to intake recommendations for fruits, vegetables, refined and whole grains, fish, processed and non-processed meat. Glycemic/T2D status was classified according to self-reports and fasting glucose. We estimated prevalence odds ratios (POR) of LSRI with glycemic/T2D status and DXA- and MRI-based body fat distribution using logistic regression. RESULTS: Of 1713 participants, 43% had normoglycemia, 30% Pre-T2D, 9% Undiagnosed T2D, and 18% T2D. Overall, 39% scored 0-2, 49% 3, and 12% 4 LSRI points. T2D prevalence was 55% (POR 0.45; 95% confidence intervals 0.27, 0.76) lower for 4 vs. 0-2 LSRI points with weaker associations for abnormal glycemic status. Despite the low adherence to dietary recommendations (22%), this was the only component related to lower T2D prevalence. The inverse LSRI-T2D association was only observed among Latinos and Japanese Americans in ethnic-specific models. Visceral fat measures were higher in T2D patients and attenuated the LSRI-T2D association. CONCLUSION: These findings support the role of a healthy lifestyle, especially diet, in T2D prevention with differences across ethnicity.

Age-related influence on DNA damage, proteomic inflammatory markers and oxidative stress in hospitalized COVID-19 patients compared to healthy controls.

COVID-19 infections are accompanied by adverse changes in inflammatory pathways that are also partly influenced by increased oxidative stress and might result in elevated DNA damage. The aim of this case-control study was to examine whether COVID-19 patients show differences in oxidative stress-related markers, unconjugated bilirubin (UCB), an inflammation panel and DNA damage compared to healthy, age-and sex-matched controls. The Comet assay with and without the treatment of formamidopyrimidine DNA glycosylase (FPG) and H2O2 challenge was used to detect DNA damage in whole blood. qPCR was applied for gene expression, UCB was analyzed via HPLC, targeted proteomics were applied using Olink® inflammation panel and various oxidative stress as well as clinical biochemistry markers were analyzed in plasma. Hospitalized COVID-19 patients (n = 48) demonstrated higher serum levels of 55 inflammatory proteins (p < 0.001), including hs-C-reactive protein levels (p < 0.05), compared to healthy controls (n = 48). Interestingly, significantly increased age-related DNA damage (%-DNA in tail) after formamidopyrimidine DNA glycosylase (FPG) treatment was measured in younger (n = 24, average age 55.7 years; p < 0.05) but not in older COVID-19 patients (n = 24, average age 83.5 years; p > 0.05). Although various oxidative stress markers were not altered (e.g., FRAP, malondialdehyde, p > 0.05), a significant increased ratio of oxidized to reduced glutathione was detected in COVID-19 patients compared to healthy controls (p < 0.05). UCB levels were significantly lower in individuals with COVID-19, especially in younger COVID-19 patients (p < 0.05). These results suggest that COVID-19 infections exert effects on DNA damage related to age in hospitalized COVID-19 patients that might be driven by changes in inflammatory pathways but are not altered by oxidative stress parameters.