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Recent evidence suggests that postprandial hypertriglyceridemia (PPT) is associated with the incidence of CVD. Several non-modifiable factors (genetics, age, gender) and lifestyle factors (physical activity, smoking, regular alcohol) have shown their ability to modulate PPT. We evaluate the influence of regular alcohol intake, physical activity and smoking habit modulating PPT in the CORDIOPREV study (NCT00924937).1002 patients were subject to an oral fat load test meal and serial blood samples were drawn at 0, 1, 2, 3 and 4 h during postprandial state. A PPT concentration above 2.5 mmol/L (220 mg/dL) at any time point has been established as a detrimental response. Alcohol consumption was defined as non-drinkers, moderate and severe intake; regular physical activity exceeding than or lower than 1000 MET/week; smoking habit was classified in current, never, recent ex-smokers and long-term ex-smokers.The prevalence of undesirable PPT response was 68% in current, 58% in recent ex-smokers, 49% in long-term ex-smokers and 48% in never smokers (p 0.001). Current and recent ex-smokers displayed higher PPT response as well as a greater area under the curve (AUC) and higher incremental (iAUC) of triglycerides (TG) compared with long-term ex-smokers and never smokers (p 0.05), without differences among these subgroups. No differences were observed in the magnitude of PPT according to regular physical activity or alcohol intake habits.Smoking is an independent risk factor modulating the magnitude of PPT. However, after tobacco cessation, ex-smokers show a progressive decrease on their PPT to reach levels similar to those of never smokers.

Graphical abstract, Highlights • Type 2 diabetes (T2DM) increases the risk of recurrence in myocardial infarction patients. • A gut microbiota profile is associated to the further T2DM development. • Microbiome data improved the prediction of T2DM development when added to clinical parameters. • A risk score including the most predictive genera was associated with the probability of T2DM. • A high risk score was associated with a higher hepatic insulin resistance and β-cell dysfunction., Introduction A distinctive gut microbiome have been linked to type 2 diabetes mellitus (T2DM). Objectives We aimed to evaluate whether gut microbiota composition, in addition to clinical biomarkers, could improve the prediction of new incident cases of diabetes in patients with coronary heart disease. Methods All the patients from the CORDIOPREV (Clinical Trials.gov.Identifier: NCT00924937) study without T2DM at baseline were included (n = 462). Overall, 107 patients developed it after a median of 60 months. The gut microbiota composition was determined by 16S rRNA gene sequencing and predictive models were created using hold-out method. Results A gut microbiota profile associated with T2DM development was determined through a microbiome-based predictive model. The addition of microbiome data to clinical parameters (variables included in FINDRISC risk score and the diabetes risk score of the American Diabetes Association, HDL, triglycerides and HbA1c) improved the prediction increasing the area under the curve from 0.632 to 0.946. Furthermore, a microbiome-based risk score including the ten most discriminant genera, was associated with the probability of develop T2DM. Conclusion These results suggest that a microbiota profile is associated to the T2DM development. An integrate predictive model of microbiome and clinical data that can improve the prediction of T2DM is also proposed, if is validated in independent populations to prevent this disease.

Pet ownership positively influences clinical outcomes in cardiovascular prevention. Additionally, cardiovascular disease (CVD) has been previously linked to microbiota dysbiosis. We evaluated the influence of owning a pet and its relationship with the intestinal microbiota. We analyzed the gut microbiota from 162 coronary patients from the CORDIOPREV study (NCT00924937) according to whether they owned pets (n = 83) or not (n = 79). The pet-owner group was further divided according to whether they owned dogs only (n = 28) or not (n = 55). A 7-item pet-owners test score was used. Patients who owned pets had less risk of metabolic syndrome (MetS) (OR = 0.462) and obesity (OR = 0.519) and were younger (p &lt, 0.001) than patients who did not own pets. Additionally, patients who owned dogs had less risk of MetS (OR = 0.378) and obesity (OR = 0.418) and were younger (p &lt, 0.001) than patients who did not own pets. A preponderance of the genera Serratia and Coprococcus was found in the group of owners, while the genera Ruminococcus, an unknown genus of Enterobacteriaceae and Anaerotruncus were preponderant in the group of non-owners. In patients who owned dogs, Methanobrevibacter and two more genera, Coprococcus and Oscillospira, were more common. Our study suggests that the prevalence of MetS and obesity in CVD patients is lower in pet owners, and that pet ownership could be a protective factor against MetS through the shaping of the gut microbiota. Thus, owning a pet could be considered as a protective factor against cardiometabolic diseases.

Purpose The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. For this reason, it is essential to identify biomarkers for the early detection of T2DM risk and/or for a better prognosis of T2DM. We aimed to identify a plasma fatty acid (FA) profile associated with T2DM development. Methods We included 462 coronary heart disease patients from the CORDIOPREV study without T2DM at baseline. Of these, 107 patients developed T2DM according to the American Diabetes Association (ADA) diagnosis criteria after a median follow-up of 60 months. We performed a random classification of patients in a training set, used to build a FA Score, and a Validation set, in which we tested the FA Score. Results FA selection with the highest prediction power was performed by random survival forest in the Training set, which yielded 4 out of the 24 FA: myristic, petroselinic, α-linolenic and arachidonic acids. We built a FA Score with the selected FA and observed that patients with a higher score presented a greater risk of T2DM development, with an HR of 3.15 (95% CI 2.04–3.37) in the Training set, and an HR of 2.14 (95% CI 1.50–2.84) in the Validation set, per standard deviation (SD) increase. Moreover, patients with a higher FA Score presented lower insulin sensitivity and higher hepatic insulin resistance (p Conclusion Our results suggest that a detrimental FA plasma profile precedes the development of T2DM in patients with coronary heart disease, and that this FA profile can, therefore, be used as a predictive biomarker. Clinical Trials.gov.Identifier NCT00924937.

Scope The differences between the baseline gut microbiota of patients who developed type 2 diabetes (T2D) consuming a low‐fat (LF) or a Mediterranean (Med) diet are explored and risk scores are developed to predict the individual risk of developing T2D associated with the consumption of LF or Med diet. Methods and Results All the patients from the CORDIOPREV study without T2D at baseline (n = 462) whose fecal sample are available, are included. Gut microbiota is analyzed by 16S sequencing and the risk of T2D after a median follow‐up of 60 months assessed by Cox analysis. Linear discriminant analysis effect size (LEfSe) analysis shows a different baseline gut microbiota in patients who developed T2D consuming LF and Med diets. A higher abundance of Paraprevotella, and lower Gammaproteobacteria and B. uniformis are associated with T2D risk when an LF diet is consumed. In contrast, higher abundances of Saccharibacteria, Betaproteobacteria, and Prevotella are associated with T2D risk when a Med diet is consumed. Conclusion The results suggest that different interactions between the microbiome and dietary patterns may partially determine the risk of T2D development, which may be used for selecting personalized dietary models to prevent T2D., Agencia de Innovación y Desarrollo de Andalucía. Grant Number: CVI‐7450 Instituto de Salud Carlos III. Grant Numbers: CP14/00114, CPII19/00007, DTS19/00007, FIS PI13/00023, PI16/01777, PI19/00299, PIE 14/00031, PIE14/00005 European Regional Development Fund. Grant Number: na Secretaría de Estado de Investigación, Desarrollo e Innovación. Grant Number: AGL2015‐67896‐P

Alpha- and beta-cells dysfunction is implicated in the development of Type 2 diabetes mellitus (T2DM). We aimed to evaluate whether alpha- and beta-cell dysfunction may precede prediabetes (PreDM) and T2DM development. Furthermore, we explored the role of two healthy diets (Mediterranean and low-fat diets) modulating these processes. We included 462 patients from the CORDIOPREV study without T2DM at baseline, of which 272 were PreDM. During follow-up, 107 patients developed T2DM (T2DM-incident group), 30 developed PreDM (PreDM-incident group), 86 regressed to normoglycemia (PreDM-regression group) and 29 patients remained without PreDM or T2DM criteria (control group), according to the American Diabetes Association diagnosis criteria. We measured glucose, insulin, glucagon and GLP-1 plasma levels in the OGTT performed at baseline and after 2 years of follow-up. Patients were randomized to consume two healthy diets, a Mediterranean (>35%) and a low-fat (

Diabetes (T2DM) is a major global health issue, and developing new approaches to its prevention is of paramount importance. We hypothesized that abnormalities in lipid metabolism are involved in alpha-cell deregulation. We therefore studied the metabolic factors underlying alpha-cell dysfunction in T2DM progression after a dietary intervention (Mediterranean and low-fat). Additionally, we evaluated whether postprandial glucagon levels may be considered as a predictive factor of T2DM in cardiovascular patients. Non-T2DM participants from the CORDIOPREV study were categorized by tertiles of the area under the curve (AUC) for triacylglycerols and also by tertiles of AUC for glucagon. Our results showed that patients with higher triacylglycerols levels presented elevated postprandial glucagon (P = 0.009). Moreover, we observed higher risk of T2DM (hazard ratio: 2.65; 95% confidence interval: 1.56-4.53) in subjects with elevated glucagon. In conclusion, high postprandial lipemia may induce alpha-cell dysfunction in cardiovascular patients. Our results also showed that postprandial glucagon levels could be used to predict T2DM development.

Background We try to explore whether long-term consumption of two healthy dietary patterns (low-fat [LF] diet or Mediterranean diet [MedDiet]) interacts with the apolipoprotein E (APOE) single-nucleotide polymorphisms (SNPs: rs439401, rs440446 and rs7412) modulating postprandial hypertriglyceridemia (ppHTG) in coronary heart disease (CHD) patients. Methods and results We selected patients from the CORDIOPREV study with genotyping and who underwent an oral fat load test (FLT) at baseline and after 3 years follow-up (n = 506). After 3 years of follow-up, we found a gene-diet interaction between the APOE rs439401 SNP and MedDiet. Specifically, T-allele carriers in the MedDiet group showed a more significant decrease in postprandial triglycerides (TG: P = 0.03) and large triacylglycerol-rich lipoproteins (TRLs) TG (large TRLs TG; P = 0.01) compared with CC subjects. Consistently, the area under the curve of TG (AUC-TG; P-interaction = 0.03) and AUC-large TRLs TG (P-interaction = 0.02) were significantly lower in T-allele carriers compared with CC subjects. Conclusions The long-term consumption of a MedDiet modulates ppHTG through APOE genetic variants in CHD patients. This gene-diet interaction may contribute to a more precise dietary advice in CHD patients.

SCOPE It is hypothesized that decreased advanced glycation end products (AGEs) levels could affect type 2 diabetes mellitus (T2DM) remission in newly diagnosed patients through the consumption of two healthy diets. METHODS AND RESULTS Patients from CORDIOPREV study, all with previous cardiovascular events, with T2DM at the beginning of the study are included. Patients are randomized to a Mediterranean or a low-fat diet for five years. No different diabetes remission rates are found among diets. Serum methylglioxal (MG) and carboximethyllysine (CML), levels dietary AGE, as well as gene expression of AGER1 and RAGE are measured. Serum MG decreases only after the consumption of the Mediterranean diet. Moreover, a COX regression analysis shows that each SD decrease in the MG, occurring after the Mediterranean diet, increases the probability of T2DM remission with HR:2.56(1.02-6.25) and p = 0.046 and each SD increase in disposition index at baseline increases the probability of remission with HR:1.94(1.32-2.87) and p = 0.001. CONCLUSIONS It is demonstrated that the reduction of serum AGEs levels and the modulation of its metabolism, occurring after the consumption of a Mediterranean diet, might be involved in the molecular mechanism underlying the T2DM remission of newly diagnosed patients with coronary heart disease.

Summary Aim Our objective was to investigate the role of two healthy diets in modulating the risk of type 2 diabetes (T2DM) development associated with each prediabetes diagnosis criteria in coronary heart disease patients. Additionally, we explored the pathophysiological characteristics and the risk of developing T2DM in patients with different prediabetes criteria. Methods We included 462 patients from the CORDIOPREV study without T2DM at baseline: 213 had prediabetes defined by impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT) (PreDM-IFG/IGT); 180 had prediabetes by isolated hemoglobin glycated plasma levels (PreDM-isolated-HbA1c), and 69 were not prediabetics (non-PreDM), according to the American Diabetes Association criteria. Patients were randomized to consume either a Mediterranean or a low-fat diet. We performed a COX proportional hazards regression analysis to determine the T2DM risk according to diet and the prediabetes criteria after a median follow-up of 60 months. Results We found higher T2DM risk (HR: 2.98; 95% CI 1.27–6.98) in PreDM-IFG/IGT than in PreDM-isolated-HbA1c (HR: 2.31; 95% CI 0.97–5.49) compared with non-PreDM. Long-term consumption of a low-fat diet was associated with a lower risk of T2DM when compared to the Mediterranean diet in the PreDM-IFG/IGT group (HR: 3.20; 95% CI 0.75–13.69 versus HR: 4.70; 95% CI 1.12–19.67, respectively). Moreover, we found the highest risk of T2DM development associated with patients who had both IFG and IGT (HR: 2.15; 95% CI 1.11–4.16). Patients who had both IFG and IGT and consumed a low-fat diet had a lower T2DM risk than those who consumed a Mediterranean diet (HR: 1.53; 95% CI 0.53–4.39 versus HR: 3.33; 95% CI 1.34–8.30, respectively). Conclusion Our results suggest that the type of diet consumed may modulate the risk of T2DM development according to the prediabetes diagnosis criteria. Specifically, our study showed that the consumption of a low-fat diet was more beneficial than a Mediterranean diet in patients with IFG and IGT. Clinical trial registration number ClinicalTrials.gov NCT00924937 .