MODY calculator applied in patients with clinical diagnosis of type 1 diabetes mellitus: Is a higher cutoff needed?

Aim: This study aimed to evaluate the mean post-test probability (PTP) of the Maturity-onset diabetes of the young (MODY) calculator in a multiethnic cohort of patients previously diagnosed with type 1 diabetes (T1DM). Materials and methods: The MODY probability calculator proposed by Shields and colleagues (2012) was applied to 117 patients from a T1DM outpatient clinic at a tertiary hospital in Brazil. Additionally, two exons of the HNF1A gene were sequenced in eight patients who hadn't received insulin treatment within six months after the diagnosis. Results: 17.1 % of patients achieved PTP >10 %; 11.1 % achieved PTP >25 % (and all patients >30 %), and 7.7 % achieved PTP >40 %. Among the patients who were selected for genetic sequencing, 100 % presented PTP >30 %, with 66.6 % achieving PTP >40 % and 41.6 % achieving PTP >75 %. These cutoffs are as suggested for the Brazilian population, according to previous investigations. No mutation was observed in the sequenced exons. Conclusion: Considering that only around 10 % of the evaluated cases achieved PTP >30 %, it is highly probable that the most suitable cutoff to select patients for genetic sequencing in a Brazilian cohort of T1DM is higher than the cutoff used in Caucasian populations.

Beans comsumption can contribute to the prevention of cardiovascular disease.

Cardiovascular diseases (CVD) are the major cause of global mortality, accounting for 31% of deaths worldwide. Healthy eating habits based on the consumption of bioactive molecules present in plant-based diets can contribute to the prevention of CVD. In this context, the consumption of common beans (Phaseolus vulgaris L.) is relevant. There are several species of beans, all of which provide proteins, carbohydrates, dietary fiber, vitamins, minerals, and phenolic compounds. More recently, the complexity of phytochemical components has expanded, including the role of antinutritional factors in nutrient bioavailability and immune responses. Experimental and clinical studies have shown that the consumption of beans results in less food consumption, control of body weight, and improvement of metabolic biochemical parameters. Thus, the consumption of beans is associated with a decrease in CVD risk factors. To date, there have been no interventional studies assessing CVD outcomes, such as hospitalization, infarction, and mortality, in the context of bean consumption. Furthermore, studies on the effect of bean consumption on metabolomics and intestinal microbiota are lacking. The purpose of this review is to explore the nutritional properties of beans and discuss the main effects of the consumption of beans on cardiovascular health. In conclusion, eating habits based on the consumption of bioactive molecules present in beans can contribute to the prevention of cardiovascular disease. Furthermore, there is a large gap in the literature regarding the consumption of beans associated with clinical outcomes, such as hospitalization and mortality.