Cardiovascular disease (CVD) stands as the leading global cause of mortality, underscoring the critical need for practical tools to assess CVD risk at an early stage. An accessible approach involves the evaluation of bloodwork alongside simple anthropometric measurements. This narrative review seeks to establish the appropriateness of common parameters used in the outpatient setting in assessing the risk of developing CVD. These parameters encompass bloodwork values employed to characterize insulin resistance (IR) and dyslipidemia, as well as anthropometric measurements used to describe issues related to overweight and fat distribution. A particular emphasis is placed on understanding how Mediterranean and ketogenic diets influence these parameters. In the realm of bloodwork, findings indicate that the triglycerides (TG) to high-density lipoproteins (HDL) ratio serves as a valuable tool for assessing both IR and dyslipidemia. Less emphasis should be placed on total cholesterol and low-density lipoproteins (LDL) because the existing literature lacks consistency and fails to establish a clear, direct correlation between cholesterol levels, CVD, and mortality. On the other hand, numerous studies consistently demonstrate a direct correlation between CVD, mortality, and the levels of small-dense LDL (sdLDL), which represent the oxidized form of LDL. Regarding anthropometric parameters, the body mass index (BMI) falls short in value as it neglects to consider fat distribution and lean mass. More informative are anthropometric parameters that account for a single measure of fat mass and another for lean mass, such as the waist-height ratio (WHtR) or the waist-hip ratio (WHR). Both Mediterranean and ketogenic diets demonstrate improvements across major parameters used to evaluate CVD and mortality risk. The ketogenic diet, in particular, yields superior results in most aspects, except cholesterol levels. Further studies are recommended to refine dyslipidemia characterization and its connection to health outcomes.

Nitenpyram (NIT) and dinotefuran (DNF) are neonicotinoid pesticides commonly used in the production and storage of agricultural products, as well as in forests and gardens, for the purpose of protection from insect pests. Although they are safer for mammals, their toxic effects on pollinators, such as bees, and their long-term accumulation in water and soil, are important problems. Therefore, it is crucial to ensure that their usage remains within certain specific limits and that their residues are quickly, precisely, and reliably monitored in various samples. In this review, electrochemical methods, which are voltammetry, amperometry, and potentiometry, for the determination of NIT and DNF in pure solutions, agricultural, and environmental samples by using various modified electrodes were reviewed. The results obtained from studies published since 2011 were compared, and the effectiveness of the selected methods was demonstrated. It was observed that the electrochemical methods, particularly voltammetry, used in the studies conducted for NIT and DNF yielded selective and sensitive results at detection limits at nmol L^–1 levels. These methods also exhibited high precision and accuracy without being affected by the matrix of the studied samples, such as soil, water, or agricultural products.

Aim: This study aims to evaluate the sensory profile of corn-based extrudates fortified with phytosterol and pea protein isolates (PPI) using the fuzzy logic technique to assess similarity values and rank the quality attributes. Methods: Using a mix of yellow PPI (ranging from 0 to 20%) and corn flour (ranging from 80% to 100%), extrudates were developed, ensuring a consistent addition of phytosterol-containing oil at 5%. For this experiment, the Box-Behnken (BB) design was used, comprising 17 runs, factoring in parameters like the percentage of PPI (0–20%), screw speed (300–500 rpm), and temperature (130°–150°C). The optimal conditions were found to be 2.78% PPI, a screw speed of 451 rpm, and a temperature of 150°C, resulting in a desirability value of 0.725. For sensory evaluation, the fuzzy logic technique was used to compare the functional extrudates (S₁) with commercial variants (S₂, S₃, and S₄). This helped to gauge acceptance/rejection, similarity values, rankings, and overall consumer acceptability of the extrudates. Results: Commercial sample S₄ achieved the highest ranking on the sensory scale as “very good”. When considering the quality attributes of extrudates, taste and mouthfeel were the most favored, followed by color and flavor. This study underscored the value of using fuzzy logic for sensory evaluation in determining the acceptance of new food products. It also proved effective in assessing food products’ quality attributes, especially after evaluating the phytosterol content post-extrusion. Conclusions: The fuzzy logic technique in sensory evaluation has effectively identified the optimal extrudates and their quality attributes during the development of new functional food.

Aim: Cardiovascular disease (CVD) are among the main causes of death worldwide and dyslipidemias account for one of the risk factors for these diseases. Habitual apple consumption appears to be inversely associated with reduced cardiovascular risk. Then, this systematic review aims to investigate the effect of chronic apple consumption on the lipid profile of adults with dyslipidemia. Methods: A systematic search was performed in electronic databases, including PubMed, Embase, Web of Science and Scopus, without restriction of year of publication. Inclusion criteria were randomized clinical trials in humans that investigated the effect of chronic consumption of whole fresh or dried apple, for a period longer than two weeks of intervention on the lipid profile. Results: Based on the methodology used and following the pre-established search strategies, 4,468 articles were found. After applying the inclusion and exclusion criteria, five articles were selected for qualitative evaluation, covering 522 adult participants of both sexes. Three randomized controlled trials included in this review demonstrated that there was a decrease in plasma total cholesterol (TC), triglyceride and low-density lipoprotein cholesterol (LDL-c) concentrations, in addition to an increase in high-density lipoprotein cholesterol (HDL-c) concentration. Two other studies found different results. Low risk of bias was identified in three studies. Conclusions: The analysis of the studies indicates that the consumption of fresh and/or dried apples with the peel has a beneficial effect on the lipid profile of adults, with a decrease in TC and LDL-c. These effects may be related to polyphenols and soluble fibers, among other functional compounds present in this fruit.