Vitamins are organic compounds essential for normal physiological functioning and they need to be provided in adequate amounts by the diet. They are nutrients mainly associated to fruit consumption, playing an important role in the cellular function, growth and development of individuals. The present study aimed to analyze levels of vitamins B, C and carotenoids of fruits from the agrobiodiversity of Northeastern Brazil, among them cajuí (Anacardium spp), murici (Byrsonima crassifolia (L.) Kunth), pequi (Caryocar coriaceum Wittm.), jenipapo (Genipa americana L.), mangaba (Hancornia speciosa Gomes), bacuri (Platonia insignis Mart.), cajá (Spondias mombin L.), umbu-cajá (Spondias bahiensis P. Carvalho, Van den Berg & M. Machado), umbu (Spondias tuberosa Arruda), pitanga (Eugenia uniflora L.), araçá (Psidium sobralianum Landrum & Proença). The vitamins were quantified using the analytical method High Performance Liquid Chromatography (HPLC). Vitamin B complex levels varied from 0.003 ± 0.01 mg/100 g to 6.107 ± 0.06 mg/100 g. Vitamin C ranged from 0.36 ± 0.06 mg/100 g to 253.92 ± 9.02 mg/100 g. Carotenoid values ranged from 0.12 ± 0.02 μg/100 g to 395.63 ± 113.69 μg/100 g. Thus, the profile of water-soluble vitamins and carotenoids of the fruits analyzed was quantified. Therefore, these fruits can provide varied amounts of vitamins important to human health. However, it is interesting for the individual to consume fruits in a diversified manner, avoiding monotony and thus guaranteeing the daily intake of more nutrients.

The aim of the study was to investigate the association between blood and tissue levels of selenium and thyroid cancer through a systematic review. We searched for observational studies written in English, Spanish, and Portuguese indexed in PubMed, LILACS, and Scielo without date restriction, that evaluated the association between selenium levels in whole-blood, serum, or plasma and/or thyroid tissue and thyroid cancer, both in individuals with cancer of thyroid as in healthy individuals. Then data were extracted and analyzed. Of the 570 articles identified, five cross-sectional studies were included in the review. In one study, lower concentrations of selenium were found in whole-blood (0.543 μg/ml) and in the thyroid (0.88 μg/g) of thyroid cancer patients compared to controls. Another study showed a decrease in serum selenium concentrations in patients with follicular carcinoma and papillary types (0.077 ± 0.021 μg/ml and 0.080 ± 0.020 μg/ml, respectively). On the other hand, other studies showed no difference in plasma selenium content or glutathione peroxidase activity among patients and healthy volunteers. The available evidence on this issue is inconclusive. Additional studies are needed to elucidate the association between serum and/or tissue levels of selenium and the development of thyroid cancer.

Objective: Studies of subcutaneous and visceral abdominal fat thickness evaluated by ultrasound as a predictor of gestational diabetes mellitus (GDM) have been published, but the best technique and standardization are unknown. To identify, critically evaluate, and analyze studies using subcutaneous and visceral abdominal fat as a model for predicting GDM in the first and second trimesters of pregnancy and evaluate their methodological quality. Methods: PubMed, Scopus, and Web of Science databases were searched from May to July 2019. We included studies of any sample size performed for any duration and in any configuration. Model development and validation studies were eligible for inclusion. Two authors independently performed the eligibility assessment of the studies by reviewing the titles and abstracts. Data on study design, gestational age, diagnostic criteria for GDM, device, ultrasound fat measurement technique, and cutoff point for GDM prediction were extracted. Results: The electronic search resulted in 1331 articles, of which 14 were eligible for systematic review. Different criteria for diagnosing GDM and fat measurement techniques were used. The cutoff point for subcutaneous, visceral, and total abdominal fat for predicting GDM in the first and second trimesters varied between the studies. Conclusion: No study validated the model for predicting GDM using subcutaneous and visceral abdominal fat measurements. External validation studies are recommended to improve the generalization of this GDM predictor in clinical practice.