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Background: Preterm birth is the leading cause of mortality in newborns, with very-low-birth-weight infants usually experiencing several complications. Breast milk is considered the gold standard of nutrition, especially for preterm infants with delayed gut colonization, because it contains beneficial microorganisms, such as Lactobacilli and Bifidobacteria ., Aim: To analyze the gut microbiota of breastfed preterm infants with a birth weight of 1500 g or less., Methods: An observational study was performed on preterm infants with up to 36.6 wk of gestation and a birth weight of 1500 g or less, born at the University Hospital Dr. José Eleuterio González at Monterrey, Mexico. A total of 40 preterm neonates were classified into breast milk feeding (BM) and mixed feeding (MF) groups (21 in the BM group and 19 in the MF group), from October 2017 to June 2019. Fecal samples were collected before they were introduced to any feeding type. After full enteral feeding was achieved, the composition of the gut microbiota was analyzed using 16S rRNA gene sequencing. Numerical variables were compared using Student's t -test or using the Mann-Whitney U test for nonparametric variables. Dominance, evenness, equitability, Margalef's index, Fisher's alpha, Chao-1 index, and Shannon's diversity index were also calculated., Results: No significant differences were observed at the genus level between the groups. Class comparison indicated higher counts of Alphaproteobacteria and Betaproteobacteria in the initial compared to the final sample of the BM group ( P < 0.011). In addition, higher counts of Gammaproteobacteria were detected in the final than in the initial sample ( P = 0.040). According to the Margalef index, Fisher's alpha, and Chao-1 index, a decrease in species richness from the initial to the final sample, regardless of the feeding type, was observed ( P < 0.050). The four predominant phyla were Bacteroidetes, Actinobacteria, Firmicutes , and Proteobacteria, with Proteobacteria being the most abundant. However, no significant differences were observed between the initial and final samples at the phylum level., Conclusion: Breastfeeding is associated with a decrease in Alphaproteobacteria and Betaproteobacteria and an increase of Gammaproteobacteria , contributing to the literature of the gut microbiota structure of very low-birth-weight, preterm., Competing Interests: Conflict-of-interest statement: There are no conflicts of interest to report., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)

Background: In this paper, we present the intelligent system to characterize optically human skin; our proposal is a non-invasive way to obtain some parameters of the skin such as the concentration of hemoglobin, water percentages, and thickness of the layers of the skin., Material and Methods: To achieve the objective of this work, we used an experimental technique called diffuse reflectance spectrophotometry and numerical calculations, such as the Monte Carlo method and the evolutionary algorithm Evonorm., Results: Five case studies were performed. In the first two cases with the Monte Carlo method, a simulated diffuse reflectance was obtained with proposed parameters in order to compare the parameters obtained by the evolutionary algorithm and the proposed parameters. In the rest of the cases, an experimental diffuse reflectance obtained from volunteers was used., Conclusions: Numerical modeling was presented to non-invasively detect some parameters of the skin such as hemoglobin concentration, water percentages, and the thickness of the epidermis, dermis, and hypodermis. It was proposed to use evolutionary algorithms for being robust methods for the optimization of complex problems with a reasonable computational cost., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: Hormones produced by fat tissue, adipokines, produced during intrauterine life have recently been implicated in fetal growth. Vaspin is an adipokine expressed in visceral adipose tissue and has insulin-sensitizing effects. Elevated serum vaspin concentrations are associated with alterations in insulin sensitivity. We aimed to determine if vaspin concentrations in cord blood from healthy, term newborns differ among those born small for gestational age (SGA), appropriate for gestational age (AGA), and large for gestational age (LGA). A secondary objective was to determine whether an association existed between vaspin and anthropometric measurements, glucose and insulin levels in the newborn., Methods: The study population included healthy term newborns, 30 subjects in the SGA, 12 in the AGA, and 34 in the LGA group. Anthropometry was documented in all subjects. Blood was taken from the umbilical cord vein from each child for later analysis for vaspin, insulin and glucose concentrations., Results: Cord blood vaspin, insulin and glucose concentrations were not different between the three study groups. A negative correlation between vaspin and glucose concentrations was demonstrated in the whole cohort (r=-0.364, p=0.001). This correlation was also observed in the LGA group (r=-0.482, p=0.004). Glucose concentrations significantly predicted vaspin concentrations (r 2 =0.132, p=0.001)., Conclusion: We found a negative association between glucose and vaspin concentrations in umbilical cord blood. In addition there was a predictive association between blood glucose and resulting vaspin concentration, suggesting that vaspin can be used as a predictor of alterations in the insulin-glucose metabolism from birth.

Introduction: Lactose intolerance is a common disease in pediatrics, and its wrong diagnosis will lead to morbidity. The primary objective of this study was to assess the usefulness of an increased waist circumference during the hydrogen breath test as a predictor of lactose intolerance. The secondary objective was to analyze the impact of body mass index, waist circumference measurement, and age on the abdominal distension of patients with lactose intolerance., Population and Methods: A total of 138 subjects aged 3 to 15 years were included. They underwent serial measurements of the waist circumference and hydrogen levels in the breath every 30 minutes over 3 hours during the hydrogen breath test., Results: Out of the entire sample, 35 (25.4%) patients had lactose intolerance. An increase of 0.85 cm in waist circumference compared to the baseline waist circumference results in a sensitivity of 88% and a specificity of 85% to predict lactose intolerance (odds ratio: 42.14, 95% confidence interval: 13.08-135.75, p ≤ 0.001). The body mass index and waist circumference measurement did not affect abdominal distension (p= not significant); however, age modified the time of distension., Conclusions: A 0.85 cm increase in waist circumference compared to the baseline waist circumference during the hydrogen breath test is a useful parameter for the diagnosis of lactose intolerance in pediatrics. Variations in relation to body mass index and waist circumference did not affect the usefulness of an increased waist circumference, unlike age.

Objective: Most adipose tissue programming is realized in early life. Also, the postnatal three months, rather than the later phases of infancy, may be more relevant in the development of an adverse cardiometabolic risk profile. The adipokines phenotype, as a predictor of early-life weight gain, has been recently explored in cord blood. To determine whether in addition to leptin levels in cord samples, adiponectin, interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), resistin, plasminogen activator inhibitor-1 (PAI-1), and tumor necrosis factor alpha (TNF-α) levels improve weight gain prediction during the first three months of life., Methods: Adiponectin, IL-6, MCP-1, leptin, resistin, PAI-1, and TNF-α were measured by multiplex immunoassay in a subsample of 86 healthy term newborns., Results: Leptin levels significantly predicted weight gain at 3 months of follow-up (r2=0.09, p=0.006). In the multivariate analysis, including additional adipokines in the model, stepwise or all at once, did not increase the prediction of weight gain after the first three months of life., Conclusion: Adding adiponectin, IL-6, MCP-1, resistin, PAI-1, and TNF-α to the prediction model of weight gain in healthy newborns did not prove to be useful. It is probable that their relative contribution to weight gain is not important. Only leptin was relevant as a predictor of weight gain at the 3-month endpoint.

In the development of the foetal immune system, cytokines play an important role in its function. Therefore, we sought to determine whether the mode of delivery affects the expression of leptin, IL-6 and TNF-α in umbilical cord blood in healthy term newborns. We collected 125 samples of umbilical cord blood to analyse leptin, IL-6 y TNF-α levels with multiplex immunoassay (MIA). The samples were classified according to mode of delivery: vaginal delivery (VD) and caesarean section (CS). Leptin and IL-6 had higher concentrations in umbilical cord blood in VD than in CS: 42.55 ng/ml (11.92-104.28) versus 35.20 ng/ml (3.26-9326.76), p  =  0.039; 9.32 pg/ml (1.13-2020.31) versus 3.81 pg/ml (0.52-834.69) p < 0.001, respectively. Also, a weak correlation between TNF-α and IL-6 was found (r = 0.238, p = 0.007). The most important finding in our study was the differential concentrations of leptin and IL-6 according to mode of delivery.