In Situ Nanocoating on Porous Pyrolyzed Paper Enables Antibiofouling and Sensitive Electrochemical Analyses in Biological Fluids.

Electrochemical detection in complex biofluids is a long-standing challenge as electrode biofouling hampers its sensing performance and commercial translation. To overcome this drawback, pyrolyzed paper as porous electrode coupled with the drop casting of an off-the-shelf polysorbate, that is, Tween 20 (T20), is described here by taking advantage of the in situ formation of a hydrophilic nanocoating (2 nm layer of T20). The latter prevents biofouling while providing the capillarity of samples through paper pores, leveraging redox reactions across both only partially fouled and fresh electrodic surfaces with increasing detection areas. The nanometric thickness of this blocking layer is also essential by not significantly impairing the electron-transfer kinetics. These phenomena behave synergistically to enhance the sensibility that further increases over long-term exposures (4 h) in biological fluids. While the state-of-the-art antibiofouling strategies compromise the sensibility, this approach leads to peak currents that are up to 12.5-fold higher than the original currents after 1 h exposure to unprocessed human plasma. Label-free impedimetric immunoassays through modular bioconjugation by directly anchoring spike protein on gold nanoparticles are also allowed, as demonstrated for the COVID-19 screening of patient sera. The scalability and simplicity of the platform combined with its unique ability to operate in biofluids with enhanced sensibility provide the generation of promising biosensing technologies toward real-world applications in point-of-care diagnostics, mass testing, and in-home monitoring of chronic diseases.

Discrimination surfaces with application to region-specific brain asymmetry analysis.

Discrimination surfaces are here introduced as a diagnostic tool for localizing brain regions where discrimination between diseased and nondiseased participants is higher. To estimate discrimination surfaces, we introduce a Mann-Whitney type of statistic for random fields and present large-sample results characterizing its asymptotic behavior. Simulation results demonstrate that our estimator accurately recovers the true surface and corresponding interval of maximal discrimination. The empirical analysis suggests that in the anterior region of the brain, schizophrenic patients tend to present lower local asymmetry scores in comparison with participants in the control group.

Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection.

We propose a definition of entropy for stochastic processes. We provide a reproducing kernel Hilbert space model to estimate entropy from a random sample of realizations of a stochastic process, namely functional data, and introduce two approaches to estimate minimum entropy sets. These sets are relevant to detect anomalous or outlier functional data. A numerical experiment illustrates the performance of the proposed method; in addition, we conduct an analysis of mortality rate curves as an interesting application in a real-data context to explore functional anomaly detection.

Combining Entropy Measures for Anomaly Detection.

The combination of different sources of information is a problem that arises in several situations, for instance, when data are analysed using different similarity measures. Often, each source of information is given as a similarity, distance, or a kernel matrix. In this paper, we propose a new class of methods which consists of producing, for anomaly detection purposes, a single Mercer kernel (that acts as a similarity measure) from a set of local entropy kernels and, at the same time, avoids the task of model selection. This kernel is used to build an embedding of data in a variety that will allow the use of a (modified) one-class Support Vector Machine to detect outliers. We study several information combination schemes and their limiting behaviour when the data sample size increases within an Information Geometry context. In particular, we study the variety of the given positive definite kernel matrices to obtain the desired kernel combination as belonging to that variety. The proposed methodology has been evaluated on several real and artificial problems.

Asymmetric latent semantic indexing for gene expression experiments visualization.

We propose a new method to visualize gene expression experiments inspired by the latent semantic indexing technique originally proposed in the textual analysis context. By using the correspondence word-gene document-experiment, we define an asymmetric similarity measure of association for genes that accounts for potential hierarchies in the data, the key to obtain meaningful gene mappings. We use the polar decomposition to obtain the sources of asymmetry of the similarity matrix, which are later combined with previous knowledge. Genetic classes of genes are identified by means of a mixture model applied in the genes latent space. We describe the steps of the procedure and we show its utility in the Human Cancer dataset.

Growth in preterm infants until 36 weeks' postmenstrual age is close to target recommendations.

OBJECTIVE: To establish the determinants of weight, length and head circumference changes during their initial hospitalization in very-low-birth-weight preterm infants. SUBJECTS/METHODS: A prospective cohort study was performed. Weight z-score and percentage of target dietary intakes (TDIs) were prospectively determined daily during the first 5 weeks of life in a group of preterm infants (n = 111, birth weight <1,500 g, gestational age <34 weeks). Weight, length and head circumference at 36 weeks' postmenstrual age (PMA) were recorded. A mixed effects regression model was used to evaluate changes in weight z-score during the first 5 weeks of life. Simple Pearson correlations and stepwise logistic regression were used to determine the relationship between fetal growth, illness severity, nutritional intake and growth at 36 weeks' PMA. RESULTS: Weight z-score decreased significantly in all infants during the first 5 weeks of life from -0.92 ± 0.66 at birth to -1.89 ± 0.65 at 5 weeks. The variation of weight z-score during the first 5 weeks of life was influenced by weight z-score at birth, energy and protein intakes and gestational age. Mean energy and protein intakes were 95.5 and 86.4% of TDIs. Weight z-score fell to -2.05 ± 0.64 at 36 weeks' PMA. Birth weight z-score was significantly correlated with weight z-score at 36 weeks (R2 = 0.71; p < 0.001). Severity of illness influenced the weight z-score at 36 weeks. CONCLUSION: Despite achieving a protein and energy intake close to the described target intake, the rate of growth in our infants was lower than indicated by the intrauterine growth curve. Lower gestational age, lower birth weight and severe illness had a negative effect on growth.

Sporadic phaeochromocytoma in childhood: clinical and molecular variability.

Sporadic phaeochromocytoma is an infrequent tumour during paediatric age and may or may not be associated with specific autosomal dominant inherited cancer syndromes such as multiple endocrine neoplasia type 2 (MEN2), von Hippel-Lindau syndrome (VHL) type 2 or neurofibromatosis (NF) type 1. We report two cases of benign, adrenal, and unilateral phaeochromocytoma that clearly demonstrate the clinical and molecular heterogeneity of this disease during the paediatric period. The first patient presented a characteristic symptomatic form of sporadic phaeochromocytoma. The second patient, an incidental finding, was practically asymptomatic and had a de novo germline point mutation in the VHL gene (Arg167Trp). The frequency of de novo mutations in susceptible genes (especially the VHL gene) in paediatric patients with sporadic phaeochromocytoma and the elevated mortality of these cancer syndromes suggest that screening for mutations should be performed even in cases of non-familial sporadic phaeochromocytoma.

Effect of oral glucose administration on ghrelin levels in obese children.

OBJECTIVE: Coexpression of GH secretagogue receptor and ghrelin in the pancreas suggests that this peptide is involved in glucose metabolism. Previous reports in adult humans have demonstrated that plasma ghrelin levels decrease after oral glucose administration. However, no data are available in children. Therefore, the aim of this study was to analyze the response of plasma ghrelin levels in obese children after oral glucose administration. SUBJECTS AND METHODS: Twenty-eight obese children ranging from Tanner I to Tanner V were studied. All subjects were given 0.75 g/kg (maximum 75 g) glucose solution after overnight fasting. Ghrelin, insulin, glucose and IGF-binding-protein-1 were determined at 0, 30, 60 and 120 min of the oral glucose tolerance test (OGTT). RESULTS: Basal plasma ghrelin levels were significantly lower than in the respective control groups. These levels decreased significantly during OGTT in obese children, reaching a nadir of 28+/-9% at 60 min in parallel with the maximum increase in glucose levels and previous to maximum insulin levels. CONCLUSION: The rapid fall in plasma ghrelin concentration in obese children after glucose load suggests a mechanism for the control of appetite after food intake.