Methylation potential associated with diet,genotype, protein,and metabolite levels in the Delta Obesity Vitamin Study

Micronutrient research typically focuses on analyzing the effects of single or a few nutrients on health by analyzing a limited number of biomarkers. The observational study described here analyzed micronutrients, plasma proteins, dietary intakes, and genotype using a systems approach. Participants attended a community-based summer day program for 6–14 year old in 2 years. Genetic makeup, blood metabolite and protein levels, and dietary differences were measured in each individual. Twenty-four-hour dietary intakes, eight micronutrients (vitamins A, D, E, thiamin, folic acid, riboflavin, pyridoxal, and pyridoxine) and 3 one-carbon metabolites [homocysteine (Hcy), S-adenosylmethionine (SAM), and S-adenosylhomocysteine (SAH)], and 1,129 plasma proteins were analyzed as a function of diet at metabolite level, plasma protein level, age, and sex. Cluster analysis identified two groups differing in SAM/SAH and differing in dietary intake patterns indicating that SAM/SAH was a potential marker of nutritional status. The approach used to analyze genetic association with the SAM/SAH metabolites is called middle-out: SNPs in 275 genes involved in the one-carbon pathway (folate, pyridoxal/pyridoxine, thiamin) or were correlated with SAM/SAH (vitamin A, E, Hcy) were analyzed instead of the entire 1M SNP data set. This procedure identified 46 SNPs in 25 genes associated with SAM/SAH demonstrating a genetic contribution to the methylation potential. Individual plasma metabolites correlated with 99 plasma proteins. Fourteen proteins correlated with body mass index, 49 with group age, and 30 with sex. The analytical strategy described here identified subgroups for targeted nutritional interventions.

Electronic supplementary material

The online version of this article (doi:10.1007/s12263-014-0403-9) contains supplementary material, which is available to authorized users.     

Understanding Odor Information Segregation in the Olfactory Bulb by Means of Mitral and Tufted Cells

Odor identification is one of the main tasks of the olfactory system. It is performed almost independently from the concentration of the odor providing a robust recognition. This capacity to ignore concentration information does not preclude the olfactory system from estimating concentration itself. Significant experimental evidence has indicated that the olfactory system is able to infer simultaneously odor identity and intensity. However, it is still unclear at what level or levels of the olfactory pathway this segregation of information occurs. In this work, we study whether this odor information segregation is performed at the input stage of the olfactory bulb: the glomerular layer. To this end, we built a detailed neural model of the glomerular layer based on its known anatomical connections and conducted two simulated odor experiments. In the first experiment, the model was exposed to an odor stimulus dataset composed of six different odorants, each one dosed at six different concentrations. In the second experiment, we conducted an odor morphing experiment where a sequence of binary mixtures going from one odor to another through intermediate mixtures was presented to the model. The results of the experiments were visualized using principal components analysis and analyzed with hierarchical clustering to unveil the structure of the high-dimensional output space. Additionally, Fisher''s discriminant ratio and Pearson''s correlation coefficient were used to quantify odor identity and odor concentration information respectively. Our results showed that the architecture of the glomerular layer was able to mediate the segregation of odor information obtaining output spiking sequences of the principal neurons, namely the mitral and external tufted cells, strongly correlated with odor identity and concentration, respectively. An important conclusion is also that the morphological difference between the principal neurons is not key to achieve odor information segregation.     

Comparing alpha-diversity between plants and birds in a remnant wetland: evidence for a threshold and implication for management

In a Mediterranean patchy wetland of central Italy, we analyzed the relationship between the number of bird species, expressed in terms of bird alpha diversity, and plant alpha diversity, expressed as Hill number. This number (the exponential of the Shannon entropy) is considered one of the most strong and reliable indexes of alpha-diversity, synthesizing the information on evenness, richness and diversity in one single metric. We observed a progressive increase of the mean values of bird alpha diversity when plant alpha diversity increases along Hill number. Bird alpha diversity shows an abrupt increase between the first and the second of four categories of plant alpha diversity (0–1, >1–2, >2–3, >3), indicating a threshold response in all the groups considered (breeding, wintering and total bird assemblages). This marked decline of bird species richness at around 1 in the Hill index should represent an alarm for managers: wetland sites at or below this level of plant alpha diversity are likely to be experiencing a drastic decrease in bird species richness, both in spring (breeding birds) and in winter (wintering birds).     

Retromer recycles vacuolar sorting receptors from the trans-Golgi network

Receptor-mediated sorting processes in the secretory pathway of eukaryotic cells rely on mechanisms to recycle the receptors after completion of transport. Based on this principle, plant vacuolar sorting receptors (VSRs) are thought to recycle after dissociating of receptor–ligand complexes in a pre-vacuolar compartment. This recycling is mediated by retromer, a cytosolic coat complex that comprises sorting nexins and a large heterotrimeric subunit. To analyse retromer-mediated VSR recycling, we have used a combination of immunoelectron and fluorescence microscopy to localize the retromer components sorting nexin 1 (SNX1) and sorting nexin 2a (SNX2a) and the vacuolar sorting protein VPS29p. All retromer components localize to the trans -Golgi network (TGN), which is considered to represent the early endosome of plants. In addition, we show that inhibition of retromer function in vivo by expression of SNX1 or SNX2a mutants as well as transient RNAi knockdown of all sorting nexins led to accumulation of the VSR BP80 at the TGN. Quantitative protein transport studies and live-cell imaging using fluorescent vacuolar cargo molecules revealed that arrival of these VSR ligands at the vacuole is not affected under these conditions. Based on these findings, we propose that the TGN is the location of retromer-mediated recycling of VSRs, and that transport towards the lytic vacuole downstream of the TGN is receptor-independent and occurs via maturation, similar to transition of the early endosome into the late endosome in mammalian cells.     

Cardiospheres and tissue engineering for myocardial regeneration: potential for clinical application

Tissue engineering is an increasingly expanding area of research in the cardiovascular field that involves engineering, chemistry, biology and medicine. Cardiac tissue engineering (CTE) aims to regenerate myocardial damage by combining cells, matrix, biological active molecules and physiological stimuli. The rationale behind CTE applications is that in order to regenerate the ventricular wall after a myocardial infarction it is necessary to combine procedures that regenerate both cardiomyocytes and the extracellular matrix. The application of (stem) cells together with a matrix could represent an environment protected from the inflammatory and pro-apoptotic signals, a stemness/survival reservoir slowly releasing cells and factors promoting tissue regeneration and angiogenesis. This review will focus on the applications and advantages that CTE application could offer compared to conventional cell therapy.     

Functions of amine oxidases in plant development and defence

Copper amine oxidases and flavin-containing amine oxidases catalyse the oxidative de-amination of polyamines, which are ubiquitous compounds essential for cell growth and proliferation. Far from being only a means of degrading cellular polyamines and, thus, contributing to polyamine homeostasis, amine oxidases participate in important physiological processes through their reaction products. In plants, the production of hydrogen peroxide (H(2)O(2)) deriving from polyamine oxidation has been correlated with cell wall maturation and lignification during development as well as with wound-healing and cell wall reinforcement during pathogen invasion. As a signal molecule, H(2)O(2) derived from polyamine oxidation mediates cell death, the hypersensitive response and the expression of defence genes. Furthermore, aminoaldehydes and 1,3-diaminopropane from polyamine oxidation are involved in secondary metabolite synthesis and abiotic stress tolerance.     

The structural definition of adducts of stoichiometry MX:dpex (2:3)(∞), M = Cu, Ag, X = simple anion, dpex = Ph2E(CH2)xEPh2, E = P, As

Single crystal X-ray structural characterizations are recorded for a number of adducts of MX:dpex (2:3) stoichiometry (MX = simple univalent copper or silver salt; dpex = Ph₂E(CH₂)_xEPh₂ (E = P, As)). CuX:dppe (2:3) (X = Cl, Br, I, CN) are binuclear [(dppe-P,P′)CuX(P-dppe-P′)CuX(P,P′-dppe)], all centrosymmetric. AgX:dpex (2:3) (dpex = ‘dpae’ (Ph₂As(CH₂)₂AsPh₂), X = Br, F₃CCO₂ (= ‘tfa’), F₃CSO₃ (≡ ‘tfs’); dpex = ‘dpape’ (Ph₂As(CH₂)₂PPh₂), X = CN, SCN, OClO₃) are one-dimensional polymers ?-E′)₁AgX(E-dpex-E′)₂-AgX(E-dpex-E′)₁AgX?, P, As sites scrambled in the latter. AgNO₃:dpam (2:3) is also a one-dimensional polymer, ?AgO·NO·OAg(As-dpam-As)AgO·NO·OAg? (‘dpam’ ≡ Ph₂As(CH₂)₂AsPh₂). AgX:dpae (2:3) (X = I, CN, ClO₄, NO₃) and AgX:dpape (2:3) (X = Br, I, NO₃) are two-dimensional polymers with large 30-membered macrocyclic rings; similar webs are found for dppx ligands in AgOH:dppb (2:3) and AgNCO, Agtfa:dpph (2:3) with 42- and 54-membered rings. Complexes AgX:dpape (1:3) (X = Cl, Br) are defined as mono-nuclear [XAg(Ph₂P(CH₂)₂AsPh₂)₃] arrays, the unidentate ligands predominantly P-bound. Synthetic procedures for the adducts are reported, selected compounds being characterized both in solution (¹H, ³¹P NMR, ESI MS) and in the solid state (IR).     

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks

Schizophrenia is a debilitating psychiatric disorder, leading to both physical and social morbidity. Worldwide 1% of the population is struggling with the disease, with 100,000 new cases annually only in the United States. Despite its importance, the goal of finding effective treatments for schizophrenia remains a challenging task, and previous work conducted expensive large-scale phenotypic screens. This work investigates the benefits of Machine Learning for graphs to optimize drug phenotypic screens and predict compounds that mitigate abnormal brain reduction induced by excessive glial phagocytic activity in schizophrenia subjects. Given a compound and its concentration as input, we propose a method that predicts a score associated with three possible compound effects, i.e., reduce, increase, or not influence phagocytosis. We leverage a high-throughput screening to prove experimentally that our method achieves good generalization capabilities. The screening involves 2218 compounds at five different concentrations. Then, we analyze the usability of our approach in a practical setting, i.e., prioritizing the selection of compounds in the SWEETLEAD library. We provide a list of 64 compounds from the library that have the most potential clinical utility for glial phagocytosis mitigation. Lastly, we propose a novel approach to computationally validate their utility as possible therapies for schizophrenia.