Influence of betaine consumption on strenuous running and sprinting in a hot environment

This investigation evaluated the effects of a nutritional supplement (the organic osmolyte betaine) in rehydration solutions, with and without carbohydrate and electrolytes. Ten male runners ((mean +/- SD) age, 20 +/- 2 years; weight, 70.6 +/- 6.8 kg; maximal aerobic power, 63.5 +/- 4.1 mL O2 x kg(-1) x min(-1)) dehydrated to -2.7% of body weight. They next rehydrated to -1.4% of body weight by consuming 1 L fluid during each of four experiments (double-blind, randomized, cross-over design): flavored, non-caloric water (W); W + 5 g x L(-1) betaine (W+B); 6% carbohydrate-electrolyte fluid (C); or C + 5 g x L(-1) betaine (C+B). Subjects then performed prolonged treadmill running (75 minutes at 65%Vo2max) plus a performance sprint to volitional exhaustion (3.1-3.8 minutes at 84%Vo2max) in an environmental chamber (31.1 degrees C, 88.0 degrees F). Only W versus W+B and C versus C+B statistical comparisons were germane to the research questions. Observations indicated that rehydration with fluids containing betaine resulted in significant differences (p < 0.05) of plasma volume, oxygen consumption, plasma lactate concentration, and thermal sensation. The present experiments did not support the use of betaine to improve sprint duration, but nonsignificant trends occurred when betaine trials were compared with non-betaine trials (mean C+B > C by 32 seconds, +16%; mean W+B > W by 38 seconds, +21%). We interpret the increases of both aerobic and anaerobic metabolism (C+B > C) to mean that further investigation of betaine as a nutritional supplement, using other types of exercise, is warranted.     

Functional characterization of the Aspergillus fumigatusPHO80 homologue

Phosphate is an ion that is essential for fungal growth. The systems for inorganic phosphate (P_i) acquisition in eukaryotic cells (PHO) have been characterized as a low-affinity (that assures a supply of P_i at normal or high external P_i concentrations) and a high-affinity (activated in response to P_i starvation). Here, as an initial step to understand the PHO pathway in Aspergillus fumigatus, we characterized the PHO80 homologue, PhoB^PHO80. We show that the ΔphoB^PHO80 mutant has a polar growth defect (i.e., a delayed germ tube emergence) and, by phenotypic and phosphate uptake analyses, establish a link between PhoB^PHO80, calcineurin and calcium metabolism. Microarray hybridizations carried out with RNA obtained from wild-type and ΔphoB^PHO80 mutant cells identify Afu4g03610 (phoD^PHO84), Afu7g06350 (phoE^PHO89), Afu4g06020 (phoC^PHO81), and Afu2g09040 (vacuolar transporter Vtc4) as more expressed both in the ΔphoB^PHO80 mutant background and under phosphate-limiting conditions of 0.1 mM P_i. Epifluorescence microscopy revealed accumulation of poly-phosphate in ΔphoB^PHO80 vacuoles, which was independent of extracellular phosphate concentration. Surprisingly, a phoD^PHO84 deletion mutant is indistinguishable phenotypically from the corresponding wild-type strain. mRNA analyses suggest that protein kinase A absence supports the expression of PHO genes in A. fumigatus. Furthermore, ΔphoB^PHO80 and ΔphoD^PHO84 mutant are fully virulent in a murine low dose model for invasive aspergillosis.     

Non-dermatophytic moulds: onychomycosis in four patients infected with the human immunodeficiency virus

Patients infected with human immunodeficiency virus (HIV) are a risk group for onychomycosis, fungal infections caused mainly by dermatophytes and yeast. However, non-dermatohytic moulds are becoming common agents for nail infections in this population of patients. We report four cases of onychomycosis caused by non-dermatophytic moulds (Aspergillus niger, Scytalidium hyalinum, Scytalidium dimidiatum and Fusarium solani) in patients infected with HIV from Recife, Pernambuco, Brazil. Onychomicosis by non-dermatophytic species in HIV-positive patients requires special attention in the clinical and the laboratory. A proper diagnosis is necessary to establish the specific and adequate treatment, preventing fungal invasion.     

Characterisation of inosine monophosphate dehydrogenase expression during retinal development: differences between variants and isoforms

In mammals there are two ubiquitous, catalytically indistinguishable isoforms of inosine monophosphate dehydrogenase and mutations in the type I isoform, but not type II, cause retina-specific disorders. We have characterised the spatio-temporal expression of these proteins during development of the rat retina and performed functional investigations of the recently described retinal type I variants. Inosine monophosphate dehydrogenase was present in all immature cells throughout the retina during embryonic and neonatal development. Following eye opening and cell differentiation its distribution was restricted to the photoreceptors and bipolar cells, becoming prominent in Müller cells with aging. Type II was present in early, developing retinae whilst type I was undetectable. An isoform switch occurred around P10, after which the type I variants, type Ialpha and type Igamma, were the major forms. Functional investigations indicate type Igamma has greater catalytic activity compared with other variants and isoforms. Finally, all forms of type I show an increased propensity to form intracellular macrostructures compared to type II and these structures appear to be regulated in response to changing intracellular GTP levels. Collectively these data demonstrate that (i) type I does not play a role in early retinal development, (ii) type Igamma has greater activity and (iii) there are differences between type I and type II isoforms. These observations are consistent with the aetiology of retinitis pigmentosa and raise the possibility that programmed expression of specific inosine monophosphate dehydrogenase proteins may have arisen to meet the requirements of the cellular environment.     

Characterization of biofilm formation on a humic material

Biofilms are major sites of carbon cycling in streams. Therefore, it is crucial to improve knowledge about biofilms’ structure and microbial composition to understand their contribution in the self-purification of surface water. The present work intends to study biofilm formation in the presence of humic substances (HSs) as a carbon source. Two biofilm flowcells were operated in parallel; one with synthetic stream water, displaying a background carbon concentration of 1.26 ± 0.84 mg L⁻¹, the other with added HSs and an overall carbon concentration of 9.68 ± 1.00 mg L⁻¹. From the biofilms’ results of culturable and total countable cells, it can be concluded that the presence of HSs did not significantly enhance the biofilm cell density. However, the biofilm formed in the presence of HSs presented slightly higher values of volatile suspended solids (VSS) and protein. One possible explanation for this result is that HSs adsorbed to the polymeric matrix of the biofilm and were included in the quantification of VSS and protein. The microbial composition of the biofilm with addition of HSs was characterized by the presence of bacteria belonging to beta-Proteobacteria, Cupriavidus metallidurans and several species of the genus Ralstonia were identified, and gamma-Proteobacteria, represented by Escherichia coli. In the biofilm formed without HSs addition beta-Proteobacteria, represented by the species Variovorax paradoxus, and bacteria belonging to the group Bacteroidetes were detected. In conclusion, the presence of HSs did not significantly enhance biofilm cell density but influenced the bacterial diversity in the biofilm.     

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space

Background  

Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method offers unique properties facilitating separate modelling of predictive variation and structured noise in the feature space. While providing prediction results similar to other kernel-based methods, K-OPLS features enhanced interpretational capabilities; allowing detection of unanticipated systematic variation in the data such as instrumental drift, batch variability or unexpected biological variation.