Phosphate import at the arbuscule: just a nutrient?

Central to the mutualistic arbuscular mycorrhizal symbiosis is the arbuscule, the site where symbiotic phosphate is delivered. Initial investigations in legumes have led to the exciting observation that symbiotic phosphate uptake not only enhances plant growth but also regulates arbuscule dynamics and is, furthermore, required for maintenance of the symbiosis. This review evaluates the possible role of the phosphate ion, not only as a nutrient but also as a signal that is necessary for reprogramming the host cortex cell for symbiosis.

Environmental pollution with soil-transmitted helminths in Sanliurfa, Turkey

Soil transmitted helminth (STH) infection are endemic in developing countries. A study was carried out of sewage farms, streams and vegetables to determine the sources and routes of STH infection in Sanliurfa, Turkey. Stool samples from farmhouse inhabitants as well as soil and vegetable samples from the gardens were collected and examined. In addition, water samples from streams and vegetable samples from the city market were collected and examined. One hundred and eighty-seven (59.5%) of a total of 314 samples, including 88.4% of the stool samples, 60.8% of the water samples, 84.4% of the soil samples and 14% of the vegetable samples, were found to be positive for STH eggs. These results indicate that the water, soil and vegetables are heavily contaminated, and suggest a vicious circle between humans and the environment. Improving environmental sanitation is imperative for the control of soil-transmitted helminthiasis in Sanliurfa.

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

PHE-CRCE-010: Estimating Local Mortality Burdens associated with Particulate Air Pollution

The increase in mortality risk associated with long-term exposure to particulate air pollution is one of the most important, and best-characterised, effects of air pollution on health. This report presents estimates of the size of this effect on mortality in local authority areas in the UK, building upon the attributable fractions reported as an indicator in the public health outcomes framework for England. It discusses the concepts and assumptions underlying these calculations and gives information on how such estimates can be made. The estimates are expected to be useful to health and wellbeing boards when assessing local public health priorities, as well as to others working in the field of air quality and public health. The estimates of mortality burden are based on modelled annual average concentrations of fine particulate matter (PM2.5) in each local authority area originating from human activities. Local data on the adult population and adult mortality rates is also used. Central estimates of the fraction of mortality attributable to long-term exposure to current levels of anthropogenic (human-made) particulate air pollution range from around 2.5% in some local authorities in rural areas of Scotland and Northern Ireland and between 3 and 5% in Wales, to over 8% in some London boroughs. Because of uncertainty in the increase in mortality risk associated with ambient PM2.5, the actual burdens associated with these modelled concentrations could range from approximately one-sixth to about double these figures. Thus, current levels of particulate air pollution have a considerable impact on public health. Measures to reduce levels of particulate air pollution, or to reduce exposure of the population to such pollution, are regarded as an important public health initiative.

Food and nutrient intake and attitudes

Poverty has been consistently associated with poorer health. The factors driving this association with poorer health among disadvantaged groups have been extensively investigated and include economic, ecological, psycho-social and structural factors.

Heterogeneous secretion of individual B cells in response to D-glucose and to nonglucidic nutrient secretagogues.

We used a hemolytic plaque assay for insulin to determine whether the same pancreatic B cells respond to D-glucose, 2-amino-bicyclo[2,2,1]heptane-2-carboxylic acid (BCH) and the association of this nonmetabolized analogue of L-leucine with either the monomethyl ester of succinic acid (SME) or the dimethyl ester of L-glutamic acid (GME). During a 30-min incubation in the absence of D-glucose, BCH alone (5 mM) had no effect on insulin release. In contrast, the combination of BCH with either SME (10 mM) or GME (3 mM) stimulated insulin release to the same extent observed in the sole presence of 16.7 mM D-glucose. The effects of BCH plus SME and BCH plus GME on both percentage of secreting B cells and total insulin output were little affected in the presence of D-glucose concentrations ranging from 0 to 16.7 mM. Varying the concentration of SME from 2 to 10 mM also did not influence these effects. In other experiments, the very same B cells were first exposed 45 min to 16.7 mM D-glucose, then incubated 45 min in the presence of only BCH and SME. Under these conditions, most (80.3 +/- 2.5%) of the cells contributing to insulin release did so during both incubation periods. Furthermore, virtually all cells responding to BCH and SME during the second incubation corresponded to cells also responsive to D-glucose during the first incubation. Similar observations were made when the sequence of the two incubations was reversed.(ABSTRACT TRUNCATED AT 250 WORDS)

Air pollution exposure during pregnancy and reduced birth size: a prospective birth cohort study in Valencia, Spain

Background Maternal exposure to air pollution has been related to fetal growth in a number of recent scientific studies. The objective of this study was to assess the association between exposure to air pollution during pregnancy and anthropometric measures at birth in a cohort in Valencia, Spain. Methods Seven hundred and eighty-five pregnant women and their singleton newborns participated in the study. Exposure to ambient nitrogen dioxide (NO2) was estimated by means of land use regression. NO2 spatial estimations were adjusted to correspond to relevant pregnancy periods (whole pregnancy and trimesters) for each woman. Outcome variables were birth weight, length, and head circumference (HC), along with being small for gestational age (SGA). The association between exposure to residential outdoor NO2 and outcomes was assessed controlling for potential confounders and examining the shape of the relationship using generalized additive models (GAM). Results For continuous anthropometric measures, GAM indicated a change in slope at NO2 concentrations of around 40 μg/m3. NO2 exposure >40 μg/m3 during the first trimester was associated with a change in birth length of -0.27 cm (95% CI: -0.51 to -0.03) and with a change in birth weight of -40.3 grams (-96.3 to 15.6); the same exposure throughout the whole pregnancy was associated with a change in birth HC of -0.17 cm (-0.34 to -0.003). The shape of the relation was seen to be roughly linear for the risk of being SGA. A 10 μg/m3 increase in NO2 during the second trimester was associated with being SGA-weight, odds ratio (OR): 1.37 (1.01-1.85). For SGA-length the estimate for the same comparison was OR: 1.42 (0.89-2.25). Conclusions Prenatal exposure to traffic-related air pollution may reduce fetal growth. Findings from this study provide further evidence of the need for developing strategies to reduce air pollution in order to prevent risks to fetal health and development.

Genome-wide analysis of SREBP1 activity around the clock reveals its combined dependency on nutrient and circadian signals.

In mammals, the circadian clock allows them to anticipate and adapt physiology around the 24 hours. Conversely, metabolism and food consumption regulate the internal clock, pointing the existence of an intricate relationship between nutrient state and circadian homeostasis that is far from being understood. The Sterol Regulatory Element Binding Protein 1 (SREBP1) is a key regulator of lipid homeostasis. Hepatic SREBP1 function is influenced by the nutrient-response cycle, but also by the circadian machinery. To systematically understand how the interplay of circadian clock and nutrient-driven rhythm regulates SREBP1 activity, we evaluated the genome-wide binding of SREBP1 to its targets throughout the day in C57BL/6 mice. The recruitment of SREBP1 to the DNA showed a highly circadian behaviour, with a maximum during the fed status. However, the temporal expression of SREBP1 targets was not always synchronized with its binding pattern. In particular, different expression phases were observed for SREBP1 target genes depending on their function, suggesting the involvement of other transcription factors in their regulation. Binding sites for Hepatocyte Nuclear Factor 4 (HNF4) were specifically enriched in the close proximity of SREBP1 peaks of genes, whose expression was shifted by about 8 hours with respect to SREBP1 binding. Thus, the cross-talk between hepatic HNF4 and SREBP1 may underlie the expression timing of this subgroup of SREBP1 targets. Interestingly, the proper temporal expression profile of these genes was dramatically changed in Bmal1-/- mice upon time-restricted feeding, for which a rhythmic, but slightly delayed, binding of SREBP1 was maintained. Collectively, our results show that besides the nutrient-driven regulation of SREBP1 nuclear translocation, a second layer of modulation of SREBP1 transcriptional activity, strongly dependent from the circadian clock, exists. This system allows us to fine tune the expression timing of SREBP1 target genes, thus helping to temporally separate the different physiological processes in which these genes are involved.

Residential Exposure to Outdoor Air Pollution during Pregnancy and Anthropometric Measures at Birth in a Multicenter Cohort in Spain

BACKGROUND. A growing body of research suggests that prenatal exposure to air pollution may be harmful to fetal development. We assessed the association between exposure to air pollution during pregnancy and anthropometric measures at birth in four areas within the Spanish Children's Health and Environment (INMA) mother and child cohort study. METHODS. Exposure to ambient nitrogen dioxide (NO2) and benzene was estimated for the residence of each woman (n = 2,337) for each trimester and for the entire pregnancy. Outcomes included birth weight, length, and head circumference. The association between residential outdoor air pollution exposure and birth outcomes was assessed with linear regression models controlled for potential confounders. We also performed sensitivity analyses for the subset of women who spent more time at home during pregnancy. Finally, we performed a combined analysis with meta-analysis techniques. RESULTS. In the combined analysis, an increase of 10 µg/m3 in NO2 exposure during pregnancy was associated with a decrease in birth length of -0.9 mm [95% confidence interval (CI), -1.8 to -0.1 mm]. For the subset of women who spent ≥ 15 hr/day at home, the association was stronger (-0.16 mm; 95% CI, -0.27 to -0.04). For this same subset of women, a reduction of 22 g in birth weight was associated with each 10-µg/m3 increase in NO2 exposure in the second trimester (95% CI, -45.3 to 1.9). We observed no significant relationship between benzene levels and birth outcomes. CONCLUSIONS. NO2 exposure was associated with reductions in both length and weight at birth. This association was clearer for the subset of women who spent more time at home.

Impact of thermal proofing of a church on its indoor air-quality - The combustion of candles and incense as a source of pollution

Some years ago, a parish in Geneva decided to reduce heating costs by insulating its church to make it more energy efficient. Three years after the last renovations, it was observed that the internal surfaces of the naves had already become dusty compared with the customary frequency of 10-12 years. Dust even deposited on various surfaces during religious services. Our investigation showed that nearly all the dust found inside the church may in fact be soot from incense and candle combustion. Incense appears to be a significant source of polycyclic aromatic hydrocarbons. With a mechanical ventilation system and petrol lamps resembling candles the problem can be resolved.

Compliance with dietary and nutrient recommendations in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Granada cohort at recruitment

BACKGROUND: The overall intake of energy and nutrients in the Granada EPIC-cohort (European Prospective Investigation into Cancer and Nutrition) is examined in order to assess compliance with the Spanish Nutritional Objectives (NO) and the Recommended Intakes (RI). METHODS: During recruitment (1992-1996), 7,789 participants, aged 35-69, were asked about diet through a validated diet history questionnaire. Nutrient intake is compared to the NO and RI that were valid at that time. Risk of inadequate intake is estimated as the percentage of the sample with intakes: ≤ 1/3 RI (high risk), ≤ 2/3 RI- > 1/3 RI (moderate risk), ≤ RI- > 2/3 RI, > RI. Differences in intakes have been analyzed by sex and age, and by smoking status and BMI. RESULTS: The daily intake of nutrients did not meet the NO as the total contribution of energy from proteins and fats exceeded these guidelines. Whilst intake of most nutrients was above the RI, the amount of iron, magnesium and vitamins D and E provided by the diet was not enough to meet the RI: in women aged 20-49 years, about 55% were at moderate risk for iron inadequacy, and a 20% of women for magnesium. Both sexes were at high risk of inadequacy for vitamin D, although sunlight exposure may supply adequate amounts. Never smokers showed a higher compliance to the NO. CONCLUSION: At recruitment, the nutrient profile of the diet was unbalanced. The observed nutrient inadequacy for iron, magnesium and vitamin E might be attributed to inappropriate dietary habits, and may have implications for future disease risk.

Exploring the mechanisms regulating nutrient bioavailability and lipid metabolism through a nutrigenomics approach

SUMMARY Following the complete sequencing of the human genome, the field of nutrition has begun utilizing this vast quantity of information to comprehensively explore the interactions between diet and genes. This approach, coined nutrigenomics, aims to determine the influence of common dietary ingredients on the genome, and attempts to relate the resulting different phenotypes to differences in the cellular and/or genetic response of the biological system. However, complementary to defining the biological outcomes of dietary ingredients, we must also understand the influence of the multiple factors (such as the microbiota, bile, and function of transporters) that may contribute to the bioavailability, and ultimately bioefficacy, of these ingredients. The gastrointestinal tract (GIT) is the body's foremost tissue boundary, interacting with nutrients, exogenous compounds and microbiota, and whose condition is influenced by the complex interplay between these environmental factors and genetic elements. In order to understand GIT nutrient-gene interactions, our goal was to comprehensively elucidate the region-specific gene expression underlying intestinal functions. We found important regional differences in the expression of members of the ATP-binding cassette family of transporters in the mouse intestine, suggesting that absorption of dietary compounds may vary along the GIT. Furthermore, the influence of the microbiota on host gene expression indicated that this luminal factor predominantly influences immune function and water transport throughout the GIT; however, the identification of region-specific functions suggest distinct host-bacterial interactions along the GIT. Thus, these findings reinforce that to understand nutrient bioavailability and GIT function, one must consider the physiologically distinct regions of the gut. Nutritional molecules absorbed by the enterocytes of the GIT enter circulation and will be selectively absorbed and metabolised by tissues throughout the body; however, their bioefficacy in the body will depend on the unique and shared molecular mechanisms of the various tissues. Using a nutrigenomic approach, the biological responses of the liver and hippocampus of mice fed different long chain-polyunsaturated fatty acids diets revealed tissue-specific responses. Furthermore, we identified stearoyl-CoA desaturase as a hepatic target for arachidonic acid, suggesting a potentially novel molecular mechanism that may protect against diet-induced obesity. In summary, this work begins to unveil the fundamentally important role that nutrigenomics will play in unravelling the molecular mechanisms, and those exogenous factors capable of influencing these mechanisms, that regulate the bioefficacy of nutritional molecules. RÉSUMÉ Suite au séquençage complet du génome humain, le domaine de la nutrition a commencé à utiliser cette vaste quantité d'information pour explorer de manière globale les interactions entre la nourriture et les gènes. Cette approche, appelée « nutrigenomics », a pour but de déterminer l'influence d'ingrédients couramment utilisés dans l'alimentation sur le génome, et d'essayer de relier ces différents phénotypes, ainsi révélés, à des différences de réponses cellulaires et/ou génétiques. Cependant, en plus de définir les effets biologiques d'ingrédients alimentaires, il est important de comprendre l'influence des multiples facteurs (telle que la microflore, la bile et la fonction des transporteurs) pouvant contribuer à la bio- disponibilité et par conséquent à l'efficacité de ces ingrédients. Le tractus gastro-intestinal (TGI), qui est la première barrière vers les tissus, interagit avec les nutriments, les composés exogènes et la microflore. La fonction de cet organe est influencée par les interactions complexes entre les facteurs environnementaux et les éléments génétiques. Dans le but de comprendre les interactions entre les nutriments et les gènes au niveau du TGI, notre objectif a été de décrire de manière globale l'expression génique spécifique de chaque région de l'intestin définissant leurs fonctions. Nous avons trouvé d'importantes différences régionales dans l'expression des transporteurs de la famille des « ATP-binding cassette transporter » dans l'intestin de souris, suggérant que l'absorption des composés alimentaires puisse varier le long de l'intestin. De plus, l'étude des effets de la microflore sur l'expression des gènes hôtes a indiqué que ce facteur de la lumière intestinale influence surtout la fonction immunitaire et le transport de l'eau à travers l'intestin. Cependant, l'identification des fonctions spécifiques de chaque région suggère des interactions distinctes entre l'hôte et les bactéries le long de l'intestin. Ainsi, ces résultats renforcent l'idée que la compréhension de la bio-disponibilité des nutriments, et par conséquent la fonction du TGI, doit prendre en considération les différences régionales. Les molécules nutritionnelles transportées par les entérocytes jusqu'à la circulation sanguine, sont ensuite sélectivement absorbées et métabolisées par les différents tissus de l'organisme. Cependant, leur efficacité biologique dépendra du mécanisme commun ou spécifique de chaque tissu. En utilisant une approche « nutriogenomics », nous avons pu mettre en évidence les réponses biologiques spécifiques du foie et de l'hippocampe de souris nourris avec des régimes supplémentés avec différents acides gras poly-insaturés à chaîne longue. De plus, nous avons identifié la stearoyl-CoA desaturase comme une cible hépatique pour l'acide arachidonique, suggérant un nouveau mécanisme moléculaire pouvant potentiellement protéger contre le développement de l'obésité. En résumé, ce travail a permis de dévoiler le rôle fondamental qu'une approche telle que la « nutrigenomics » peut jouer dans le décryptage des mécanismes moléculaires et de leur régulation par des facteurs exogènes, qui ensemble vont contrôler l'efficacité biologique des nutriments.

Nutrient patterns and their food sources in an International Study Setting: report from the EPIC study.

BACKGROUND Compared to food patterns, nutrient patterns have been rarely used particularly at international level. We studied, in the context of a multi-center study with heterogeneous data, the methodological challenges regarding pattern analyses. METHODOLOGY/PRINCIPAL FINDINGS We identified nutrient patterns from food frequency questionnaires (FFQ) in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study and used 24-hour dietary recall (24-HDR) data to validate and describe the nutrient patterns and their related food sources. Associations between lifestyle factors and the nutrient patterns were also examined. Principal component analysis (PCA) was applied on 23 nutrients derived from country-specific FFQ combining data from all EPIC centers (N = 477,312). Harmonized 24-HDRs available for a representative sample of the EPIC populations (N = 34,436) provided accurate mean group estimates of nutrients and foods by quintiles of pattern scores, presented graphically. An overall PCA combining all data captured a good proportion of the variance explained in each EPIC center. Four nutrient patterns were identified explaining 67% of the total variance: Principle component (PC) 1 was characterized by a high contribution of nutrients from plant food sources and a low contribution of nutrients from animal food sources; PC2 by a high contribution of micro-nutrients and proteins; PC3 was characterized by polyunsaturated fatty acids and vitamin D; PC4 was characterized by calcium, proteins, riboflavin, and phosphorus. The nutrients with high loadings on a particular pattern as derived from country-specific FFQ also showed high deviations in their mean EPIC intakes by quintiles of pattern scores when estimated from 24-HDR. Center and energy intake explained most of the variability in pattern scores. CONCLUSION/SIGNIFICANCE The use of 24-HDR enabled internal validation and facilitated the interpretation of the nutrient patterns derived from FFQs in term of food sources. These outcomes open research opportunities and perspectives of using nutrient patterns in future studies particularly at international level.