Distribution of arsenic species and pathological characteristics of tissues of the mice fed with arsenic-supplemented food simulating rice

The exposure and harm of arsenic have attracted wide attention. Rice is an arsenic-rich crop. The purpose of this study was to learn the distribution of arsenic species and the pathological changes in tissues of mice exposed to arsenic-supplemented food simulating rice. Test groups of mice were orally exposed with prepared arsenic feeds supplemented with four arsenic species (arsenite iAs^III, arsenate iAs^V, monomethylarsonate MMA, and dimethylarsinate DMA) at three doses (total As concentration: 0.91, 9.1 and 30 μg/g), which simulated the arsenic species ratio in rice. After 112 days, the concentrations of the arsenic species in the spleen, thymus, heart, skin and hair were detected, and histopathology of the spleen, heart and skin was observed. Each arsenic species was detected and their total concentration increased in a dose-dependent manner with a few exceptions. One interesting phenomenon is that ratio of the organic arsenic to inorganic arsenic also increased in a dose-dependent manner. For the other, the order of tissues from high to low arsenic concentration was the same in the medium- and high-dose groups. The histopathological sections of the spleen, heart and skin showed dose-dependent debilitating alterations in tissue architecture. Hyperplasia, hyaline degeneration and sclerosis of fibrous connective tissue occurred in the spleen. Myocardial cell atrophy and interstitial edema occurred in the heart. Hyperpigmentation, hyperkeratosis and atypia of basal cells occurred in the skin. In summary, the long-term intake of high arsenic rice has a health risk. Further studies are needed to assess it.

Role of food neophobia and early exposure in children's implicit attentional bias to fruits and vegetables

Children often struggle to eat the daily recommended servings of fruits and vegetables, and as a result many have poor nutrient intake. This is especially problematic for neophobic children; or those who are hesitant to try new foods. Maratos and Staples [Appetite, 91, 220-225 (2015)] found that children who are high in food neophobia show attentional biases to unfamiliar fruits and vegetables, which may be related to their low consumption of these healthy foods. The present study sought to replicate and extend these findings, by using a visual dot-probe task that paired images of fruits and vegetables to perceptually matched neutral control stimuli. Seventy-eight 5-8 year-old children (M_age = 6.4 years, SD = 1.1, 42% girls) participated. Initial analyses failed to reveal significant attentional biases to the foods in children who were high in neophobia. Subsequent exploratory analyses included children's previous exposure to the foods in the task as a moderator variable. These analyses revealed that overall, children showed an attentional bias away from familiar fruits and vegetables. Moreover, previous exposure to the foods moderated the effect of food neophobia on attentional bias. For children who were low in food neophobia, as their fruit and vegetable exposure increased, their attentional bias away from the familiar foods decreased. In contrast, for food neophobic children, as fruit and vegetable exposure increased, they showed more attentional bias away from familiar foods. Although these findings failed to replicate those reported by Maratos and Staples (2015), they suggest that children's attentional biases to healthy foods may be a result of the interplay between food neophobia and the food environment to which they are exposed.

Wow! They really like celeriac! Kindergarten teachers' experiences of an intervention to increase 1-year-olds' acceptance of vegetables

Exposure to varied foods in early life is important for short- and long-term health and development. Strategically introducing toddlers to new vegetables is not a common practice in Norwegian kindergartens. Therefore, we developed, conducted, and evaluated a web-based cluster randomised kindergarten intervention, Pre-schoolers' Food Courage 2.0. The purpose of the current qualitative study was to explore kindergarten teachers' experience of implementing this intervention and what they thought facilitated the positive impact of the intervention reported in the quantitative evaluation. Ten individual telephonic interviews with kindergarten teachers who took part in the intervention study were conducted using a semi-structured interview guide. Data were transcribed verbatim and subjected to thematic analysis. Five main themes were identified: 1) One-year-olds love food and renewal of the menus was inspiring; 2) One-year-olds are surprisingly willing to try and accept novel foods; 3) Novel food at meals stimulate social interaction; and 4) The Sapere method is a fun and explorative activity for 1-year-olds. These four themes were the features perceived as the effective elements of the intervention by the kindergarten teachers. The fifth main theme was: 5) Sustained impact on kindergarten teachers' practices and beliefs. The kindergarten teachers found the intervention easy to implement, and they were surprised by the foods 1-year-olds like and how the intervention increased their food acceptance. This age window of opportunity seems to be underused in kindergartens. By using the strategies described in the intervention, kindergarten staff effectively took advantage of this opportunity and consequently, child and kindergarten staff behaviour in relation to food was enhanced. Interventions targeting healthy feeding practices may potentially have a long-term public health impact by increasing food variety and vegetable intake in toddlers. TRIAL REGISTRATION: ISRCTN98064772.

Phthalates in the diet of Mexican children of school age. Risk analysis

Phthalates are widely used as plasticizers, additives, or solvents. Its extensive use has generated environmental and food contamination, which implies continuous population exposure. The aim of this work was to determine the probability of health risk of Mexican children exposed to phthalates through the consumption of contaminated food. A survey was applied to 384 Mexican school-age children (between 6 and 12 years old), to find out the type of food they eat most frequently, based on this, a research was made to know the concentration of phthalates contained in these foods. The daily intake had been calculated with the concentration of phthalates reported in food, obtaining: DEHP (19.50 μg/kg body weight/day), DnBP (5.52 μg/kg body weight/day) y for DEP (1.12 μg/kg body weight/day). The hazard index (HI) for DEP y DEHP was 0.49 to 42.5 for internal organs damage reported. HI for reproductive health damage due to exposure to DnBT and DEHP was of 0.04 to 5.58, so that there is a high probability that children's health is at risk. Therefore, it is necessary to a quantitative analysis of phthalates in food consumed in Latin American countries and establish the TDI of phthalates especially, to DEHP, which was obtained the higher HI.

Determination of arsenicals in mouse tissues after simulated exposure to arsenic from rice for sixteen weeks and the effects on histopathological features

The accumulation of arsenic in rice has become a worldwide concern. In this study, dose-dependency in tissues (intestine, liver and kidney) and blood distribution of inorganic arsenicals and their methylated metabolites were investigated in male C57BL/6 mice exposed to four arsenic species (arsenite [iAs]^III, arsenate [iAs]^V, monomethylarsonate [MMA]^V, and dimethylarsinate [DMA]^V) at four doses (control [C]: 0 μg/g, simulation [S]: 0.91 μg/g, medium [M]: 9.1 μg/g and high [H]: 30 μg/g) according to the arsenical composition in rice for 8 and 16 weeks. No adverse effects were observed, while body weight gain decreased in group H. Increases in total arsenic concentrations (C_tAs) and histopathological changes in the tissues occurred in all of the test groups. C_tAs presented a tendency of kidney > intestine > liver > blood and were time-/dose-dependent in the liver and kidney in groups M and H. In the intestine and blood, abundant iAs (23%-28% in blood and 36%-49% in intestine) was detected in groups M and H, and C_tAs decreased in group H from the 8th week to the 16th week. PMI decreased in the liver and SMI decreased in the kidney. These results indicate that the three tissues are injured through food arsenic. The intestine can also accumulate food arsenic, and the high arsenic dose will cause a deficiency in the absorbing function of the intestine. Thus, long-term exposure to arsenic-contaminated rice should be taken seriously attention.

Arsenic concentrations, diversity and co-occurrence patterns of bacterial and fungal communities in the feces of mice under sub-chronic arsenic exposure through food

BACKGROUND

Arsenic, a global pollutant and a threshold-free primary carcinogen, can accumulate in rice. Previous studies have focused on arsenic poisoning in drinking water and the effects on gut microbes. The research on arseniasis through food, which involves the bio-transformation of arsenic, and the related changes in gut microbiome is insufficient.

METHOD

Mice were exposed from animal feed prepared with four arsenic species (iAs^III, iAs^V, MMA, and DMA) at a dose of 30 mg/kg according to the arsenic species proportion in rice for 30 days and 60 days. The levels of total arsenic (tAs) and arsenic species in mice feces and urine samples were determined using ICP-MS and HPLC-ICP-MS, respectively. 16S rRNA and ITS gene sequencing were conducted on microbial DNA extracted from the feces samples.

RESULTS

At 30 days and 60 days exposure, the tAs levels excreted from urine were 0.0092 and 0.0093 mg/day, and tAs levels in feces were 0.0441 and 0.0409 mg/day, respectively. We found significant differences in arsenic species distribution in urine and feces (p < 0.05). In urine, the predominant arsenic species were iAs^III (23% and 14%, respectively), DMA (55% and 70%, respectively), and uAs (unknown arsenic, 14% and 10%, respectively). In feces, the proportion of major arsenic species (iAs^V, 26% and 21%; iAs^III, 16% and 15%; MMA, 14% and 14%; DMA, 19% and 19%; and uAs, 22% and 29%, respectively) were evenly distributed. Microbiological analysis (MRPP test, α- and β-diversities) showed that diversity of gut bacteria was significantly related to arsenic exposure through food, but diversity of gut fungi is less affected. Manhattan plot and LEfSe analysis showed that arsenic exposure significantly changes microbial taxa, which might be directly associated with arsenic metabolism and diseases mediated by arsenic exposure, such as Deltaproteobacteria, Polynucleobacter, Saccharomyces, Candida, Amanitaceae, and Fusarium. Network analysis was used to identify the changing hub taxa in feces along with arsenic exposure. Function predicting analysis indicated that arsenic exposure might also significantly increase differential metabolic pathways and would disturb carbohydrates, lipid, and amino acids metabolism of gut bacteria.

CONCLUSIONS

The results demonstrate that subchronic arsenic exposure via food significantly changes the gut microbiome, and the toxicity of arsenic in food, especially in staples, should be comprehensively evaluated in terms of the disturbance of microbiome, and feces might be the main pathway through which arsenic from food exposure is excreted and bio-transformed, providing a new insight into the investigation of bio-detoxification for arseniasis.

Playing with food: The effects of food pre-exposure on consumption in young children

Recent research has shown that pre-exposure to food can lead to reduced subsequent consumption in older children and adults when they focus on a task with a non-eating goal during exposure. One assumption is that the reduced consumption is a consequence of self-regulation that helps to concentrate on the task. Because self-regulatory mechanisms are still under development in young children, we studied the effects of food pre-exposure in young children under the age of six (N = 81). Children played a memory game with real sweets (food pre-exposure) or similar non-food stimuli (non-food pre-exposure) and we measured their subsequent food consumption. In contrast to the findings with older children in other studies, we found that pre-exposure led to an increase (not a decrease) in subsequent consumption. This effect was stronger among children with a higher BMI. Food exposure paradigms might not lead to the desired reduction in food intake in young children, whose BMI is positively associated with food reactivity. Thus, food exposure must continue to be considered a strong risk factor for obesity in young children.

How can GPS technology help us better understand exposure to the food environment? A systematic review

Purpose

Global Positioning Systems (GPS) are increasingly being used to objectively assess movement patterns of people related to health behaviours. However research detailing their application to the food environment is scarce. This systematic review examines the application of GPS in studies of exposure to food environments and their potential influences on health.

Methods

Based on an initial scoping exercise, published articles to be included in the systematic review were identified from four electronic databases and reference lists and were appraised and analysed, the final cut-off date for inclusion being January 2015. Included studies used GPS to identify location of individuals in relation to food outlets and link that to health or diet outcomes. They were appraised against a set of quality criteria.

Results

Six studies met the inclusion criteria, which were appraised to be of moderate quality. Newer studies had a higher quality score. Associations between observed mobility patterns in the food environment and diet related outcomes were equivocal. Findings agreed that traditional food exposure measures overestimate the importance of the home food environment.

Conclusions

The use of GPS to measure exposure to the food environment is still in its infancy yet holds much potential. There are considerable variations and challenges in developing and standardising the methods used to assess exposure.

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Since 2011 just 6 studies have been published employing GPS to quantify exposure to food environments.

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The studies were generally only of moderate quality.

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There were significant variations and challenges in the methods and techniques used.

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GIS neighbourhoods may not well represent food environment exposures based on GPS data.