Other than exposure to gluten and genetic compatibility, the gut microbiome has been suggested to be involved in celiac disease (CD) pathogenesis by mediating interactions between gluten/environmental factors and the host immune system. However, to establish disease progression markers, it is essential to assess alterations in the gut microbiota before disease onset. Here, a prospective metagenomic analysis of the gut microbiota of infants at risk of CD was done to track shifts in the microbiota before CD development. We performed cross-sectional and longitudinal analyses of gut microbiota, functional pathways, and metabolites, starting from 18 mo before CD onset, in 10 infants who developed CD and 10 matched nonaffected infants. Cross-sectional analysis at CD onset identified altered abundance of six microbial strains and several metabolites between cases and controls but no change in microbial species or pathway abundance. Conversely, results of longitudinal analysis revealed several microbial species/strains/pathways/metabolites occurring in increased abundance and detected before CD onset. These had previously been linked to autoimmune and inflammatory conditions (e.g., Dialister invisus, Parabacteroides sp., Lachnospiraceae, tryptophan metabolism, and metabolites serine and threonine). Others occurred in decreased abundance before CD onset and are known to have anti-inflammatory effects (e.g., Streptococcus thermophilus, Faecalibacterium prausnitzii, and Clostridium clostridioforme). Additionally, we uncovered previously unreported microbes/pathways/metabolites (e.g., Porphyromonas sp., high mannose–type N-glycan biosynthesis, and serine) that point to CD-specific biomarkers. Our study establishes a road map for prospective longitudinal study designs to better understand the role of gut microbiota in disease pathogenesis and therapeutic targets to reestablish tolerance and/or prevent autoimmunity.

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The economic evaluation of a land parcel is mainly based on the local economy, as well as on the topography, distance to the main streets, distance to the river, and presence of irrigation. Spatial variability of soil features and functionalities are often left behind during economic land evaluation, probably due to a scarce awareness of soil function's economic value. The paper shows an approach for economic land evaluation of irrigated croplands in the Po River plain (Northern Italy), based on spatial variability of soil functions, namely biomass production and carbon sequestration, as well as taking into account the river flood risk. The soil spatial variability was mapped using proximal sensing technology and few calibration points (one every 5 hectares). Biomass production of the main crops of the area, namely maize, soybean, and sorghum, was monitored and mapped for three years (2016, 2017, and 2018) using precision agriculture technologies. The results showed that the available water capacity (AWC) reached the highest correlation with biomass production, additionally, soil texture and cation exchange capacity were significantly correlated. Economic evaluation of the land parcels was computed considering the mean land market value of the area, the site-specific deviations due to the spatial variability of the biomass production by capitalization rate, and carbon sequestration soil functions, applying a natural capital approach by the mean annual value of the carbon market. This site-specific methodology could be applied to many other arable lands. 2 of 21 maps (land use, topography, alluvial and morphological risks, etc.). Rossiter [2] distinguished several land evaluation units, among which there are:

Coronavirus disease 2019 (COVID-19) restrictions have been correlated with vitamin D deficiency in children, but some uncertainties remain. We retrospectively studied vitamin 25-(OH) D blood levels in 2182 Italian children/adolescents hospitalized for various chronic diseases in the year before (n = 1052) and after (n = 1130) the nationwide lockdown. The type of underlying disease, gender, and mean age (91 ± 55 and 91 ± 61 months, respectively) of patients included in the two periods were comparable. Although mean levels were the same (p = 0.24), deficiency status affected a significantly higher number of subjects during the lockdown period than in the pre-COVID period (p = 0.03), particularly in summer (p = 0.02), and there was also a smoothing of seasonal variations in vitamin D levels. Particularly at risk were males (OR = 1.22; p = 0.03), the 1–5 year age group (OR = 1.57; p < 0.01) and the 6–12 year age group (OR = 1.30; p = 0.04). Infants appeared not to be affected (p = 1.00). In the post-COVID period, the risk of vitamin D deficiency was unchanged in disease-specific groups. However, the proportion of deficiency or severe deficiency differed significantly in the subgroup with endocrinopathy (higher; Chi-square p = 0.04), and with respiratory problems and obesity (lower; Chi-square p = 0.01 and p < 0.01, respectively). Conflicting/opposite literature results advocate for further studies to clearly indicate the need for supplementation during possible future periods of confinement.