Università Cattolica del Sacro Cuore Showcase

Dataset gained through metabolomics from nitrate-free salami samples produced via cold-ripening and hurdle technologies

metabolomic dataset gained from UHPLC/QTOF analysis of bean roots and leaves treated with reltively low dosages of CeO2 nanoparticles

raw data (annotated compounds, composite mass spectra, retention time & abundance) regarding phenolic compounds identified following cooking and fermentation by lactic acid bacteria on quinoa and buckwheat seeds

Heavy metal (HM) contamination in agricultural soils significantly threatens soil health and plant productivity. This study investigates cadmium (Cd) and zinc (Zn) stress impact on tomato plants (Solanum lycopersicum) while exploring the mitigation potential of microbial biostimulants (MBs)—arbuscular mycorrhizal fungi (AMF) and Pseudomonas fluorescens So_08 (PGPR)— employing multi-omics approaches. Specifically, the investigation delves deeply into soil-plant communication mechanisms mediated by root exudates and rhizosphere microbial communities. Root exudate profiling revealed distinct metabolic changes under HM stress, which compromised soil-plant interactions. Under Cd stress, key classes of metabolites, including phenylpropanoids, lipids, and isoprenoids, show reduced secretion. These metabolites play crucial roles in antioxidative defense, suggesting a shift in resource allocation mechanisms. Moreover, Cd negatively impacted rhizosphere fungal populations. Conversely, Zn stress prompted an increased exudation of lipids, including sphingolipids and sterols, reflecting an adaptive strategy to preserve membrane integrity and functionality. This stress also influenced rhizobacterial community structures. The MB application mitigated HM-induced stress by enhancing specialized metabolite syntheses, including cinnamic acids, terpenoids, and flavonoids, which promoted crop resilience. MBs also reshaped microbial diversity, fostering beneficial species like Portibacter spp., Alkalitalea saponilacus under Cd stress, and stimulating rhizobacteria like Aggregatilinea spp. under Zn stress. Multi-omics data integration combined with network analysis highlighted key features associated with improved nutrient availability and reduced HM toxicity under MB treatments, including metabolites and microbial taxa linked to sulfur cycling, nitrogen metabolism, and iron reduction pathways. These findings demonstrate that MBs can modulate plant metabolic responses and restore rhizosphere microbial communities under Cd and Zn stress, with PGPR showing broader metabolomic recovery effects and AMF influencing specific metabolite pathways. This study provides new insights into plant-microbe interactions in HM-contaminated environments, supporting the potential application of biostimulants for sustainable soil remediation and plant health improvement.

We addressed the accuracy of Lung Ultrasound (LUS) to detect pneumothorax in children with acute chest pain evaluated in the pediatric Emergency Department (pED). Methods We prospectively analyzed patients from 5 to 17 years of age with acute chest pain and clinical suspicion of pneumothorax (PNX) evaluated at a tertiary level pediatric hospital. After clinical examination and before Chest X-Ray (CXR), children underwent LUS to evaluate the presence of PNX. Results We enrolled 77 children, 44 (57,1 %) male, with median age of 10 years and 3 months (IQR 6 years and 9 months - 14 years and 2 months). Thirty (39%) children had interstitial lung disease; 20/77 (26%) had pneumonia with or without pleural effusions; 7/77 (9,1%) had thoracic trauma; 7/77 (9,1%) had a final diagnosis of myo/pericarditis and 13 (16,9%) received a final diagnosis of PNX. In all 13 patients LUS showed the “bar-code sign” while in 12 (92,3%) there was the lung point, giving a diagnosis of PNX. All cases were confirmed by CXR. The lung point had a sensitivity of 92,3% and a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 98,4 % for the detection of PNX. The “bar-code sign” had a sensitivity of 100% and a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 100% for the detection of PNX. Conclusions LUS is highly accurate in detecting or excluding pneumothorax in children with acute chest pain evaluated in the pediatric emergency department. Importantly, both lung-point and M-mode need to be performed when PNX is suspected.

Dataset of phenolic and sterolic compounds identiied in extra-virgin olive oil by UHPLC-ESI/QTOF-MS untargeted metabolomics

Metabolomic dataset resulting from the UHPLC-HRMS (Orbitrap) analysis containing all the annotated metabolites in bunk tank milk samples collected from dairy cows following the intake of corn silages contaminated by mycotoxins, together with their level of confidence in annotation, relative abundance, and composite mass spectrum (MS and MSMS transitions). The discriminant milk metabolites passing the different statistical approaches (i.e., Volcano Plots and VIP selection method) together with the cross-validation parameters of the OPLS-DA prediction model built are also provided.

Metabolomic dataset resulting from the UHPLC-HRMS (Orbitrap) analysis containing all the annotated milk metabolites as a function of the different cows' feeding strategies, together with their level of confidence in annotation, relative abundance, and composite mass spectrum (from isotopic-MS and MSMS). The discriminant VIP milk metabolites of the different OPLS-DA models are also provided.

See the enclosed ReadMe.pdf for details on data construction and steps to replicate the results.

Supplementary Table S1. Excel file containing the following sheets: a) plasma metabolites annotated by UHPLC-HRMS analysis; b) RSD (%) of the different annotated metabolites in pooled QC samples; c) VIP discriminant compounds included in the significant metabolomic pathways and resulting from the pairwise comparison "MDP vs MTX"; d) VIP discriminant compounds included in the significant metabolomic pathways and resulting from the pairwise comparison "MDP vs CTR"; e) VIP discriminant compounds included in the significant metabolomic pathways and resulting from the pairwise comparison "MTX vs CTR"; f) Exclusive VIP discriminant compounds for the different pairwise comparisons and resulting from the Venn diagram.