Project description:MS/MS data of global pools of human urine and faeces from the PRIMA study NCT04804319, targeting features associated with gut environment
Project description:Intestinal microorganisms impact on health maintaining gut homeostasis and shaping the host immunity, while gut dysbiosis associates with many conditions including autism, a complex neurodevelopmental disorder with multifactorial aetiology. In autism, gut dysbiosis correlates with symptom severity and is characterized by a reduced bacterial variability and a diminished beneficial commensal relationship. Microbiota can influence the expression of host microRNAs that, in turn, regulate the growth of intestinal bacteria by means of bidirectional host-gut micro-biota cross-talk. We investigated possible interactions among intestinal microbes and between them and host transcriptional modulators in autism. To this purpose, we analysed, by “omics” technologies, faecal microbiome, mycobiome and small non-coding-RNAs (particularly miRNAs and piRNAs) of children with autism and neurotypical development. Patients displayed gut dysbiosis, related to a reduction of healthy gut micro- and mycobiota, and up-regulated tran-scriptional modulators. The targets of dysregulated non-coding-RNAs are involved in intestinal permeability, inflammation and autism. Furthermore, microbial families, underrepresented in patients, participate to the production of human essential metabolites negatively influencing the health condition. Here, we propose a novel approach to analyse faeces as a whole and, for the first time, we detected miRNAs and piRNAs in faecal samples of patients with autism.
Project description:MicroRNA (miRNA) biomarkers for fragile X syndrome were searched by urine microRNA (miRNA) profiling using deep sequencing. The urine miRNA profile of twin boys who shared the same environment but one had a FXS full mutation and the other carried a premutation allele was compared based on the similar sequence reads. The urine of twin boys showed 28 differentiatially regulated miRNAs when 219 reliable identified miRNAs were compared.
Project description:miRNAs have been proven to be very useful biomarkers, readily detectable in body fluids, particularly urine may be a valuable source to identify changes in miRNA levels that contribute to better differentiate prostate cancer (PCa) from benign prostate hyperplasia (BPH) cases. In order to characterize microRNA expression in urine samples from PCa, we analyzed expression of 376 microRNAs in 9 samples of PCa and 9 of BPH. The Normalized Ct values were compared between PCa and BPH. Statistical comparisons were made using Mann-Whitney U test, considering two different distributions. We found statiscally differences n expression for 21 miRNAs (Fold change >2 and P value<0.05). For the initial screening of all the studied samples, we selected only those with a concentration above 100 ng/ml, for a total of 9 samples of group of PCa and 9 BPH group. The isolated RNA was evaluated by measuring the absorbance at 260 nm and 280 nm. RNA aliquots from specimens were pooled and reverse transcription (RT) reaction was pweformed. In total, we formed 3 pools from BPH specimens and 3 from PCa ones. The RT product was used to perform a preamplification reaction. The product of preamplification teaction was loaded into the Taqman Homo sapiens microRNA Low density arrays (TLDA) panel A and amplification signal was detected using the 7900 FAST real time thermal cycler (ABI).
Project description:Urine TMT-multiplexing proteomic study using high pH RP 1st dimension fractionation and 2nd dimension 1D-low pH RP LCMS analysis. Two 2D-LCMS runs in this study. Each run has 20 fractions. Urine samples are paired with MSV 000084084.
Project description:Antibody microarray based profiling of twelve urine samples.<br>3 healthy female<br>3 heatlhy male<br>3 female with pancreatic cancer<br>3 male with pancreatic cancer<br>
Project description:Dysbiotic configurations of the human gut microbiota have been linked with colorectal cancer (CRC). Human small non-coding RNAs are also implicated in CRC and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis but their role is less explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens of patients with CRC, or adenomas, and healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We reported a considerable overlap and correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. Furthermore, we identified a combined predictive signature composed by 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC from healthy and adenoma samples (AUC= 0.87). In summary we reported evidence that host-microbiome dysbiosis in CRC can be observed also by altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more accurate tools for diagnostic purposes.