Project description:Metagenomic analysis of fecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer
| PRJEB10878 | ENA
Project description:EMG produced TPA metagenomics assembly of the Metagenomic analysis of fecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer (Metagenomic analysis of fecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer) data set.
Project description:The early detection of tissue and organ damage associated with autoimmune diseases (AID) has been identified as key to improve long-term survival, but non-invasive biomarkers are lacking. Elevated cell-free DNA (cfDNA) levels have been observed in AID and inflammatory bowel disease (IBD), prompting interest to use cfDNA as a potential non-invasive diagnostic and prognostic biomarker. Despite these known disease-related changes in concentration, it remains impossible to identify AID and IBD patients through cfDNA analysis alone. By using unsupervised clustering on large sets of shallow whole-genome sequencing (sWGS) cfDNA data, we uncover AID- and IBD-specific genome-wide patterns in plasma cfDNA in both the obstetric and general AID and IBD populations. Supervised learning of the genome-wide patterns allows AID prediction with 50% sensitivity at 95% specificity. Importantly, the method can identify pregnant women with AID during routine non-invasive prenatal screening. Since AID pregnancies have an increased risk of severe complications, early recognition or detection of new onset AID can redirect pregnancy management and limit potential adverse events. This method opens up new avenues for screening, diagnosis and monitoring of AID and IBD.
Project description:To find predictive biomarkers for the development from inflammatory bowel disease unclassified (IBDU) to Crohn's disease(CD) or ulcerative colitis (UC), we performed short non-coding RNA profiling on IBDU patient samples at the time of diagnostic endoscopy.
Project description:The current treatment for Celiac Disease (CD) is adhering to a gluten-free diet (GFD), although its long-term molecular effects are still undescribed. New molecular features detectable in faecal samples may improve and facilitate non-invasive clinical management of CD on GFD. For this purpose, faecal small non-coding RNAs (sncRNAs) and gut microbiome profiles were concomitantly explored in CD subjects in relation to strict (or not) GFD adherence over time. In the present observational study, we performed small RNA and shotgun metagenomic sequencing in stool from 63 treated CD (tCD) subjects and 66 sex- and age-matched healthy controls. tCD included 51 individuals on strict GFD and with negative transglutaminase (TG) serology (tCD-TG-) and 12 symptomatic with not strict/short-time of GFD adherence and positive TG serology (tCD-TG+). Samples from additional 40 adult healthy individuals and from a cohort of 19 untreated paediatric CD subjects and 19 sex/age matched controls were analyzed to further test the outcomes. Several miRNA, other sncRNA (piRNA and tRNA) and microbiota profiles were altered in tCD subjects(adj.p<0.05). Findings were validated in one external group of controls. In tCD-TG-, GFD duration correlated with five miRNA levels (p<0.05): for miR-4533-3p and miR-2681-3p, the longer the diet adherence, the less the expression differed from controls. tCD-TG+ and untreated paediatric CD patients showed a similar miRNA dysregulation. Immune-response, trans-membrane transport and cell death pathways were enriched in targets of identified miRNAs. Bifidobacterium longum, Ruminococcus bicirculans and Haemophilus parainfluenzae abundances shifted (adj. p<0.05) with a progressive reduction of denitrification pathways with GFD length. Integrative analysis highlighted 121 miRNA-bacterial relationships (adj.p<0.05). Specific faecal sncRNA and microbial patterns characterise CD subjects on GFD, reflecting either the long-term effects or the gut inflammatory status, in case of a not strict/short-time adherence. Our findings suggest novel host-microbial interplays and could help the discovery of biomarkers for the clinical monitoring of GFD over time.
Project description:Owing to the lack of effective screening tools and early detection biomarkers, ovarian cancer (OC) still remains as a deadly disease with highest mortality among other gynecological cancers. So far there have been no attempts to discover biomarkers using early stage OC patients. MicroRNAs (miRNAs) have been recognized as great tool to develop non-invasive biomarkers in various cancers including ovarian cancer.
Project description:Non-invasive biomarkers are needed in inflammatory bowel disease (IBD) to help define disease activity and identify underlying pathogenic mechanisms. We hypothesized that serum metabolomics, which produces unique metabolite profiles, can aid in this search. The aim of this study was to characterize serum metabolomic profiles in patients with IBD, and to assess for differences between patients with ulcerative colitis (UC), Crohn disease (CD), and non-IBD subjects. Serum samples from 20 UC, 20 CD, and 20 non-IBD control subjects were obtained along with patient characteristics, including medication use and clinical disease activity. Non-targeted metabolomic profiling was performed using ultra-high performance liquid chromatography/mass spectrometry (UPLC-MS/MS) optimized for basic or acidic species and hydrophilic interaction liquid chromatography (HILIC/UPLC-MS/MS).
Project description:Dysregulated proteolysis plays a pivotal role in the pathophysiology of inflammatory bowel disease. Nonetheless, the identity of overactive proteases released by human colonic mucosa remains unknown. Herein, we employed a serine protease-targeted activity-based probe (ABP) coupled with mass spectral analysis to identify active forms of proteases secreted by the colonic mucosa of healthy volunteers and inflammatory bowel disease patients. With this approach, we identified seven active serine proteases: cathepsin G, plasma kallikrein, plasmin, tryptase, chymotrypsin-like elastase 3A, aminopeptidase B, and thrombin. Furthermore, cathepsin G and thrombin were overactive in supernatants from inflammatory bowel disease patients once compared to healthy volunteers.
