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Microorganisms

Title:		Fused Omics Data Models Reveal Gut Microbiome Signatures Specific of Inactive Stage of Juvenile Idiopathic Arthritis in Pediatric Patients
Author(s):		Vernocchi P; Marini F; Capuani G; Tomassini A; Conta G; Del Chierico F; Malattia C; De Benedetti F; Martini A; Dallapiccola B; van Dijkhuizen EHP; Miccheli A; Putignani L;
Address:		"Area of Genetics and Rare Diseases, Unit of Human Microbiome, Bambino Gesu Children's Hospital, IRCCS, 00165 Rome, Italy. Department of Chemistry, Sapienza University of Rome, 00185 Rome, Italy. NMR-based Metabolomics Laboratory, Sapienza University of Rome, 00185 Rome, Italy. Seconda Divisione di Pediatria, Istituto Giannina Gaslini and Universita degli Studi di Genoa, 16147 Genoa, Italy. Department of Pediatric Subspecialties, Division of Nephrology, Bambino Gesu Children's Hospital, IRCCS, 00165 Rome, Italy. Scientific Directorate, Bambino Gesu Children's Hospital, IRCCS, 00165 Rome, Italy. Istituto Giannina Gaslini, 16147 Genoa, Italy, and University Medical Center Utrecht, Wilhelmina Children's Hospital, 3584 EA Utrecht, The Netherlands. Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy. Department of Laboratories, Unit of Parasitology and Area of Genetics and Rare Diseases, Unit of Human Microbiome, Bambino Gesu Children's Hospital, IRCCS, 00165 Rome, Italy"
Journal Title:		Microorganisms
Year:		2020
Volume:		20201006
Issue:		10
Page Number:		-
DOI:		10.3390/microorganisms8101540
ISSN/ISBN:		2076-2607 (Print) 2076-2607 (Electronic) 2076-2607 (Linking)
Abstract:		"Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease in children. Herein, we evaluated the relationship between the gut microbiome (GM) and disease phenotype by an integrated omics fused approach. In a multicenter, observational cohort study, stools from Italian JIA patients were collected at baseline, active, and inactive disease stages, and their GM compared to healthy controls (CTRLs). The microbiota metabolome was analyzed to detect volatile- and non-volatile organic compounds (VOCs); the data were fused with operational taxonomic units (OTUs) from 16S RNA targeted-metagenomics and classified by chemometric models. Non-VOCs did not characterize JIA patients nor JIA activity stages compared to CTRLs. The core of VOCs, (Ethanol, Methyl-isobutyl-ketone, 2,6-Dimethyl-4-heptanone and Phenol) characterized patients at baseline and inactive disease stages, while the OTUs represented by Ruminococcaceae, Lachnospiraceae and Clostridiacea discriminated between JIA inactive stage and CTRLs. No differences were highlighted amongst JIA activity stages. Finally, the fused data discriminated inactive and baseline stages versus CTRLs, based on the contribution of the invariant core of VOCs while Ruminococcaceae concurred for the inactive stage versus CTRLs comparison. In conclusion, the GM signatures enabled to distinguish the inactive disease stage from CTRLs"
Keywords:		Non-VOCs fused omics data gut metabolome gut microbiome microbiomics operational taxonomic units volatile-organic compounds;
Notes:		"PubMed-not-MEDLINEVernocchi, Pamela Marini, Federico Capuani, Giorgio Tomassini, Alberta Conta, Giorgia Del Chierico, Federica Malattia, Clara De Benedetti, Fabrizio Martini, Alberto Dallapiccola, Bruno van Dijkhuizen, E H Pieter Miccheli, Alfredo Putignani, Lorenza eng Switzerland 2020/10/11 Microorganisms. 2020 Oct 6; 8(10):1540. doi: 10.3390/microorganisms8101540"