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Characterization of the Duodenal Mucosal Microbiome in Obese Adult Subjects by 16S rRNA Sequencing

Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, 80131 Naples, Italy
CEINGE Biotecnologie Avanzate S. C. a R. L., 80131 Naples, Italy
Task Force on Microbiome Studies, University of Naples Federico II, 80100 Naples, Italy
Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), 80131 Naples, Italy
Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, 00166 Rome, Italy
Department of Medicine and Surgery, University of Salerno, 84084 Salerno, Italy
Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy
Department of Economics and Law, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Microorganisms 2020, 8(4), 485;
Received: 11 February 2020 / Revised: 24 March 2020 / Accepted: 27 March 2020 / Published: 29 March 2020
(This article belongs to the Special Issue Gut Microbiota: Its Role in Diabetes and Obesity)
The gut microbiota may have an impact on obesity. To date, the majority of studies in obese patients reported microbiota composition in stool samples. The aim of this study was to investigate the duodenal mucosa dysbiosis in adult obese individuals from Campania, a region in Italy with a very high percentage of obese people, to highlight microbial taxa likely associated with obesity. Duodenum biopsies were taken during upper gastrointestinal endoscopy in 19 obese (OB) and 16 lean control subjects (CO) and microbiome studied by 16S rRNA gene sequencing. Duodenal microbiome in our groups consisted of six phyla: Proteobacteria, Firmicutes, Actinobacteria, Fusobacteria, Bacteroidetes and Acidobacteria. Proteobacteria (51.1% vs. 40.1%) and Firmicutes (33.6% vs. 44.9%) were significantly (p < 0.05) more and less abundant in OB compared with CO, respectively. Oribacterium asaccharolyticum, Atopobium parvulum and Fusobacterium nucleatum were reduced (p < 0.01) and Pseudomonadales were increased (p < 0.05) in OB compared with CO. Receiver operating characteristic curve analysis showed Atopobium and Oribacterium genera able to discriminate with accuracy (power = 75% and 78%, respectively) OB from CO. In conclusion, increased Proteobacteria and decreased Firmicutes (Lachnospiraceae) characterized the duodenal microbiome of obese subjects. These data direct to further studies to evaluate the functional role of the dysbiotic-obese-associated signature. View Full-Text
Keywords: obesity; duodenum; microbiome obesity; duodenum; microbiome
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Nardelli, C.; Granata, I.; D'Argenio, V.; Tramontano, S.; Compare, D.; Guarracino, M.R.; Nardone, G.; Pilone, V.; Sacchetti, L. Characterization of the Duodenal Mucosal Microbiome in Obese Adult Subjects by 16S rRNA Sequencing. Microorganisms 2020, 8, 485.

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