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 | Metagenomic analysis of gut microbiota in non‑treated plaque psoriasis patients stratified by disease severity: development of a new Psoriasis‑Microbiome Index
Penas Steinhardt, Alberto
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Metagenomic analysis of gut microbiota in non‑treated plaque psoriasis patients stratified by disease severity: development of a new Psoriasis‑Microbiome Index / Penas Steinhardt, Alberto. [s.l.] : [s.n.], 2020-09-10. 11 paginas. | Registro del documento | | Título: | Metagenomic analysis of gut microbiota in non‑treated plaque psoriasis patients stratified by disease severity: development of a new Psoriasis‑Microbiome Index | | Autor(es): | Penas Steinhardt, Alberto | | Descripción: | Fil: Penas Steinhardt, Alberto. Instituto Universitario de Ciencias de la Salud – Fundación Barceló. Secretaria de Ciencia y Tecnologia; Argentina. | | Resumen: | Psoriasis is an immune-mediated skin disorder. Imbalance of gut microbial populations has been implicated in many diseases. We aimed to investigate whether there were differences in gut microbiota in psoriasis patients vs non-psoriasis controls and between psoriasis severity groups. 55 psoriasis patients and 27 controls were included. V3–V4 regions of the 16S rRNA gene of fecal samples were analyzed using Illumina MiSeq. Bioinformatic analysis was performed. We found changes in gut microbiome composition depending on their psoriasis status as determined by weighted unifrac (p < 0.05), in particular an increase in Firmicutes and depletion of Bacteroidetes in psoriasis patients. Additionally, the Faecalibacterium and Blautia genus were higher in psoriasis patients while Bacteroides and Paraprevotella in non-psoriasis controls (p < 0.05, LDA score > 2). Moderate-to-severe psoriasis patients had lower biodiversity than mild psoriatic patients (p = 0.049). No differences for beta-diversity were found. We developed a Psoriasis-Microbiota Index (PMI), which discriminated among psoriasis patients and controls with sensitivity: 0.78 and specificity: 0.79. Furthermore, we performed a meta-analysis with published data to validate this index. We demonstrated gut dysbiosis in psoriasis patients, suggesting a role in psoriasis pathophysiology. Furthermore, we developed a PMI with the potential to discriminate between psoriasis patients and controls across different populations, which could be used as a biomarker in the clinical practice. | | Descriptores: | | | Fecha: | 2020-09-10 | | Formato: | application/pdf | | Extensión: | 11 paginas | | Idioma: | eng | | Lugar: | 7006287, Buenos Aires (inhabited place) | | Sede: | Buenos Aires | | Carrera: | MEDICINA | | Notas: | Proyecto de investigación |
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| | Metagenomic analysis of the human gut microbiome in Inflammatory Bowel Disease
Penas Steinhardt, Alberto
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Metagenomic analysis of the human gut microbiome in Inflammatory Bowel Disease / Penas Steinhardt, Alberto. [s.l.] : [s.n.], 2020-09-10. 1 pagina. | Registro del documento | | Título: | Metagenomic analysis of the human gut microbiome in Inflammatory Bowel Disease | | Autor(es): | Penas Steinhardt, Alberto | | Descripción: | Fil: Penas Steinhardt, Alberto. Instituto Universitario de Ciencias de la Salud – Fundación Barceló. Secretaria de Ciencia y Tecnologia; Argentina. | | Resumen: | Gut microbiota is implicated in many human disorders. Ulcerative colitis (UC) is a chronic inflammatory bowel disease. Although the specific cause is unknown, some genetic and environmental factors have been defined. The purpose of this study was to investigate whether there were differences in gut microbiota in Argentine UC patients vs non-UC controls. In this sense, 23 UC patients and 27 non-UC healthy controls matched by sex, age and BMI were included. DNA extraction was performed from 200mg of feces using Power Fecal DNA Isolation Kit (Qiagen).The hypervariable regions V3-V4 of the bacterial 16S gene was sequenced using MiSeq-Illumina system. Sequences generated were analyzed using quantitative insights into microbial ecology (QIIME) version 1.9.1 software package. To compare taxa relative abundance between groups, we performed linear discriminant analysis (LDA) effect implemented in LEfSe. Alfa diversity did not differ between CU patients and non-CU controls. However, we found that CU patients differ from non-CU controls in the observed community structure. In CU patients, the dominant phyla were Bacteroidetes (43.49±20.18%), Firmicutes (48.94±18.61%), Proteobacteria (4.13±7.12%), Actinobacteria (2.12±1.97%) and Verrucomicrobia (0.38±1.01%) while the principal phyla found in Controls were Bacteroidetes (60.06±13.540%), Firmicutes (32.82±13.51%), Proteobacteria (4.27±3.32%), Verrucomicrobia (1.45±3.18%) and Actinobacteria (0.81±1.46%).The linear discriminant analysis (LDA) effect size (LEfSe) method revealed that the genus Bacteroides and Akkermansia were higher in non-CU control and Bifidobacterium, Eubacterium, Lactobacillus, Collinsella, Peptostreptococcus, Actinomyces, Streptococcus, Slackia and Dialister in CU patients (p < 0.05, LDA score > 2). | | Descriptores: | | | Fecha: | 2020-09-10 | | Formato: | application/pdf | | Extensión: | 1 pagina | | Idioma: | eng | | Lugar: | 7006287, Buenos Aires (inhabited place) | | Sede: | Buenos Aires | | Carrera: | MEDICINA | | Notas: | Proyecto de investigación |
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