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dc.contributor.author
Dei Cas, Ignacio
dc.contributor.author
Giliberto, Florencia
dc.contributor.author
Luce, Leonela Natalia
dc.contributor.author
Dopazo, Hernán Javier
dc.contributor.author
Penas Steinhardt, Alberto
dc.date.available
2020-09-07T20:34:28Z
dc.date.issued
2020-12
dc.identifier.citation
Dei Cas, Ignacio; Giliberto, Florencia; Luce, Leonela Natalia; Dopazo, Hernán Javier; Penas Steinhardt, Alberto; Metagenomic analysis of gut microbiota in non-treated plaque psoriasis patients stratified by disease severity: development of a new Psoriasis-Microbiome Index; Nature Publishing Group; Scientific Reports; 10; 12754; 12-2020; 1-11
dc.identifier.issn
2045-2322
dc.identifier.uri
http://hdl.handle.net/11336/113420
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Nature Publishing Group
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
PSORIASIS
dc.subject
METAGENOMICA
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BIOINFORMÁTICA
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MICROBIOTA
dc.subject.classification
Bioquímica y Biología Molecular
dc.subject.classification
Medicina Básica
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Metagenomic analysis of gut microbiota in non-treated plaque psoriasis patients stratified by disease severity: development of a new Psoriasis-Microbiome Index
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-08-19T19:32:30Z
dc.journal.volume
10
dc.journal.number
12754
dc.journal.pagination
1-11
dc.journal.pais
Reino Unido
dc.journal.ciudad
London
dc.description.fil
Fil: Dei Cas, Ignacio. Universidad de Buenos Aires. Facultad de Medicina; Argentina. Gobierno de la Provincia de Buenos Aires. Hospital Interzonal General de Agudos Presidente Peron; Argentina. Psoriasis BsAs; Argentina
dc.description.fil
Fil: Giliberto, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología; Argentina
dc.description.fil
Fil: Luce, Leonela Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología; Argentina
dc.description.fil
Fil: Dopazo, Hernán Javier. Biocodices Genómica Médica Personalizada; . Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Penas Steinhardt, Alberto. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina. Instituto Universidad de la Fundación "Héctor Barceló"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Scientific Reports
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41598-020-69537-3
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-020-69537-3
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