Identification of a Shared Microbiomic and Metabolomic Profile in Systemic Autoimmune Diseases

Autor:	Antonio Segura-Carrettero, Chiara Bellocchi, Barbara Vigone, Álvaro Fernández-Ochoa, Gaia Montanelli, Maria Gerosa, Isabel Borrás-Linares, Marta E. Alarcón-Riquelme, Roberta Gualtierotti, Carolina Artusi, Rosa Quirantes-Piné, Alessandro Santaniello, Lorenzo Beretta
Rok vydání:	2019
Předmět:	lcsh:Medicine primary anti-phosholipid syndrome behavioral disciplines and activities Article 03 medical and health sciences 0302 clinical medicine Metabolomics systemic lupus erythematosus immune system diseases mental disorders Metabolome Medicine In patient Microbiome skin and connective tissue diseases 030304 developmental biology 030203 arthritis & rheumatology 0303 health sciences Metabolic function biology business.industry lcsh:R microbiomic Undifferentiated connective tissue disease General Medicine medicine.disease biology.organism_classification metabolomics undifferentiated connective tissue diseases 3. Good health systemic autoimmune diseases Sjögren’s syndrome Immunology business Dysbiosis Bacteria
Zdroj:	Journal of Clinical Medicine Digibug. Repositorio Institucional de la Universidad de Granada instname Volume 8 Issue 9 Journal of Clinical Medicine, Vol 8, Iss 9, p 1291 (2019)
ISSN:	2077-0383
DOI:	10.3390/jcm8091291
Popis:	Dysbiosis has been described in systemic autoimmune diseases (SADs), including systemic lupus erythematosus (SLE), Sjö gren&rsquo s syndrome (SjS), and primary anti-phosholipid syndrome (PAPS), however the biological implications of these associations are often elusive. Stool and plasma samples from 114 subjects, including in SLE (n = 27), SjS (n = 23), PAPs (n = 11) and undifferentiated connective tissue (UCTD, n = 26) patients, and geographically-matched healthy controls (HCs, n = 27), were collected for microbiome (16s rRNA gene sequencing) and metabolome (high-performance liquid chromatography coupled to mass spectrometry) analysis to identify shared characteristics across diseases. Out of 130 identified microbial genera, a subset of 29 bacteria was able to differentiate study groups (area under receiver operating characteristics (AUROC) = 0.730 ± 0.025). A fair classification was obtained with a subset of 41 metabolic peaks out of 254 (AUROC = 0.748 ± 0.021). In both models, HCs were well separated from SADs, while UCTD largely overlapped with the other diseases. In all of the SADs pro-tolerogenic bacteria were reduced, while pathobiont genera were increased. Metabolic alterations included two clusters comprised of: (a) members of the acylcarnitine family, positively correlating with a Prevotella-enriched cluster and negatively correlating with a butyrate-producing bacteria-enriched cluster and (b) phospholipids, negatively correlating with butyrate-producing bacteria. These findings demonstrate a strong interaction between intestinal microbiota and metabolic function in patients with SADs.
Databáze:	OpenAIRE
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