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dc.contributor.author
Quesada, Sofía  
dc.contributor.author
Rosso, Ayelen Daiana  
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Mascardi, María Florencia  
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Soler Rivero, Valeria  
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Aguilera, Pablo Nicolas  
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Mascuka, Sebastian Nicolas  
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Boiro, Andrea Laura  
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Arenielo, Evangelina  
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Vijoditz, Gustavo  
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Ferreyra Mufarregue, Leila Romina  
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Caputo, Marina Flavia  
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Cimolai, María Cecilia  
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Coluccio Leskow, Federico  
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Penas Steinhardt, Alberto  
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Belforte, Fiorella Sabrina  
dc.date.available
2024-06-25T10:00:36Z  
dc.date.issued
2024-07  
dc.identifier.citation
Quesada, Sofía; Rosso, Ayelen Daiana; Mascardi, María Florencia; Soler Rivero, Valeria; Aguilera, Pablo Nicolas; et al.; Integrative analysis of systemic lupus erythematosus biomarkers: Role of fecal hsa-mir-223–3p and gut microbiota in transkingdom dynamics; Pergamon-Elsevier Science Ltd; Molecular Immunology; 171; 7-2024; 77-92  
dc.identifier.issn
0161-5890  
dc.identifier.uri
http://hdl.handle.net/11336/238373  
dc.description.abstract
Systemic lupus erythematosus (SLE) involves a florid set of clinical manifestations whose autoreactive origin is characterized by an overactivation of the immune system and the production of a large number of autoantibodies. Because it is a complex pathology with an inflammatory component, its pathogenesis is not yet fully understood, assuming both genetic and environmental predisposing factors. Currently, it is known that the role of the human microbiome is crucial in maintaining the transkingdom balance between commensal microorganisms and the immune system. In the present work we study the intestinal microbiota of Argentine patients with different stages of SLE receiving or not different treatments. Microbiota composition and fecal miRNAs were assessed by 16 S sequencing and qPCR. hsa-miR-223–3p, a miRNA involved in several inflammation regulation pathways, was found underexpressed in SLE patients without immunosuppressive treatment. In terms of microbiota there were clear differences in population structure (Weighted and Unweighted Unifrac distances, p-value <0.05) and core microbiome between cases and controls. In addition, Collinsella, Bifidobacterium, Streptococcus genera and aromatics degradation metabolisms were overrepresented in the SLE group. Medical treatment was also determinant as several microbial metabolic pathways were influenced by immunosuppressive therapy. Particularly, allantoin degradation metabolism was differentially expressed in the group of patients receiving immunosuppressants. Finally, we performed a logistic regression model (LASSO: least absolute shrinkage and selection operator) considering the expression levels of the fecal hsa-miR223–3p; the core microbiota; the differentially abundant bacterial taxa and the differentially abundant metabolic pathways (p<0.05). The model predicted that SLE patients could be associated with greater relative abundance of the formaldehyde oxidation pathway (RUMP_PWY). On the contrary, the preponderance of the ketodeoxyoctonate (Kdo) biosynthesis and activation route (PWY_1269) and the genera Lachnospiraceae_UCG_004, Lachnospira, Victivallis and UCG_003 (genus belonging to the family Oscillospiraceae of the class Clostridia) were associated with a control phenotype. Overall, the present work could contribute to the development of integral diagnostic tools for the comprehensive phenotyping of patients with SLE. In this sense, studying the commensal microbial profile and possible pathobionts associated with SLE in our population proposes more effective and precise strategies to explore possible treatments based on the microbiota of SLE patients.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
lupus  
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microbiota  
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inflamation  
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methabolism  
dc.subject.classification
Bioquímica y Biología Molecular  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Integrative analysis of systemic lupus erythematosus biomarkers: Role of fecal hsa-mir-223–3p and gut microbiota in transkingdom dynamics  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-06-24T10:00:02Z  
dc.journal.volume
171  
dc.journal.pagination
77-92  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Quesada, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina  
dc.description.fil
Fil: Rosso, Ayelen Daiana. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Universidad Nacional de Luján. Instituto de Ecología y Desarrollo Sustentable; Argentina  
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Fil: Mascardi, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Soler Rivero, Valeria. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina  
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Fil: Aguilera, Pablo Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina  
dc.description.fil
Fil: Mascuka, Sebastian Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina  
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Fil: Boiro, Andrea Laura. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina  
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Fil: Arenielo, Evangelina. Hospital Nacional Profesor Alejandro Posadas; Argentina  
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Fil: Vijoditz, Gustavo. Hospital Nacional Profesor Alejandro Posadas; Argentina  
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Fil: Ferreyra Mufarregue, Leila Romina. Hospital Nacional Profesor Alejandro Posadas; Argentina  
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Fil: Caputo, Marina Flavia. Hospital Nacional Profesor Alejandro Posadas; Argentina  
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Fil: Cimolai, María Cecilia. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Coluccio Leskow, Federico. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Penas Steinhardt, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina. Facultad de Medicina ; Instituto Universitario de Ciencias de la Salud - Fundacion H. A Barcelo;  
dc.description.fil
Fil: Belforte, Fiorella Sabrina. Universidad Nacional de Lujan. Departamento de Ciencias Básicas. Laboratorio de Genómica Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Universidad Nacional de Luján. Instituto de Ecología y Desarrollo Sustentable; Argentina  
dc.journal.title
Molecular Immunology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0161589024000956  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.molimm.2024.05.004