Your browser doesn't support javascript.
loading
Integrative analysis of systemic lupus erythematosus biomarkers: Role of fecal hsa-mir-223-3p and gut microbiota in transkingdom dynamics.
Quesada, Sofía; Rosso, Ayelén Daiana; Mascardi, Florencia; Soler-Rivero, Valeria; Aguilera, Pablo; Mascuka, Sebastian Nicolas; Boiro, Andrea; Arenielo, Evangelina; Vijoditz, Gustavo; Ferreyra-Mufarregue, Leila Romina; Caputo, Marina Flavia; Cimolai, María Cecilia; Coluccio Leskow, Federico; Penas-Steinhardt, Alberto; Belforte, Fiorella Sabrina.
Afiliação
  • Quesada S; Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo
  • Rosso AD; Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo
  • Mascardi F; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de Buenos Aires (HIBA), Buenos Aires, Argentina.
  • Soler-Rivero V; Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina.
  • Aguilera P; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina.
  • Mascuka SN; Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina.
  • Boiro A; Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina.
  • Arenielo E; Sección Inmunología, Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina.
  • Vijoditz G; Sección Inmunología, Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina.
  • Ferreyra-Mufarregue LR; Sección Inmunología, Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina.
  • Caputo MF; Sección Inmunología, Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina.
  • Cimolai MC; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina.
  • Coluccio Leskow F; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina.
  • Penas-Steinhardt A; Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo
  • Belforte FS; Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina; Consejo
Mol Immunol ; 171: 77-92, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38795687
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / MicroRNAs / Fezes / Microbioma Gastrointestinal / Lúpus Eritematoso Sistêmico Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / MicroRNAs / Fezes / Microbioma Gastrointestinal / Lúpus Eritematoso Sistêmico Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article