Your browser doesn't support javascript.
loading
miRNA Regulatory Networks Associated with Peripheral Vascular Diseases.
Zalewski, Daniel P; Ruszel, Karol P; Stepniewski, Andrzej; Galkowski, Dariusz; Feldo, Marcin; Kocki, Janusz; Bogucka-Kocka, Anna.
  • Zalewski DP; Chair and Department of Biology and Genetics, Medical University of Lublin, 4a Chodzki St., 20-093 Lublin, Poland.
  • Ruszel KP; Department of Clinical Genetics, Chair of Medical Genetics, Medical University of Lublin, 11 Radziwillowska St., 20-080 Lublin, Poland.
  • Stepniewski A; Ecotech Complex Analytical and Programme Centre for Advanced Environmentally Friendly Technologies, University of Marie Curie-Sklodowska, 39 Gleboka St., 20-612 Lublin, Poland.
  • Galkowski D; Department of Pathology and Laboratory Medicine, Rutgers-Robert Wood Johnson Medical School, One Robert Wood Johnson Place, New Brunswick, NJ 08903-0019, USA.
  • Feldo M; Chair and Department of Vascular Surgery and Angiology, Medical University of Lublin, 11 Staszica St., 20-081 Lublin, Poland.
  • Kocki J; Department of Clinical Genetics, Chair of Medical Genetics, Medical University of Lublin, 11 Radziwillowska St., 20-080 Lublin, Poland.
  • Bogucka-Kocka A; Chair and Department of Biology and Genetics, Medical University of Lublin, 4a Chodzki St., 20-093 Lublin, Poland.
J Clin Med ; 11(12)2022 Jun 16.
Article en En | MEDLINE | ID: mdl-35743538
ABSTRACT
A growing body of evidence indicates a crucial role of miRNA regulatory function in a variety of mechanisms that contribute to the development of diseases. In our previous work, alterations in miRNA expression levels and targeted genes were shown in peripheral blood mononuclear cells (PBMCs) from patients with lower extremity artery disease (LEAD), abdominal aortic aneurysm (AAA), and chronic venous disease (CVD) in comparison with healthy controls. In this paper, previously obtained miRNA expression profiles were compared between the LEAD, AAA, and CVD groups to find either similarities or differences within the studied diseases. Differentially expressed miRNAs were identified using the DESeq2 method implemented in the R programming software. Pairwise comparisons (LEAD vs. AAA, LEAD vs. CVD, and AAA vs. CVD) were performed and revealed 10, 8, and 17 differentially expressed miRNA transcripts, respectively. The functional analysis of the obtained miRNAs was conducted using the miRNet 2.0 online tool and disclosed associations with inflammation and cellular differentiation, motility, and death. The miRNet 2.0 tool was also used to identify regulatory interactions between dysregulated miRNAs and target genes in patients with LEAD, AAA, and CVD. The presented research provides new information about similarities and differences in the miRNA-dependent regulatory mechanisms involved in the pathogenesis of LEAD, AAA, and CVD.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article