Identification of Transcriptomic Differences between Lower Extremities Arterial Disease, Abdominal Aortic Aneurysm and Chronic Venous Disease in Peripheral Blood Mononuclear Cells Specimens

• Published in: International journal of molecular sciences 2021-03, Vol.22 (6), p.3200
• Main Authors: Zalewski, Daniel P, Ruszel, Karol P, Stępniewski, Andrzej, Gałkowski, Dariusz, Bogucki, Jacek, Kołodziej, Przemysław, Szymańska, Jolanta, Płachno, Bartosz J, Zubilewicz, Tomasz, Feldo, Marcin, Kocki, Janusz, Bogucka-Kocka, Anna
• Format: Article
• Language: English
• Subjects: abdominal aortic aneurysm; Aged; Aortic Aneurysm, Abdominal - diagnosis; Aortic Aneurysm, Abdominal - genetics; biomarker; Biomarkers; Case-Control Studies; chronic venous disease; Comorbidity; Computational Biology; Diagnosis, Differential; Female; gene expression; Gene Expression Profiling; Gene Regulatory Networks; High-Throughput Nucleotide Sequencing; Humans; Leukocytes, Mononuclear - metabolism; lower extremities arterial disease; Lower Extremity - blood supply; Lower Extremity - pathology; Male; Middle Aged; next generation sequencing; Peripheral Arterial Disease - diagnosis; Peripheral Arterial Disease - genetics; Risk Factors; Transcriptome; Veins
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms22063200

Several human tissues are investigated in studies of molecular biomarkers associated with diseases development. Special attention is focused on the blood and its components due to combining abundant information about systemic responses to pathological processes as well as high accessibility. In the current study, transcriptome profiles of peripheral blood mononuclear cells (PBMCs) were used to compare differentially expressed genes between patients with lower extremities arterial disease (LEAD), abdominal aortic aneurysm (AAA) and chronic venous disease (CVD). Gene expression patterns were generated using the Ion S5XL next-generation sequencing platform and were analyzed using DESeq2 and UVE-PLS methods implemented in R programming software. In direct pairwise analysis, 21, 58 and 10 differentially expressed genes were selected from the comparison of LEAD vs. AAA, LEAD vs. CVD and AAA vs. CVD patient groups, respectively. Relationships between expression of dysregulated genes and age, body mass index, creatinine levels, hypertension and medication were identified using Spearman rank correlation test and two-sided Mann-Whitney U test. The functional analysis, performed using DAVID website tool, provides potential implications of selected genes in pathological processes underlying diseases studied. Presented research provides new insight into differences of pathogenesis in LEAD, AAA and CVD, and selected genes could be considered as potential candidates for biomarkers useful in diagnosis and differentiation of studied diseases.