| Literature DB >> 33383630 |
Enrique Almanza-Aguilera1,2,3, Álvaro Hernáez4,5,6, Dolores Corella6,7, Albert Sanllorente1,6, Emilio Ros6,8, Olga Portolés6,7, Julieta Valussi1, Ramon Estruch4,6,8, Oscar Coltell6,9, Isaac Subirana10,11, Silvia Canudas6,12, Cristina Razquin6,13, Gemma Blanchart1, Lara Nonell14, Montserrat Fitó1,6, Olga Castañer1,6.
Abstract
We aimed to explore the differences in the whole transcriptome of peripheral blood mononuclear cells between elderly individuals with and without type 2 diabetes (T2D). We conducted a microarray-based transcriptome analysis of 19 individuals with T2D and 15 without. Differentially expressed genes according to linear models were submitted to the Ingenuity Pathway Analysis system to conduct a functional enrichment analysis. We established that diseases, biological functions, and canonical signaling pathways were significantly associated with T2D patients when their logarithms of Benjamini-Hochberg-adjusted p-value were >1.30 and their absolute z-scores were >2.0 (≥2.0 meant "upregulation" and ≤ -2.0 "downregulation"). Cancer signaling pathways were the most upregulated ones in T2D (z-score = 2.63, -log(p-value) = 32.3; 88.5% (n = 906) of the total differentially expressed genes located in these pathways). In particular, integrin (z-score = 2.52, -log(p-value) = 2.03) and paxillin (z-score = 2.33, -log(p-value) = 1.46) signaling pathways were predicted to be upregulated, whereas the Rho guanosine diphosphate (Rho-GDP) dissociation inhibitor signaling pathway was predicted to be downregulated in T2D individuals (z-score = -2.14, -log(p-value) = 2.41). Our results suggest that, at transcriptional expression level, elderly individuals with T2D present an increased activation of signaling pathways related to neoplastic processes, T-cell activation and migration, and inflammation.Entities:
Keywords: cancer; microarray; signaling pathways; transcriptome; type 2 diabetes
Year: 2020 PMID: 33383630 DOI: 10.3390/jcm10010085
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241