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Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus

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 ac...

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Autores principales: Almanza-Aguilera, Enrique, Hernáez, Álvaro, Corella, Dolores, Sanllorente, Albert, Ros, Emilio, Portolés, Olga, Valussi, Julieta, Estruch, Ramon, Coltell, Oscar, Subirana, Isaac, Canudas, Silvia, Razquin, Cristina, Blanchart, Gemma, Nonell, Lara, Fitó, Montserrat, Castañer, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795776/
https://www.ncbi.nlm.nih.gov/pubmed/33383630
http://dx.doi.org/10.3390/jcm10010085
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author Almanza-Aguilera, Enrique
Hernáez, Álvaro
Corella, Dolores
Sanllorente, Albert
Ros, Emilio
Portolés, Olga
Valussi, Julieta
Estruch, Ramon
Coltell, Oscar
Subirana, Isaac
Canudas, Silvia
Razquin, Cristina
Blanchart, Gemma
Nonell, Lara
Fitó, Montserrat
Castañer, Olga
author_facet Almanza-Aguilera, Enrique
Hernáez, Álvaro
Corella, Dolores
Sanllorente, Albert
Ros, Emilio
Portolés, Olga
Valussi, Julieta
Estruch, Ramon
Coltell, Oscar
Subirana, Isaac
Canudas, Silvia
Razquin, Cristina
Blanchart, Gemma
Nonell, Lara
Fitó, Montserrat
Castañer, Olga
author_sort Almanza-Aguilera, Enrique
collection PubMed
description 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.
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spelling pubmed-77957762021-01-10 Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus Almanza-Aguilera, Enrique Hernáez, Álvaro Corella, Dolores Sanllorente, Albert Ros, Emilio Portolés, Olga Valussi, Julieta Estruch, Ramon Coltell, Oscar Subirana, Isaac Canudas, Silvia Razquin, Cristina Blanchart, Gemma Nonell, Lara Fitó, Montserrat Castañer, Olga J Clin Med Article 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. MDPI 2020-12-29 /pmc/articles/PMC7795776/ /pubmed/33383630 http://dx.doi.org/10.3390/jcm10010085 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Almanza-Aguilera, Enrique
Hernáez, Álvaro
Corella, Dolores
Sanllorente, Albert
Ros, Emilio
Portolés, Olga
Valussi, Julieta
Estruch, Ramon
Coltell, Oscar
Subirana, Isaac
Canudas, Silvia
Razquin, Cristina
Blanchart, Gemma
Nonell, Lara
Fitó, Montserrat
Castañer, Olga
Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus
title Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus
title_full Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus
title_fullStr Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus
title_full_unstemmed Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus
title_short Cancer Signaling Transcriptome Is Upregulated in Type 2 Diabetes Mellitus
title_sort cancer signaling transcriptome is upregulated in type 2 diabetes mellitus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795776/
https://www.ncbi.nlm.nih.gov/pubmed/33383630
http://dx.doi.org/10.3390/jcm10010085
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