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Transcriptomics of type 2 diabetic and healthy human neutrophils

OBJECTIVES: Chronic inflammatory diseases, including diabetes and cardiovascular disease, are heterogeneous and often co-morbid, with increasing global prevalence. Uncontrolled type 2 diabetes (T2D) can result in severe inflammatory complications. As neutrophils are essential to normal and aberrant...

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Autores principales: Kleinstein, Sarah E., McCorrison, Jamison, Ahmed, Alaa, Hasturk, Hatice, Van Dyke, Thomas E., Freire, Marcelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207744/
https://www.ncbi.nlm.nih.gov/pubmed/34134627
http://dx.doi.org/10.1186/s12865-021-00428-6
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author Kleinstein, Sarah E.
McCorrison, Jamison
Ahmed, Alaa
Hasturk, Hatice
Van Dyke, Thomas E.
Freire, Marcelo
author_facet Kleinstein, Sarah E.
McCorrison, Jamison
Ahmed, Alaa
Hasturk, Hatice
Van Dyke, Thomas E.
Freire, Marcelo
author_sort Kleinstein, Sarah E.
collection PubMed
description OBJECTIVES: Chronic inflammatory diseases, including diabetes and cardiovascular disease, are heterogeneous and often co-morbid, with increasing global prevalence. Uncontrolled type 2 diabetes (T2D) can result in severe inflammatory complications. As neutrophils are essential to normal and aberrant inflammation, we conducted RNA-seq transcriptomic analyses to investigate the association between neutrophil gene expression and T2D phenotype. As specialized pro-resolving lipid mediators (SPM) act to resolve inflammation, we further surveyed the impact of neutrophil receptor binding SPM resolvin E1 (RvE1) on isolated diabetic and healthy neutrophils. METHODS: Cell isolation and RNA-seq analysis of neutrophils from N = 11 T2D and N = 7 healthy individuals with available clinical data was conducted. Additionally, cultured neutrophils (N = 3 T2D, N = 3 healthy) were perturbed with increasing RvE1 doses (0 nM, 1 nM, 10 nM, or 100 nM) prior to RNA-seq. Data was evaluated through a bioinformatics pipeline including pathway analysis and post hoc false discovery rate (FDR)-correction. RESULTS: We observed significant differential expression of 50 genes between T2D and healthy neutrophils (p < 0.05), including decreased T2D gene expression in inflammatory- and lipid-related genes SLC9A4, NECTIN2, and PLPP3 (p < 0.003). RvE1 treatment induced dose-dependent differential gene expression (uncorrected p < 0.05) across groups, including 59 healthy and 216 T2D neutrophil genes. Comparing T2D to healthy neutrophils, 1097 genes were differentially expressed across RvE1 doses, including two significant genes, LILRB5 and AKR1C1, involved in inflammation (p < 0.05). CONCLUSIONS: The neutrophil transcriptomic database revealed novel chronic inflammatory- and lipid-related genes that were differentially expressed between T2D cells when compared to controls, and cells responded to RvE1 dose-dependently by gene expression changes. Unraveling the mechanisms regulating abnormalities in diabetic neutrophil responses could lead to better diagnostics and therapeutics targeting inflammation and inflammation resolution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12865-021-00428-6.
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spelling pubmed-82077442021-06-16 Transcriptomics of type 2 diabetic and healthy human neutrophils Kleinstein, Sarah E. McCorrison, Jamison Ahmed, Alaa Hasturk, Hatice Van Dyke, Thomas E. Freire, Marcelo BMC Immunol Research Article OBJECTIVES: Chronic inflammatory diseases, including diabetes and cardiovascular disease, are heterogeneous and often co-morbid, with increasing global prevalence. Uncontrolled type 2 diabetes (T2D) can result in severe inflammatory complications. As neutrophils are essential to normal and aberrant inflammation, we conducted RNA-seq transcriptomic analyses to investigate the association between neutrophil gene expression and T2D phenotype. As specialized pro-resolving lipid mediators (SPM) act to resolve inflammation, we further surveyed the impact of neutrophil receptor binding SPM resolvin E1 (RvE1) on isolated diabetic and healthy neutrophils. METHODS: Cell isolation and RNA-seq analysis of neutrophils from N = 11 T2D and N = 7 healthy individuals with available clinical data was conducted. Additionally, cultured neutrophils (N = 3 T2D, N = 3 healthy) were perturbed with increasing RvE1 doses (0 nM, 1 nM, 10 nM, or 100 nM) prior to RNA-seq. Data was evaluated through a bioinformatics pipeline including pathway analysis and post hoc false discovery rate (FDR)-correction. RESULTS: We observed significant differential expression of 50 genes between T2D and healthy neutrophils (p < 0.05), including decreased T2D gene expression in inflammatory- and lipid-related genes SLC9A4, NECTIN2, and PLPP3 (p < 0.003). RvE1 treatment induced dose-dependent differential gene expression (uncorrected p < 0.05) across groups, including 59 healthy and 216 T2D neutrophil genes. Comparing T2D to healthy neutrophils, 1097 genes were differentially expressed across RvE1 doses, including two significant genes, LILRB5 and AKR1C1, involved in inflammation (p < 0.05). CONCLUSIONS: The neutrophil transcriptomic database revealed novel chronic inflammatory- and lipid-related genes that were differentially expressed between T2D cells when compared to controls, and cells responded to RvE1 dose-dependently by gene expression changes. Unraveling the mechanisms regulating abnormalities in diabetic neutrophil responses could lead to better diagnostics and therapeutics targeting inflammation and inflammation resolution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12865-021-00428-6. BioMed Central 2021-06-16 /pmc/articles/PMC8207744/ /pubmed/34134627 http://dx.doi.org/10.1186/s12865-021-00428-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Kleinstein, Sarah E.
McCorrison, Jamison
Ahmed, Alaa
Hasturk, Hatice
Van Dyke, Thomas E.
Freire, Marcelo
Transcriptomics of type 2 diabetic and healthy human neutrophils
title Transcriptomics of type 2 diabetic and healthy human neutrophils
title_full Transcriptomics of type 2 diabetic and healthy human neutrophils
title_fullStr Transcriptomics of type 2 diabetic and healthy human neutrophils
title_full_unstemmed Transcriptomics of type 2 diabetic and healthy human neutrophils
title_short Transcriptomics of type 2 diabetic and healthy human neutrophils
title_sort transcriptomics of type 2 diabetic and healthy human neutrophils
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207744/
https://www.ncbi.nlm.nih.gov/pubmed/34134627
http://dx.doi.org/10.1186/s12865-021-00428-6
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