Faculty Opinions recommendation of Gene expression differences in skin fibroblasts in identical twins discordant for type 1 diabetes.

Author(s):  
Luigi Gnudi
Diabetes ◽  
2012 ◽  
Vol 61 (3) ◽  
pp. 739-744 ◽  
Author(s):  
M. L. Caramori ◽  
Y. Kim ◽  
J. H. Moore ◽  
S. S. Rich ◽  
J. C. Mychaleckyj ◽  
...  

Diabetes ◽  
2010 ◽  
Vol 59 (7) ◽  
pp. 1751-1755 ◽  
Author(s):  
H. Beyan ◽  
R. C. Drexhage ◽  
L. van der Heul Nieuwenhuijsen ◽  
H. de Wit ◽  
R. C. Padmos ◽  
...  

Diabetes ◽  
2012 ◽  
Vol 61 (5) ◽  
pp. 1281-1290 ◽  
Author(s):  
Katharine M. Irvine ◽  
Patricia Gallego ◽  
Xiaoyu An ◽  
Shannon E. Best ◽  
Gethin Thomas ◽  
...  

2021 ◽  
Author(s):  
Jian Lin ◽  
Yuanhua Lu ◽  
Bizhou Wang ◽  
Ping Jiao ◽  
Jie Ma

Abstract Background Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease caused by severe loss of pancreatic β cells. Immune cells are key mediators of β cell destruction. This study attempted to investigate the role of immune cells and immune-related genes in the occurrence and development of T1DM. Methods The raw gene expression profile of the samples from 12 T1DM patients and 10 normal controls was obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by Limma package in R. The least absolute shrinkage and selection operator (LASSO) - support vector machines (SVM) were used to screen the hub genes. CIBERSORT algorithm was used to identify the different immune cells in distribution between T1DM and normal samples. Correlation of the hub genes and immune cells was analyzed by Spearman, and gene-GO-BP and gene-pathway interaction networks were constructed by Cytoscape plug-in ClueGO. Receiver operating characteristic (ROC) curves were used to assess diagnostic value of genes in T1DM. Results The 50 immune-related DEGs were obtained between the T1DM and normal samples. Then, the 50 immune-related DEGs were further screened to obtain the 5 hub genes. CIBERSORT analysis revealed that the distribution of plasma cells, resting mast cells, resting NK cells and neutrophils had significant difference between T1DM and normal samples. Natural cytotoxicity triggering receptor 3 (NCR3) was significantly related to the activated NK cells, M0 macrophages, monocytes, resting NK cells, and resting memory CD4+ T cells. Moreover, tumor necrosis factor (TNF) was significantly associated with naive B cell and naive CD4+ T cell. NCR3 [Area under curve (AUC) = 0.918] possessed a higher accuracy than TNF (AUC = 0.763) in diagnosis of T1DM. Conclusions The immune-related genes (NCR3 and TNF) and immune cells (NK cells) may play a vital regulatory role in the occurrence and development of T1DM, which possibly provide new ideas and potential targets for the immunotherapy of diabetes mellitus (DM).


2020 ◽  
Vol 45 (1) ◽  
pp. 22-28
Author(s):  
Marta Fichna ◽  
Magdalena Żurawek ◽  
Klaudia Bogusz-Górna ◽  
Piotr Małecki ◽  
Elżbieta Niechciał ◽  
...  

2018 ◽  
Vol 20 (8) ◽  
pp. 1859-1867 ◽  
Author(s):  
Teresa L. Mastracci ◽  
Jean-Valery Turatsinze ◽  
Benita K. Book ◽  
Ivan A. Restrepo ◽  
Michael J. Pugia ◽  
...  

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