Material dependent differences in inflammatory gene expression by giant cells during the foreign body reaction

2007 ◽  
Vol 83A (3) ◽  
pp. 879-886 ◽  
Author(s):  
D.T. Luttikhuizen ◽  
P.Y.W. Dankers ◽  
M.C. Harmsen ◽  
M.J.A. van Luyn
Keyword(s):  
Gene Expression ◽  
Foreign Body ◽  
Foreign Body Reaction ◽  
Giant Cells ◽  
Inflammatory Gene Expression ◽  
Inflammatory Gene

Dysregulation of inflammatory gene expression in lesional and nonlesional skin of patients with pyoderma gangrenosum

2017 ◽  
Vol 178 (1) ◽  
Author(s):  
A.G. Ortega‐Loayza ◽  
W.H. Nugent ◽  
O.M. Lucero ◽  
S.L. Washington ◽  
J.R. Nunley ◽  
...  
Keyword(s):  
Gene Expression ◽  
Pyoderma Gangrenosum ◽  
Inflammatory Gene Expression ◽  
Inflammatory Gene

scholarly journals Gene Expression Profile in Delay Graft Function: Inflammatory Markers Are Associated with Recipient and Donor Risk Factors

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Diego Guerrieri ◽  
Luis Re ◽  
Jorgelina Petroni ◽  
Nella Ambrosi ◽  
Roxana E. Pilotti ◽  
...  
Keyword(s):  
Gene Expression ◽  
Risk Factors ◽  
Kidney Transplantation ◽  
Inflammatory Markers ◽  
Graft Function ◽  
Deceased Donor ◽  
Specific Pattern ◽  
Inflammatory Gene Expression ◽  
Inflammatory Gene ◽  
Recipient Age

Background.Delayed graft function (DGF) remains an important problem after kidney transplantation and reduced long-term graft survival of the transplanted organ. The aim of the present study was to determine if the development of DGF was associated with a specific pattern of inflammatory gene expression in expanded criteria of deceased donor kidney transplantation. Also, we explored the presence of correlations between DGF risk factors and the profile that was found.Methods.Seven days after kidney transplant, a cDNA microarray was performed on biopsies of graft from patients with and without DGF. Data was confirmed by real-time PCR. Correlations were performed between inflammatory gene expression and clinical risk factors.Results.From a total of 84 genes analyzed, 58 genes were upregulated while only 1 gene was downregulated in patients with DGF compared with no DGF (P=0.01). The most relevant genes fold changes observed was IFNA1, IL-10, IL-1F7, IL-1R1, HMOX-1, and TGF-β. The results were confirmed for IFNA1, IL-1R1, HMOX-1 and TGF-β. A correlation was observed between TGF-β, donor age, and preablation creatinine, but not body mass index (BMI). Also, TGF-βshowed an association with recipient age, while IFNA1 correlated with recipient BMI. Furthermore, TGF-β, IFNA1 and HMOX-1 correlated with several posttransplant kidney function markers, such as diuresis, ultrasound Doppler, and glycemia.Conclusions.Overall, the present study shows that DGF is associated with inflammatory markers, which are correlated with donor and recipient DGF risk factors.

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