Gene expression profile in delay graft function: inflammatory markers are associated with recipient and donor risk factors

Autor: Luis Re, D. Casadei, Roxana Pilotti, Jorgelina Petroni, Diego Guerrieri, Claudio Incardona, Nella Ambrosi, Héctor E. Chuluyan
Rok vydání: 2013
Předmět:
Male
Microarray
Biopsy
Gastroenterology
Body Mass Index
chemistry.chemical_compound
Risk Factors
Renal Insufficiency
Kidney transplantation
DGF
Oligonucleotide Array Sequence Analysis
medicine.diagnostic_test
purl.org/becyt/ford/3.1 [https]
Middle Aged
Tissue Donors
Up-Regulation
Medicina Básica
Real-time polymerase chain reaction
purl.org/becyt/ford/3 [https]
Female
lcsh:RB1-214
Research Article
kidney transplant
Adult
medicine.medical_specialty
CIENCIAS MÉDICAS Y DE LA SALUD
DNA
Complementary
Article Subject
education
Immunology
Inmunología
Renal function
Delayed Graft Function
Biology
Real-Time Polymerase Chain Reaction
behavioral disciplines and activities
Internal medicine
medicine
lcsh:Pathology
Humans
Aged
Inflammation
Creatinine
Gene Expression Profiling
Cell Biology
medicine.disease
Kidney Transplantation
Gene expression profiling
Transplantation
chemistry
gene expression
Zdroj: Mediators of Inflammation
Mediators of Inflammation, Vol 2014 (2014)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
ISSN: 1466-1861
Popis: 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-β showed 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. Fil: Guerrieri, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Centro de Estudios Farmacológicos y Botánicos; Argentina. Universidad de Buenos Aires. Facultad de Medicina; Argentina Fil: Re, Luis. Instituto de Nefrologia de Buenos Aires; Argentina Fil: Petroni, Jorgelina. Instituto de Nefrologia de Buenos Aires; Argentina Fil: Ambrosi, Nella Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Centro de Estudios Farmacológicos y Botánicos; Argentina. Universidad de Buenos Aires. Facultad de Medicina; Argentina Fil: Pilotti, Roxana E.. Instituto de Nefrologia de Buenos Aires; Argentina Fil: Chuluyan, Hector Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Centro de Estudios Farmacológicos y Botánicos; Argentina. Universidad de Buenos Aires. Facultad de Medicina; Argentina Fil: Casadei, Domingo. Instituto de Nefrologia de Buenos Aires; Argentina Fil: Incardona, Claudio. Gador; Argentina
Databáze: OpenAIRE
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