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Aprotinin Attenuates Genomic Expression Variability Following Cardiac Surgery

Basel Ramlawi2, Hasan Otu1, Sirisha Emani1, Cesario Bianchi1, Frank W. Sellke1; 1Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA; 2University of Western Ontario, London, ON, Canada


 Comment on this Abstract

Objective: Aprotinin, a commonly used antifibrinolytic agent, was the subject of recent controversy regarding adverse clinical outcomes following cardiac surgery. We compared the role of Aprotinin and ε-aminocaproic acid, on clinical outcomes and the attenuation of the post-cardiopulmonary bypass (CPB) response at the genomic expression and cytokine (protein) level.
Methods: Thirty nine low-risk patients undergoing coronary revascularization (CABG) and/or valve procedures using cardiopulmonary CPB were enrolled into a prospective cohort study. Half-Hammersmith dose Aprotinin (1 x 106 KIU preoperatively) or ε-aminocaproic acid (100 mg/kg load, 5g pump prime and 30 mg/kg/h infusion) was administered to patients. Gene expression was assessed with Affymetrix GeneChip U133 Plus 2.0 (>40,000 genes) from whole blood mRNA samples collected preoperatively (PRE) and 6 hours (6H) postoperatively for fold-change calculation. Differential expression, clustering, gene ontology and canonical pathway analysis was performed. Validation of gene expression was performed with SYBR Green real time PCR. Cytokine values were quantified from serum using high sensitivity immunoassay technique preoperatively and postoperatively at 6h and 4 days (POD4) and analyzed in a blinded fashion using parametric statistics.
Results: Preoperative baseline characteristics were similar in both characteristics with respect to age, sex, re-operative status, type of operation or intraoperative factors (pump time, temperature etc.). Serum inflammatory markers measured did not reveal significant difference between patients receiving Aprotinin (APR) and those receiving ε-aminocaproic acid (Amicar). Compared with PRE samples, 6H samples had 264 up-regulated and 548 down-regulated genes uniquely in the APR group compared to 4826 up-regulated and 1114 down-regulated genes uniquely in the NORM group (p<0.001, Lower confidence bound ≥1.2). Compared to patients in the Amicar group, APR patients had significantly different gene expression pathways involving NF-κbeta regulation, programmed cell death and cell-cell adhesion (table below). None of the patients developed postoperative stroke, myocardial infarction or systemic infections.
Conclusion: APR leads to significantly less genomic expression variability compared to Amicar and has a differential effect on specific genomic pathways.

Differentially Expresed Pathways
GO Pathway No. GO Pathway Description p-value
45012 MHC class II receptor activity <0.000001
43123 positive regulation of NF-kappaB cascade 0.000001
3988 acetyl-CoA C-acyltransferase activity 0.001001
6406 mRNA export from nucleus 0.004039
7259 JAK-STAT cascade 0.007447
12501 Programmed cell death 0.010656
6944 membrane fusion 0.016926
43297 apical junction assembly 0.017328
8080 N-acetyltransferase activity 0.027009
16494 C-X-C chemokine receptor activity 0.028045
6959 Humoral immune response 0.030155
16337 Cell-cell adhesion 0.037522

GO - Gene Ontology

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