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Antonella Galeone, Giacomina Brunetti, Crescenzia Rotunno, Angela Oranger, Silvia Colucci, Luigi de Luca Tupputi Schinosa, Alberta Zallone, Maria Grano, Domenico Paparella, Activation of the receptor activator of the nuclear factor-κB ligand pathway during coronary bypass surgery: comparison between on- and off-pump coronary artery bypass surgery procedures, European Journal of Cardio-Thoracic Surgery, Volume 44, Issue 2, August 2013, Pages e141–e147, https://doi.org/10.1093/ejcts/ezt244
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Abstract
The receptor activator of the nuclear factor kappa-B (NF-κB) ligand (RANKL), its membrane receptor RANK and its decoy receptor osteoprotegerin (OPG) are all members of the tumour necrosis factor family involved in bone metabolism and immune response. We evaluated the activation of the OPG/RANKL/RANK pathway in patients undergoing cardiac surgery with and without cardiopulmonary bypass (CPB).
Twenty consecutive patients undergoing elective coronary artery surgery were enrolled in the study and assigned either to the on-pump or to the off-pump group. Pre- and postoperative serum levels of OPG and RANKL were evaluated by enzyme-linked immunosorbent assay; gene expression of OPG, RANKL, RANK and NF-κB p50 subunits were determined by real-time polymerase chain reaction in peripheral blood T-cells and monocytes.
Serum levels of OPG significantly increased after surgery in both groups, whereas serum levels of RANKL did not differ over time. T-cells from the on-pump group showed increased gene expression of OPG, RANKL and RANK after the intervention, whereas no mRNA variation for these genes was detected in T-cells from off-pump patients. Gene expression of p50 subunit increased in T-cells and monocytes from both groups.
Cardiac surgery induces the activation of the OPG/RANKL/RANK pathway; both on- and off-pump procedures are associated with increased postoperative OPG serum levels and up-regulation of the NF-κB p50 subunit.
INTRODUCTION
Cardiac surgery with cardiopulmonary bypass (CPB) is associated with a systemic inflammatory response syndrome (SIRS) that may lead to postoperative complications, such as myocardial, pulmonary, neurological, liver and renal dysfunction, as well as postoperative bleeding [1]. Contact of blood components with the artificial surface of the CPB circuit, ischaemia–reperfusion injury, endotoxemia and surgical trauma itself all lead to the activation of the inflammatory, coagulation and fibrinolytic systems [1]. The avoidance of CPB can reduce the inflammatory response [2]; however, some studies suggest that activation of inflammation still occurs in off-pump coronary artery bypass surgery (OPCAB), but is slightly delayed with respect to on-pump bypass [3, 4] and persists several days after surgery [5]. Nuclear factor kappa-B (NF-κB) is a ubiquitous inducible transcription factor involved in the regulation of the transcription of many proinflammatory genes [6]; recently, NF-κB involvement in inflammatory diseases, such as atherosclerosis, unstable angina, heart failure and myocardial ischaemia–reperfusion, has been detected. Its activation during cardiac surgery with CPB has been demonstrated, while its involvement in OPCAB has been undetected [7–9]. The receptor activator of the NF-κB ligand (RANKL), its membrane receptor RANK and its decoy receptor osteoprotegerin (OPG) are all members of the tumour necrosis factor (TNF) family involved in bone metabolism, extracellular matrix regulation and immune response [10]. OPG/RANKL/RANK pathway activation has been detected in inflammatory diseases such as atherosclerosis [11–13]; elevated OPG serum levels are associated with coronary artery disease (CAD) [14, 15] and represent a risk factor for disease progression [16]. In women, elevated OPG serum levels are associated with higher cardiovascular mortality [17]. In patients with unstable angina, T-cells expression of RANKL and monocytes expression of RANK are enhanced and promote matrix metalloproteinase activity in smooth muscle cells (SMCs), leading to plaque destabilization [18]. The role of the OPG/RANKL/RANK pathway in an acute inflammatory state, such as CPB-induced SIRS, has not been established. The aim of this study was to evaluate the activation of NF-κB in on-pump and OPCAB, with the hypothesis being that both surgical techniques should induce some degree of inflammatory cellular reaction. Moreover, the activation of the OPG/RANKL/RANK pathway has been studied for the first time in cardiac surgical patients, considering its linkage with NF-κB.
PATIENTS AND METHODS
Patients
The study was conducted according to the ethical guidelines at our hospital and the Helsinki declaration and was approved by the hospital's authorized representative. After informed consent, 20 consecutive patients requiring elective coronary artery surgery were prospectively enrolled in the study and assigned either to the on-pump or to the off-pump group, based on surgeon preference and clinical judgement. The following exclusion criteria were applied: infections, body temperature >37.5°C, white blood cells count >12 000/µl, current neoplasia, chronic inflammatory or autoimmune disease, corticosteroid and/or immunosuppressive treatment, emergency.
Perioperative management
After premedication with lorazepam, anaesthesia was induced with a combination of fentanyl, midazolam and sodium thiopenthal and maintained with proprofol. Heparin (300 U/kg) was given to achieve systemic anticoagulation in both groups. Intraoperative heparin monitoring was performed by standard activated clotting time (ACT) (HEMOCHRON Jr. ACT+, ITC, Edison, NJ, USA). Additional heparin bolus (5000 U) was given if the activated clotting time was <400 s. Protamine was administered to reverse heparin (1 mg of protamine/100 U of heparin) in both groups. In the on-pump group, CPB was established with a two-stage venous cannula and aortic return. Moderate hypothermia (34°C) was maintained during the operation. Cardiac arrest was induced and maintained with antegrade cold-blood cardioplegia. Cardiotomy suction was used in all patients of the on-pump group. A heart stabilizer (Octopus; Medtronic, Inc., Minneapolis, MN, USA) has been used in all OPCAB, and intracoronary shunts have been used to allow bloodless anastomoses. Cell-saving devices were used in all patients. Prophylactic antibiotics were administered according to institutional protocols. Postoperatively, patients received aspirin (100 mg orally or intravenously) and low molecular-weight heparin (enoxaparin, 4000 anti-Xa IU daily subcutaneously) starting 12 h after the end of the operation in the absence of significant mediastinal bleeding.
Samples
Peripheral blood (PB) samples from the on- and off-pump group patients were collected into Vacutainer® tubes containing 3.8% sodium citrate or gel for serum separation (Becton Dickinson, USA) at four different times before, during and after the operation:
T0: before the beginning of the operation;
T1: 2 h after the end of CPB (on-pump group) or distal anastomoses (off-pump group);
T2: first postoperative day (POD);
T3: sixth POD.
Serum samples were centrifugated for 30 min at 3500 rpm and stored at −80°C until essayed.
Enzyme-linked immunosorbent assay
Serum levels of OPG and RANKL were measured by enzyme-linked immunosorbent assay (ELISA) according to the manufacturer's instructions (Biomedica, GmbH, Wien, Austria); the absorption was determined with an ELISA reader at 450 nm (550 Microplate Reader; Bio-Rad). All ELISA assays were doubled tested, and the mean value was used for analysis.
Cell isolation
T-cells and monocytes were purified from PB mononuclear cells (PBMCs) of the on- and off-pump group patients. First, PBMCs were isolated by centrifugation over Histopaque 1077 density gradient (Sigma Chemical, St Louis, MO, USA) and after diluted at 10 × 106 cells/ml in phosphate buffer saline supplemented with 2% bovine serum albumin (Sigma). The T-cell and monocytes isolation were performed using anti-CD2 antibody or anti-CD14 (Ab)-coated immunomagnetic Dynabeads (Dynal, Lake Success, NY, USA), respectively. In particular, CD2+ or CD14+ cells were captured from the PB buffy coats, incubating appropriate 2 × 107 beads/ml with 10 × 106 cells/ml for 30 min at 4°C on an apparatus that allows both gentle tilting and rotation.
RNA isolation and real-time polymerase chain reaction amplification
T-cells and monocytes were subjected to RNA extraction using spin columns (Rneasy; Qiagen, Hilden, Germany) according to the manufacturer's instructions. RNA (1 µg) was reverse-transcribed, using the Super Script First-Stand Synthesis System kit for real-time polymerase chain reaction (RT-PCR; Invitrogen, Carlsbad, CA, USA) according to the manufacturer's protocol. cDNA was amplified with the iTaq SYBR Green supermix with ROX kit (Bio-Rad Laboratories, Bio-Rad Laboratories, Inc., Hercules, CA, USA), and the PCR amplification was performed using the Chromo4 Real-Time PCR Detection System (Bio-Rad Laboratories, Inc.). The running conditions were: incubation at 95°C for 3 min, and 40 cycles of incubation at 95°C for 15 s and 60°C for 30 s. After the last cycle, the melting curve analysis was performed into 55–95°C interval by incrementing the temperature of 0.5°C. The fold change values were calculated by the Pfaffl method [19]. The sense and antisense primers sequences of OPG, RANKL, RANK, p50 and housekeeping gene cyclophilin are reported in Table 1. Amplification reactions specific for the OPG, RANKL, RANK and p50 were carried out on T-cells, whereas RANK and p50 reactions were performed on CD14+ monocytes.
Gene . | Sense primer . | Antisense primer . |
---|---|---|
RT-hOPG | GACCACTACTACACAGACAG | AAGCAGAACTCTATCTCAAGG |
RT-h-RANKL | ATCACAGCACATCAGAGCAGAG | GGACAGACTCACTTTATGGGAACC |
RT-h-RANK | CAGGATGCTCTCATTGGTCAG | AGAAAGGAGGTGTGGATTTGC |
RT-h-p50 | CTGCAGTTTGATGATGAAGA | GTGCAGAGGAAACGTCAGAA |
RT-h-cyclophilin | CAGGTCCTGGCATCTTGTCC | TTGCTGGTCTTGCCATTCCT |
Gene . | Sense primer . | Antisense primer . |
---|---|---|
RT-hOPG | GACCACTACTACACAGACAG | AAGCAGAACTCTATCTCAAGG |
RT-h-RANKL | ATCACAGCACATCAGAGCAGAG | GGACAGACTCACTTTATGGGAACC |
RT-h-RANK | CAGGATGCTCTCATTGGTCAG | AGAAAGGAGGTGTGGATTTGC |
RT-h-p50 | CTGCAGTTTGATGATGAAGA | GTGCAGAGGAAACGTCAGAA |
RT-h-cyclophilin | CAGGTCCTGGCATCTTGTCC | TTGCTGGTCTTGCCATTCCT |
OPG: osteoprotegerin; RANKL: receptor activator of nuclear factor κB ligand; RANK: receptor activator of nuclear factor κB.
Gene . | Sense primer . | Antisense primer . |
---|---|---|
RT-hOPG | GACCACTACTACACAGACAG | AAGCAGAACTCTATCTCAAGG |
RT-h-RANKL | ATCACAGCACATCAGAGCAGAG | GGACAGACTCACTTTATGGGAACC |
RT-h-RANK | CAGGATGCTCTCATTGGTCAG | AGAAAGGAGGTGTGGATTTGC |
RT-h-p50 | CTGCAGTTTGATGATGAAGA | GTGCAGAGGAAACGTCAGAA |
RT-h-cyclophilin | CAGGTCCTGGCATCTTGTCC | TTGCTGGTCTTGCCATTCCT |
Gene . | Sense primer . | Antisense primer . |
---|---|---|
RT-hOPG | GACCACTACTACACAGACAG | AAGCAGAACTCTATCTCAAGG |
RT-h-RANKL | ATCACAGCACATCAGAGCAGAG | GGACAGACTCACTTTATGGGAACC |
RT-h-RANK | CAGGATGCTCTCATTGGTCAG | AGAAAGGAGGTGTGGATTTGC |
RT-h-p50 | CTGCAGTTTGATGATGAAGA | GTGCAGAGGAAACGTCAGAA |
RT-h-cyclophilin | CAGGTCCTGGCATCTTGTCC | TTGCTGGTCTTGCCATTCCT |
OPG: osteoprotegerin; RANKL: receptor activator of nuclear factor κB ligand; RANK: receptor activator of nuclear factor κB.
Statistical analyses
Data are given as mean values ± standard deviation (SD), and categorical variables as frequencies and percentage. Statistical analyses were performed using two factor repeated-measures analysis of variance (ANOVAs) with one repeated factor (time from T0 to T3) and one grouping factor (on-pump vs off-pump group) with Bonferroni correction for multiple comparisons. After a normality test (Shapiro-Wilk), OPG values were natural log transformed. Because of the skewed distribution, RANKL was compared over time using a Friedman test. Patient's characteristics were compared with a non-parametric Mann–Whitney U-test or Fisher's exact test for frequencies. Because of the exploratory nature of the study, sample size was not formally computed but decided a priori to be 20 patients. The results were considered statistically significant for P-values <0.05. The analyses were made using STATA software, version 12 (StataCorp, College Station, TX, USA).
RESULTS
The characteristics of the on- and off-pump group patients are summarized in Table 2. Age, sex, cardiovascular risk factors, associated diseases and ejection fraction were similar in both groups, and there were no statistically significant differences in the postoperative outcome between groups.
Pre-, intra- and postoperative characteristics of the on- and off-pump group patients
. | On-pump group (N = 10) . | Off-pump group (N = 10) . | P-value . |
---|---|---|---|
Age (years) | 71 ± 9 | 72 ± 7 | >0.99 |
Male | 7 (70%) | 7 (70%) | >0.99 |
BMI (kg/m2) | 29 ± 3 | 28 ± 4 | >0.99 |
Systemic hypertension | 9 (90%) | 9 (90%) | >0.99 |
Diabetes mellitus | 5 (50%) | 8 (80%) | 0.35 |
Hypercholesterolaemia | 3 (30%) | 5 (50%) | 0.65 |
Obesity | 1 (10%) | 2 (20%) | >0.99 |
Smoking history | 1 (10%) | 1 (10%) | >0.99 |
Previous AMI | 3 (30%) | 6 (60%) | 0.37 |
Unstable angina | 1 (10%) | 2 (20%) | >0.99 |
EF (%) | 50 ± 9 | 51 ± 12 | 0.69 |
Chronic AF | 1 (10%) | 1 (10%) | >0.99 |
Previous CVA | 1 (10%) | 1 (10%) | >0.99 |
PVD | 1 (10%) | 3 (30%) | 0.58 |
CRF | 1 (10%) | 3 (30%) | 0.58 |
COPD | 4 (40%) | 3 (30%) | 0.67 |
EuroSCORE | 5.4 ± 1.3 | 6.1 ± 3.2 | 0.95 |
Operation time (h) | 4.4 ± 0.7 | 4.1 ± 0.6 | 0.36 |
CPB (min) | 105.1 ± 25.5 | – | – |
Cross-clamping (min) | 63.3 ± 6.9 | – | – |
Number of distal anastomosis | 3.2 ± 0.8 | 2.7 ± 0.8 | 0.56 |
ICU stay (h) | 38.7 ± 8.2 | 33. ± 2.3 | 0.47 |
Overall stay (days) | 7.7 ± 0.8 | 7.3 ± 1.2 | 0.35 |
Mechanical ventilation (h) | 8.6 ± 5.1 | 8.4 ± 3.1 | 0.74 |
Inotropic drugs | 3 (30%) | 2 (20%) | >0.99 |
IABP | 0 (0%) | 0 (0%) | – |
AF | 2 (20%) | 3 (30%) | >0.99 |
CVA | 0 (0%) | 0 (0%) | – |
ARF | 0 (0%) | 0 (0%) | – |
Mediastinal blood loss (ml) | 310 ± 110 | 395 ± 120 | 0.37 |
Pleural blood loss (ml) | 345 ± 388 | 357 ± 273 | 0.53 |
Re-exploration for bleeding | 0 (0%) | 0 (0%) | – |
RBC transfusions (units) | 1.4 ± 1.4 | 0.7 ± 1.2 | 0.31 |
FFP transfusions (units) | 0.1 ± 0.4 | 0.3 ± 0.9 | 0.96 |
PLT transfusions (units) | 0 (0%) | 0 (0%) | – |
Sepsis | 0 (0%) | 0 (0%) | – |
Mortality | 0 (0%) | 0 (0%) | – |
. | On-pump group (N = 10) . | Off-pump group (N = 10) . | P-value . |
---|---|---|---|
Age (years) | 71 ± 9 | 72 ± 7 | >0.99 |
Male | 7 (70%) | 7 (70%) | >0.99 |
BMI (kg/m2) | 29 ± 3 | 28 ± 4 | >0.99 |
Systemic hypertension | 9 (90%) | 9 (90%) | >0.99 |
Diabetes mellitus | 5 (50%) | 8 (80%) | 0.35 |
Hypercholesterolaemia | 3 (30%) | 5 (50%) | 0.65 |
Obesity | 1 (10%) | 2 (20%) | >0.99 |
Smoking history | 1 (10%) | 1 (10%) | >0.99 |
Previous AMI | 3 (30%) | 6 (60%) | 0.37 |
Unstable angina | 1 (10%) | 2 (20%) | >0.99 |
EF (%) | 50 ± 9 | 51 ± 12 | 0.69 |
Chronic AF | 1 (10%) | 1 (10%) | >0.99 |
Previous CVA | 1 (10%) | 1 (10%) | >0.99 |
PVD | 1 (10%) | 3 (30%) | 0.58 |
CRF | 1 (10%) | 3 (30%) | 0.58 |
COPD | 4 (40%) | 3 (30%) | 0.67 |
EuroSCORE | 5.4 ± 1.3 | 6.1 ± 3.2 | 0.95 |
Operation time (h) | 4.4 ± 0.7 | 4.1 ± 0.6 | 0.36 |
CPB (min) | 105.1 ± 25.5 | – | – |
Cross-clamping (min) | 63.3 ± 6.9 | – | – |
Number of distal anastomosis | 3.2 ± 0.8 | 2.7 ± 0.8 | 0.56 |
ICU stay (h) | 38.7 ± 8.2 | 33. ± 2.3 | 0.47 |
Overall stay (days) | 7.7 ± 0.8 | 7.3 ± 1.2 | 0.35 |
Mechanical ventilation (h) | 8.6 ± 5.1 | 8.4 ± 3.1 | 0.74 |
Inotropic drugs | 3 (30%) | 2 (20%) | >0.99 |
IABP | 0 (0%) | 0 (0%) | – |
AF | 2 (20%) | 3 (30%) | >0.99 |
CVA | 0 (0%) | 0 (0%) | – |
ARF | 0 (0%) | 0 (0%) | – |
Mediastinal blood loss (ml) | 310 ± 110 | 395 ± 120 | 0.37 |
Pleural blood loss (ml) | 345 ± 388 | 357 ± 273 | 0.53 |
Re-exploration for bleeding | 0 (0%) | 0 (0%) | – |
RBC transfusions (units) | 1.4 ± 1.4 | 0.7 ± 1.2 | 0.31 |
FFP transfusions (units) | 0.1 ± 0.4 | 0.3 ± 0.9 | 0.96 |
PLT transfusions (units) | 0 (0%) | 0 (0%) | – |
Sepsis | 0 (0%) | 0 (0%) | – |
Mortality | 0 (0%) | 0 (0%) | – |
BMI: body mass index; AMI: acute myocardial infarction; EF: ejection fraction; AF: atrial fibrillation; CVA: cerebro-vascular accident; PVD: peripheral vascular disease; CRF: chronic renal failure; COPD: chronic obstructive pulmonary disease; CPB: cardiopulmonary bypass; ICU: intensive care unit; IABP: intra-aortic balloon pump; ARF: acute renal failure; RBC: red blood cell; FFP: fresh frozen plasma: PLT: platelets.
Pre-, intra- and postoperative characteristics of the on- and off-pump group patients
. | On-pump group (N = 10) . | Off-pump group (N = 10) . | P-value . |
---|---|---|---|
Age (years) | 71 ± 9 | 72 ± 7 | >0.99 |
Male | 7 (70%) | 7 (70%) | >0.99 |
BMI (kg/m2) | 29 ± 3 | 28 ± 4 | >0.99 |
Systemic hypertension | 9 (90%) | 9 (90%) | >0.99 |
Diabetes mellitus | 5 (50%) | 8 (80%) | 0.35 |
Hypercholesterolaemia | 3 (30%) | 5 (50%) | 0.65 |
Obesity | 1 (10%) | 2 (20%) | >0.99 |
Smoking history | 1 (10%) | 1 (10%) | >0.99 |
Previous AMI | 3 (30%) | 6 (60%) | 0.37 |
Unstable angina | 1 (10%) | 2 (20%) | >0.99 |
EF (%) | 50 ± 9 | 51 ± 12 | 0.69 |
Chronic AF | 1 (10%) | 1 (10%) | >0.99 |
Previous CVA | 1 (10%) | 1 (10%) | >0.99 |
PVD | 1 (10%) | 3 (30%) | 0.58 |
CRF | 1 (10%) | 3 (30%) | 0.58 |
COPD | 4 (40%) | 3 (30%) | 0.67 |
EuroSCORE | 5.4 ± 1.3 | 6.1 ± 3.2 | 0.95 |
Operation time (h) | 4.4 ± 0.7 | 4.1 ± 0.6 | 0.36 |
CPB (min) | 105.1 ± 25.5 | – | – |
Cross-clamping (min) | 63.3 ± 6.9 | – | – |
Number of distal anastomosis | 3.2 ± 0.8 | 2.7 ± 0.8 | 0.56 |
ICU stay (h) | 38.7 ± 8.2 | 33. ± 2.3 | 0.47 |
Overall stay (days) | 7.7 ± 0.8 | 7.3 ± 1.2 | 0.35 |
Mechanical ventilation (h) | 8.6 ± 5.1 | 8.4 ± 3.1 | 0.74 |
Inotropic drugs | 3 (30%) | 2 (20%) | >0.99 |
IABP | 0 (0%) | 0 (0%) | – |
AF | 2 (20%) | 3 (30%) | >0.99 |
CVA | 0 (0%) | 0 (0%) | – |
ARF | 0 (0%) | 0 (0%) | – |
Mediastinal blood loss (ml) | 310 ± 110 | 395 ± 120 | 0.37 |
Pleural blood loss (ml) | 345 ± 388 | 357 ± 273 | 0.53 |
Re-exploration for bleeding | 0 (0%) | 0 (0%) | – |
RBC transfusions (units) | 1.4 ± 1.4 | 0.7 ± 1.2 | 0.31 |
FFP transfusions (units) | 0.1 ± 0.4 | 0.3 ± 0.9 | 0.96 |
PLT transfusions (units) | 0 (0%) | 0 (0%) | – |
Sepsis | 0 (0%) | 0 (0%) | – |
Mortality | 0 (0%) | 0 (0%) | – |
. | On-pump group (N = 10) . | Off-pump group (N = 10) . | P-value . |
---|---|---|---|
Age (years) | 71 ± 9 | 72 ± 7 | >0.99 |
Male | 7 (70%) | 7 (70%) | >0.99 |
BMI (kg/m2) | 29 ± 3 | 28 ± 4 | >0.99 |
Systemic hypertension | 9 (90%) | 9 (90%) | >0.99 |
Diabetes mellitus | 5 (50%) | 8 (80%) | 0.35 |
Hypercholesterolaemia | 3 (30%) | 5 (50%) | 0.65 |
Obesity | 1 (10%) | 2 (20%) | >0.99 |
Smoking history | 1 (10%) | 1 (10%) | >0.99 |
Previous AMI | 3 (30%) | 6 (60%) | 0.37 |
Unstable angina | 1 (10%) | 2 (20%) | >0.99 |
EF (%) | 50 ± 9 | 51 ± 12 | 0.69 |
Chronic AF | 1 (10%) | 1 (10%) | >0.99 |
Previous CVA | 1 (10%) | 1 (10%) | >0.99 |
PVD | 1 (10%) | 3 (30%) | 0.58 |
CRF | 1 (10%) | 3 (30%) | 0.58 |
COPD | 4 (40%) | 3 (30%) | 0.67 |
EuroSCORE | 5.4 ± 1.3 | 6.1 ± 3.2 | 0.95 |
Operation time (h) | 4.4 ± 0.7 | 4.1 ± 0.6 | 0.36 |
CPB (min) | 105.1 ± 25.5 | – | – |
Cross-clamping (min) | 63.3 ± 6.9 | – | – |
Number of distal anastomosis | 3.2 ± 0.8 | 2.7 ± 0.8 | 0.56 |
ICU stay (h) | 38.7 ± 8.2 | 33. ± 2.3 | 0.47 |
Overall stay (days) | 7.7 ± 0.8 | 7.3 ± 1.2 | 0.35 |
Mechanical ventilation (h) | 8.6 ± 5.1 | 8.4 ± 3.1 | 0.74 |
Inotropic drugs | 3 (30%) | 2 (20%) | >0.99 |
IABP | 0 (0%) | 0 (0%) | – |
AF | 2 (20%) | 3 (30%) | >0.99 |
CVA | 0 (0%) | 0 (0%) | – |
ARF | 0 (0%) | 0 (0%) | – |
Mediastinal blood loss (ml) | 310 ± 110 | 395 ± 120 | 0.37 |
Pleural blood loss (ml) | 345 ± 388 | 357 ± 273 | 0.53 |
Re-exploration for bleeding | 0 (0%) | 0 (0%) | – |
RBC transfusions (units) | 1.4 ± 1.4 | 0.7 ± 1.2 | 0.31 |
FFP transfusions (units) | 0.1 ± 0.4 | 0.3 ± 0.9 | 0.96 |
PLT transfusions (units) | 0 (0%) | 0 (0%) | – |
Sepsis | 0 (0%) | 0 (0%) | – |
Mortality | 0 (0%) | 0 (0%) | – |
BMI: body mass index; AMI: acute myocardial infarction; EF: ejection fraction; AF: atrial fibrillation; CVA: cerebro-vascular accident; PVD: peripheral vascular disease; CRF: chronic renal failure; COPD: chronic obstructive pulmonary disease; CPB: cardiopulmonary bypass; ICU: intensive care unit; IABP: intra-aortic balloon pump; ARF: acute renal failure; RBC: red blood cell; FFP: fresh frozen plasma: PLT: platelets.
OPG and RANKL serum levels
The trends over time of serum levels of OPG and RANKL in the on- and off-pump groups are illustrated in Figs 1 and 2. At ANOVA of OPG values, no overall difference was detected according to the study group (P = 0.51). A significant effect of time (P < 0.0001) and an interaction between group and time (P = 0.008) were observed. Baseline serum levels of OPG were 7.60 ± 3.08 pmol/l (range 3.57–13.28 pmol/l) in the on-pump group and 8.14 ± 5.88 pmol/l (range 3.31–17.42 pmol/l) in the off-pump group. At T1, serum levels of OPG were significantly higher compared with baseline in the on-pump group (13.92 ± 3.53 pmol/l; P < 0.0001); conversely in the off-pump group, serum levels of OPG start to rise but were not significantly higher compared with baseline (10.07 ± 8.00 pmol/l). At T2, serum levels of OPG reached the peak in both groups (on-pump group: 15.16 ± 5.41 pmol/l, P < 0.0001 compared with T0; off-pump group: 13.01 ± 7.09 pmol/l, P < 0.0001 compared with T0). At T3, serum levels of OPG declined in both groups, but were still significantly higher compared with baseline only in the off-pump group (on-pump group: 10.71 ± 5.67 pmol/l, P = 0.26 compared with T0; off-pump group: 11.90 ± 7.56 pmol/l, P = 0.018 compared with T0). There were no statistically significant differences in OPG serum levels between the on- and off-pump groups at each sample time with the exception of T1, which showed values significantly lower in the off- than in the on-pump group (P < 0.0001). Serum levels of RANKL did not differ over time in both groups.
Serum levels of OPG in patients from the on- and off-pump groups; values are expressed as mean ± SD; *P < 0.05 vs T0.
Serum levels of RANKL in patients from the on- and off-pump groups; values are expressed as mean ± SD.
OPG/RANKL/RANK expression by T-cells
OPG/RANKL/RANK gene expression was studied by RT-PCR in T-cells isolated from the on- and the off-pump group patients at all above-mentioned sample times. T-cells from the on-pump group showed increased gene expression of OPG, RANKL and RANK after the intervention, whereas no mRNA variation for these genes was detected in T-cells from off-pump patients at T1, T2 and T3 (Fig. 3A–C). In particular, OPG mRNA levels resulted up-regulated in the on-pump group at T1, T2 and T3 respect to T0 (fold change 1.76, 1.81 and 1.85, respectively), although the difference was not statistically significant. Similarly, RANKL mRNA levels increased postoperatively in T-cells from the on-pump group at T1, T2 and T3 respect to T0 (fold change 1.62, 2.57 and 2.05, respectively), even if the difference was not statistically significant. Moreover, RANK expression was up-regulated at T1, T2 and T3 (fold increase 1.62, 1.96 and 1.43, respectively) in T-cells from the on-pump group without reaching a statistical significance.
Gene expression of OPG (A), RANKL (B), RANK (C) and NF-κB p50 subunit (D) in T-cells and of RANK (E) and NF-κB p50 subunit (F) in monocytes from the on- and off-pump groups; mRNA levels were quantified using RT-PCR, and data are presented relative to the gene expression of cyclophilin (mean ± SEM).
RANK expression by monocytes
RANK gene expression was also evaluated by RT-PCR in CD14+ monocytes isolated from the on- and the off-pump groups. In particular, in CD14+ monocytes from the on-pump group, the increase in RANK expression was stronger than that observed in T-cells with an early peak at T1 (fold increase 2.6), even if it was not statistically significant compared with T0 (Fig. 3E); RANK mRNA levels continued to be up-regulated at T2 (fold increase 2.23). Interestingly, the expression of RANK also resulted up-regulated in CD14+monocytes isolated from off-pump group patients at T1 (fold change 2.15), even if it was not statistically significant.
NF-κB p50 subunit expression
We studied by RT-PCR, the expression of p50 subunits in T-cells and CD14+ monocytes isolated from the on- and the off-pump groups. The expression of p50 subunits increased in T-cells and CD14+monocytes isolated from both groups without reaching a statistical significance and with a different pattern (Fig. 3D and F). In particular, in the on-pump group T-cells, p50 mRNA levels reached the peak at T1 (fold change 3.09), while in CD14+monocytes p50 expression increased at T2 and T3 (fold change 2.39 and 2.62, respectively); it was thus later with respect to T-cells. In the off-pump group, p50 increase reached the peak at T2 in both T-cells and CD14+monocytes (fold change 3.82 and 2.75, respectively).
DISCUSSION
Our study first demonstrates that cardiac surgery is associated with the activation of the OPG/RANKL/RANK pathway. Both on- and off-pump procedures are associated with a significant increase in OPG serum levels in the postoperative period. We found similar baseline serum levels of OPG in the two groups, so one can speculate that the postoperative increase was mainly due to the intervention; additionally, the surgical technique influenced the pattern of release of OPG. In the on-pump group, we observed a prompt and statistically significant increase in serum levels of OPG at T1, whereas in the off-pump group, the increase in serum levels of OPG was statistically significant later at T2. Serum levels of OPG reached the peak in both groups at T2 and were still significantly elevated at T3, compared with T0 only in the off-pump group. It has been well established that cardiac surgery with CPB induces an acute systemic inflammatory response characterized by the activation of the coagulation, fibrinolytic, kallikrein and complement cascades resulting in possible postoperative morbidity [1]. However, our data showed that both surgical techniques are associated with the activation of the OPG/RANKL/RANK system, as we found no statistically significant differences in OPG serum levels between on- and off-pump groups at each sample time with the exception of T1. The inflammatory response in the off-pump, compared with the on-pump procedures, is delayed because of the lack of CPB and aortic cross-clamping, which represent potent inflammatory stimuli. The difference in the release pattern of inflammatory cytokines between on- and off-pump procedures has already been described by previous reports, which found that inflammation in OPCAB is slightly delayed compared with the on-pump procedure [3, 4] and persists several days after surgery [5]. The OPG/RANKL/RANK pathway was initially described in the context of bone mass regulation [20]. Now, its prominent role not only in bone metabolism, but also in cardiovascular disease, is emerging. The activation of the OPG/RANKL/RANK pathway has already been described in several acute and chronic inflammatory diseases. In patients with unstable angina, higher expressions of RANKL in T-cells and of RANK in monocytes have been reported in comparison with stable angina [18]. Clinical studies have observed higher circulating OPG levels in patients with unstable angina and with acute myocardial infarction (AMI), but not in those with stable angina or stable CAD [18, 21, 22]. Experimental studies report the activation of the OPG/RANKL/RANK system in acute inflammatory diseases and reveal a potential protective role of RANKL [23]. In this study, we demonstrated that the OPG/RANKL/RANK pathway can be acutely activated by an inflammatory stimulus such as cardiac surgery, either earlier as in the on-pump procedure or later as in the OPCAB procedure. We analysed the gene expression of OPG, RANKL and RANK in T-cells and CD14+monocytes in order to find the source of the increased serum levels of OPG. We found that T-cells from patients undergoing coronary surgery with CPB, but not from those undergoing OPCAB, showed increased gene expression of OPG and RANKL. Additionally, we found that the up-regulation of RANKL in T-cells was associated with that of RANK in both T-cells and CD14+monocytes. We think that T-cells are less activated in off-pump, compared with on-pump, patients because of the lack of CPB and aortic cross-clamping; additionally, OPG is expressed by several cells other than T-cells, essentially endothelial cells (ECs), and the latter could be responsible for the increased OPG serum levels in off-pump patients. OPG is expressed in the vascular system, including ECs and vascular SMCs, and is modulated in these cells by proinflammatory cytokines, such as interleukin (IL)-1 and TNF-α. Within ECs, OPG is associated with the von Willebrand factor in secretory granules called Weibel-Palade bodies [24]. Upon stimulation with TNF-α or IL-1β in vitro, the OPG–von Willebrand factor complex is secreted into the surrounding growth medium. This complex is also noted in human serum, indicating ECs activation by proinflammatory cytokines as one of the possible sources of circulating OPG in patients with active atherosclerosis. These cells are probably activated following coronary surgery and may contribute to the increase in serum levels of OPG in the acute phase in both on- and off-pump procedures. Conversely, serum levels of RANKL were unchanged over time in both groups compared with baseline.
The main transcription factor activated by the RANKL–RANK interaction is NF-κB, which is also clearly one of the most important regulators of proinflammatory gene expression; synthesis of cytokines such as TNF-α, IL-1β, IL-6 and IL-8 as well as adhesion molecules such as E-selectin, VCAM-1 and ICAM-1 is mediated by NF-κB [2]. The most abundant form of NF-κB is a p50/p65 heterodimer in which p65 contains the transcriptional activation domain. NF-κB activation has been previously demonstrated only in myocardial biopsies from patients undergoing coronary surgery with CPB [9] and never in those receiving off-pump procedures. We found a relevant up-regulation in the expression of NF-κB p50 subunit in T-cells from patients undergoing both on- and off- procedures; in particular, we showed that the up-regulation of the T-cells gene expression of NF-κB p50 subunit reached a peak at T1 in the on-pump group and at T2 in the off-pump group. This further demonstrates that cardiac surgery induces the activation of the inflammatory system that appears earlier in the on-pump group likely because CPB represents a potent stimulus to the activation of the inflammatory system and later in the OPCAB group, confirming our initial hypothesis.
It is well established that surgical trauma is a potent activator of the inflammatory system. Proinflammatory cytokines are elevated following major surgery, and the degree of activation increases with the intensity of surgical insult [25]. The inflammatory response and the resultant stress response are significantly attenuated when surgical exposure is reduced during laparoscopy compared with open major abdominal surgery [26]. Our study suggests that surgical trauma is mainly responsible for the activation of the inflammatory system during cardiac surgery, independently of the surgical technique; however, in off-pump procedures the inflammatory response is delayed compared with on-pump because of the lack of CPB and aortic cross-clamping.
Limitations of the study are mainly represented by the small sample size. This is a small study demonstrating the activation of the OPG/RANKL/RANK pathway after coronary surgery. Currently, no data exist regarding its involvement in any end-organ morbidity following cardiac surgery; larger studies are needed to evaluate the involvement of the OPG/RANKL/RANK pathway in the inflammatory response and postoperative morbidity of patients undergoing cardiac surgery. Moreover, this study has been conducted on patients affected by coronary atherosclerosis, which is known to be associated with the activation of the OPG/RANKL/RANK pathway. Future studies conducted on patients undergoing valvular surgery (i.e. degenerative mitral insufficiency) could better clarify the role of the pathway in the postoperative inflammatory response in the absence of atherosclerosis.
CONCLUSIONS
Our study demonstrates that cardiac surgery induces the activation of the OPG/RANKL/RANK pathway as suggested by the increased postoperative OPG serum levels in both on- and off-pump procedures and is associated with an increased expression of the NF-κB p50 subunit. Larger studies are needed to better evaluate the involvement of the OPG/RANKL/RANK pathway in the postoperative morbidity of patients undergoing cardiac surgery.
Conflict of interest: none declared.
REFERENCES
Author notes
These authors contributed equally to the work.
- polymerase chain reaction
- coronary artery bypass surgery
- cardiopulmonary bypass
- tumor necrosis factors
- cardiac surgery procedures
- gene expression
- enzyme-linked immunosorbent assay
- immune response
- genes
- objective (goal)
- ligands
- monocytes
- rna, messenger
- surgical procedures, operative
- t-lymphocytes
- up-regulation (physiology)
- surgery specialty
- transcriptional activation
- membrane receptor
- off-pump coronary artery bypass
- operative procedures on coronary arteries
- bone metabolism
- tumor necrosis factor receptor 11b
- rank
- trance protein