Metabolomic profiling in patients undergoing Off-Pump or On-Pump coronary artery bypass surgery
© The Author(s). 2017
Received: 27 January 2017
Accepted: 8 March 2017
Published: 5 April 2017
Coronary artery bypass surgery can be performed without (Off-Pump) or with cardiopulmonary bypass (On-Pump). Extracorporeal circulation and cardioplegic arrest may cause alterations in the plasma metabolome. We assessed metabolomic changes in patients undergoing On-Pump or Off-Pump coronary artery bypass surgery.
We assessed five analyte classes (41 acylcarnitines, 14 amino acids, 92 glycerophospholipids, 15 sphingolipids, sugars, lactate) using a mass-spectrometry-based kit (Biocrates AbsoluteIDQ® p150) in paired arterial and coronary sinus blood obtained from 10 consecutive On-Pump and 10 Off-Pump patients. Cardioplegia for On-Pump was warm blood Calafiore. On-Pump outcomes were corrected for hemodilution through crystalloid priming.
Demographic data were equal in both groups with normal ejection fraction, renal and liver function. Patients received 2.25 ± 0.64 bypass grafts. All postoperative courses were uneventful. Of 164 measured metabolites, only 13 (7.9%) were altered by cardiopulmonary bypass. We found more long-chain acylcarnitines Off-Pump and more short-chain acylcarnitines On-Pump. Glycerophospholipids showed lower concentrations On-Pump and arginine (as the only different amino acid) Off-Pump. Interestingly, plasma arginine (nitric oxide precursor) concentration at the end of surgery correlated inversely with postoperative vasopressor need (r = −0.7; p < 0.001). Assessing arterial/venous differences revealed phosphatidylcholine-production and acylcarnitine-consumption. These findings were unaffected by cardiopulmonary bypass, cardioplegia or temporary vessel occlusion during Off-Pump surgery.
Cardiopulmonary bypass and warm blood cardioplegia cause only minor changes to the metabolomic profile of patients undergoing coronary artery bypass surgery. The observed changes affected mainly acylcarnitines. In addition, there appears to be a relationship between arginine and vasopressor need after bypass surgery.
KeywordsMetabolomics Cardiac surgery Vasopressor
Novel molecular technologies have been applied to assess the impact of metabolic intermediates on outcome in cardiac surgery. Recent studies have shown that specific metabolic profiles may independently predict adverse events after coronary artery bypass grafting (CABG)  or in heart failure patients and after left ventricular assist device (LVAD) implantation . While these investigations addressed the metabolic signatures either before and/or after the surgical procedure, the direct impact of cardiopulmonary bypass surgery has thus far not been addressed. However, cardiopulmonary bypass has been implicated with a plethora of alterations and changes in many systems of the human organism (e.g. inflammatory cascades, coagulation system, individual organ function) . It is therefore well conceivable that the use of cardiopulmonary bypass also results in significant alterations in the metabolomic plasma profile.
CABG without cardiopulmonary bypass (Off-Pump) has been one area, where surgeons have tried to avoid the potentially detrimental effects of cardiopulmonary bypass (On-Pump) . However, the controversial benefits and risks of Off-Pump compared to On-Pump CABG are still a subject of an ongoing discussion [5, 6].
We thus hypothesized that patients undergoing CABG On-Pump and those operated Off-Pump would show substantial differences in their plasma metabolomic profile. We tested our hypothesis in a proof-of-principle type study using targeted metabolomic analysis.
A total of 20 consecutive patients undergoing CABG were included in the study. The first 10 patients were operated Off-Pump and the next 10 with cardioplegic arrest. The institutional ethic review committee approved the study protocol (reference number: 3194-07/11) and all patients provided written informed consent. Inclusion criteria were age between 30 and 80 years, Body Mass Index < 30, left ventricular ejection fraction between 50 and 80% and planned elective, isolated, coronary bypass surgery. End stage liver and renal insufficiency, ongoing infection, immunosuppressive therapy and tumours were exclusion criteria.
Study protocol and sample collection
All patients included in this study received standardized preoperative anaesthetic preparation. The technical approach was similar and in all cases, distal anastomoses were performed before the proximal ones. The patients received insulin infusions as required to attain euglycemia.
In the On-Pump group, immediately after cardiopulmonary bypass was established, a retrograde cardioplegia catheter was inserted in the coronary sinus (CS) and used to gather blood samples. Its correct position was verified manually. Antegrade warm blood cardioplegia was used every 20 min. No retrograde cardioplegia was given, as the retrograde catheter was used only for drawing blood. In both groups, paired arterial and CS blood samples were collected simultaneously at baseline (immediately after CS catheter placement and before aortic cross clamping in the On-Pump group) and immediately after each distal anastomosis was completed. Samples were taken slowly to avoid haemolysis and the first 1 ml was discarded to avoid possible contamination with right atrial blood. They were drawn into EDTA- treated tubes (S-Monovette® EDTA K2 Gel, Saarstedt, Nuembrecht, Germany). All samples were immediately centrifuged at 4 ° C and 5000 rpm for 10 min and plasma aliquots were stored in liquid nitrogen.
We used the obtained samples to perform the following analyses. First, a comparison of arterial blood samples from on- and off pump surgery in order to obtain information on the influence of cardiopulmonary bypass on the plasma metabolome. Second, we compared arterial and coronary sinus blood samples in oder to obtain information on the transcoronary changes in the metabolome with and without cardiopulmonary bypass. Finally, we attempted to assess the influence of regional (off pump) and global ischemia (on pump with cardioplegia) with respect to changes in the plasma metabolome.
Plasma metabolite analyses
Determination of laboratory parameters glucose and lactate was performed using routine diagnostic procedures at an Abbott Architect analyzer (Abbott GmbH, Ludwigshafen, Germany). Glucose was determined with a hexokinase method according to the manufacturer’s recommendations. A colorimetric assay was used for measurement of lactate concentrations.
Metabolite concentrations of five analytic classes (Additional file 1: Table S1) - 41 acylcarnitines, 14 amino acids, 92 glycerophospholipids, 15 sphingolipids and 1 sugar - were measured after preparation of serum according to the manufacturer’s protocol using the AbsoluteIDQ® p150 kit (Biocrates Life Science AG, Innsbruck, Austria) on an API4000™ LC/MS/MS System (AB SCIEX, USA) equipped with an electrospray ionization source, an Agilent G1367B autosampler, and the Analyst 1.51 software (AB SCIEX, USA). In brief, 10 μl of serum was added onto the center kit plate and was dried using a nitrogen evaporator for 30 min. Subsequently, 20 μl of a 5% solution of phenyl-isothiocyanate (Merck) was added. After incubation of 20 min at room temperature, the plate was dried again using an evaporator for 45 min. The metabolites were extracted using 300 μl of a 5 mM ammonium acetate solution in methanol (Merck, Roth). The extracts were obtained after incubation for 30 min on a shaker (450 rpm) by centrifugation at 100 g for 2 min followed by a dilution step with 600 μl of kit MS running solvent. The plate was measured by flow injection analysis and detection of fragments was performed in multiple reaction monitoring mode. Two subsequent 20 μl injections (one for positive and one for negative mode analysis) were injected directly to the MS at a flow of 30 μl/min with MS running solvent. Concentrations for metabolites were determined using the MetIQ™ software package, which is an integral part of the AbsoluteIDQ® kit. These data were exported for following statistical analysis. For analysis only metabolites which appear in at least 50% of the patients were included. Outcomes in the On-Pump group were corrected for hemodilution through crystalloid priming (assessed by the drop in haematocrit). Heatmaps were created with MetaboAnalyst 3.0 software [7, 8]. Data were normalized for each metabolite (autoscaling method, mean-centered and divided by the standard deviation of each variable). A hierarchical clustering in form of a dendrogram for the metabolites using the Pearson distance and the average algorithm was performed.
Statistical analysis was performed via SPSS Statistics 22 (IBM, USA). Normal distribution of the metabolite concentrations was tested. Depending on the outcome either the student-t-test (normal distribution) or the Mann-Whitney-u-test (no normal distribution) was chosen for determination of statistical significance. Pearson correlation was used to investigate the correlation between two variables. Statistical significance was considered for p-values < 0.05.
Demographic and laboratory characteristics of the study population
On-Pump (n = 10)
Off-Pump (n = 10)
67.1 ± 7.53
62.8 ± 3.96
Male sex (%)
27.84 ± 1.95
27.75 ± 2.2
Diabetes mellitus (%)
Left ventricular ejection fraction (%)
59.3 ± 8.43
63.3 ± 8.6
75.3 ± 9.47
78.8 ± 7.05
4.51 ± 6.19
2.22 ± 4.53
0.53 ± 0.1
0.57 ± 0.34
0.73 ± 0.23
0.734 ± 0.4
0.94 ± 0.56
0.67 ± 0.37
4.54 ± 1.07
5.06 ± 1.21
3.02 ± 2.37
2.17 ± 1.45
Preoperative laboratory values and arterial blood gas analyses
On-Pump (n = 10)
Off-Pump (n = 10)
Standard bicarbonate (mmol/l)
25.04 ± 1.06
24.93 ± 1.91
Base excess (mmol/l)
0.55 ± 1.85
0.43 ± 2.18
7.42 ± 0.28
7.41 ± 0.53
5.06 ± 0.18
5.13 ± 0.64
15.77 ± 12.56
10.38 ± 2.3
97.24 ± 1.73
95.7 ± 1.96
8.55 ± 1.13
8.16 ± 1.78
Na + (mmol/l)
137.88 ± 3.25
136.4 ± 3.65
K + (mmol/l)
4.01 ± 0.32
4.03 ± 0.5
Ca 2+ (mmol/l)
1.20 ± 0.2
1.18 ± 0.24
6.35 ± 1.17
6.65 ± 2.31
1.29 ± 0.46
1.29 ± 0.45
Operative characteristics of the study population
On-Pump (n = 10)
Off-Pump (n = 10)
Single bypass (n)
Double bypass (n)
Triple bypass (n)
Bypass, mean (n)
2.3 ± 0.68
2.2 ± 0.63
Cardiopulmonary bypass time (min)
92.7 ± 13.81
Aortic cross clamping time (min.)
57.8 ± 14.05
Operating time (min.)
205.6 ± 13.09
154.2 ± 35.7
We demonstrate in this manuscript that cardiopulmonary bypass and warm blood cardioplegia cause only minor changes to the metabolomic profile of patients undergoing bypass surgery and that acylcarnitines are elevated in both Off-Pump and On-Pump, but chain lengths differ. Furthermore, we demonstrate that there appears to be a correlation between arterial arginine concentration and vasopressor need after bypass surgery.
One would expect that establishing cardiopulmonary bypass leads to major changes in the metabolomic composition of the blood. However, the overall changes we observed were rather minor. Less than 10% of metabolites were altered (Fig. 1). This is striking because investigations addressing the activation of signalling cascades through cardiopulmonary bypass show substantial derangements [9, 10]. For instance, inflammatory processes have been suggested to be activated by the exposure of blood to external surfaces [10, 11]. Since inflammatory cascades directly influence the expression of genes and the function of the cell , it would be no surprise to see measureable changes in metabolites associated with such activations. Some of those genes for example are relevant for the facilitation of glucose transport in tissues with a high glucose demand (Solute carrier family 2, member 3) or gluconeogenesis (Phosphoenolpyruvate carboxykinase 2) . That would mean that we could expect changes in the levels of glucose or the metabolites connected with glycolysis and gluconeogenesis. However, the levels of glucose and lactate were not different between On-Pump and Off-pump in our analysis. Thus, it may be one conclusion that the use of cardiopulmonary bypass is less relevant than the type of surgery (i.e. bypass surgery) or the surgical approach. Irrespective of the magnitude of the overall changes, we still identified several changes in individual metabolite classes that may be relevant for long or short-term outcome and therefore require further discussion.
We demonstrate that patients on cardiopulmonary bypass have significantly elevated levels of short-chain acylcarnitines and lower levels of long-chain acylcarnitines such as C18:1 compared to Off-Pump patients (Fig. 1b). Plasma acylcarnitines are products of incomplete β-oxidation and might be elevated due to inborn or other errors of mitochondrial fatty acid oxidation. Short- and medium-chain acylcarnitines are significantly increased in acute myocardial infarction and chest pain patients whereas the levels of long-chain acylcarnitines such as C18:1 and C18:2 are insignificantly decreased in these patients . Short-chain acylcarnitines are also known to be predictive of myocardial infarction, repeat revascularisation or death at any time following CABG . Applying these data to our results may suggest that On-Pump patients are possibly at higher risk of myocardial infarction, repeat revascularization or death, compared to Off-Pump patients. However, in heart failure patients, long-chain acylcarnitines have been associated with poor long term outcomes . Thus, it appears that chain length may not be the most important part of this association. In addition, these studies assessed the role of acylcarnitines before surgery and/or during follow-up and did not address the changes during surgery as we did. Since current evidence does not support any major differences in long term outcome between On- and Off-Pump CABG, it is unlikely that the observed metabolomic alterations during surgery may have substantial impact.
We also demonstrate a significant correlation between arterial arginine concentration at the end of surgery and postoperative vasopressor needs in the immediately following time period in the intensive care unit (Fig. 4). Off-Pump patients had lower arginine concentrations and required more vasopressor therapy. In contrast, On-Pump patients had higher arginine concentrations but lower vasopressor needs. Arginine is the primary substrate for the synthesis of nitric oxide in the human body. Nitric oxide is produced from arginine through the enzyme nitric oxide synthase, which has three isoforms: endothelial (eNOS), neuronal (nNOS), and inducible (iNOS). Arginine deficiency is suggested to be the result of decreased arginine uptake or an impaired arginine de novo synthesis from citrulline . The latter may appear in combination with an enhanced arginine catabolism by the upregulation of arginase and the inflammatory nitric oxide synthase (iNOS; NOS2) in the immune response . It is also known that activated through the immune response, macrophages actively import arginine to synthesize NO by NOS2 [16, 17]. However, the NOS2 in the macrophages can also be inhibited through interleukins, such as IL-10 [18, 19]. We did not measure IL-10 in this study but this has been done before by others in the past [20–22]. Several authors have shown higher IL-10 levels On-Pump than Off-Pump at the end of surgery and early postoperatively [20–22]. Assuming that same is true in our patients, it is conceivable that IL-10 at the end of the operation inhibits iNOS in On-Pump CABG, resulting in less NO production and decreased arginine catabolism through iNOS. The consequence is higher arginine in plasma and less vascular dilatation requiring less vasopression from noradrenaline. Irrespective of the above described potential mechanism, it is not clear whether arginine is truly involved in the mechanism leading to vasopressor requirements. However, the significant correlation shown in Fig. 4 is striking and requires further investigation because it may reveal new understanding for the postoperative vasopressor management of patients undergoing cardiac surgery On- or Off-Pump.
In conclusion, we demonstrate in this study that cardiopulmonary bypass and warm blood cardioplegia cause only minor changes to the metabolomic profile of patients undergoing bypass surgery and that acylcarnitines are elevated in both Off-Pump and On-Pump cases, but chain lengths differ. Furthermore, we demonstrate that there appears to be a correlation between arterial arginine concentration and vasopressor need after bypass surgery.
The authors wish to thank Benjamin Gloy for editorial assistance.
The study was supported by grants from the DFG to TD (Do602/9-1) and from the German Center for Sepsis Control and Care (CSCC) and the Federal Ministry of Education and Research (BMBF) (grant number: 01 E0 1002).
Availability of data and materials
The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.
HK created with TD the study design, application for approval from the ethic committee, organized the work processes and logistics, enrolled all the patients included in the study; provided written informed consent to all patients, controlled all steps in the study process; analyzed the results and wrote the manuscript with the help of TD. MS helped in analyzing the study results. SN performed the laboratory measurements of the metabolites, did the statistic work, proofreading and correction of the manuscript. GF and MD performed the operative procedures. TD gave the idea, provided financial support, took part in creating the study design, analyzed the study results, took part in writing and correcting the manuscript and provided active support through all parts of the study process. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The Ethic committee of the Friedrich Schiller University Jena approved this study (approval no. 3194-07/11).
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- Shah AA, Craig DM, Sebek JK, Haynes C, Stevens RC, Muehlbauer MJ, Granger CB, Hauser ER, Newby LK, Newgard CB, et al. Metabolic profiles predict adverse events after coronary artery bypass grafting. J Thorac Cardiovasc Surg. 2012;143(4):873–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Ahmad T, Kelly JP, McGarrah RW, Hellkamp AS, Fiuzat M, Testani JM, Wang TS, Verma A, Samsky MD, Donahue MP, et al. Prognostic implications of long-chain acylcarnitines in heart failure and reversibility with mechanical circulatory support. J Am Coll Cardiol. 2016;67(3):291–9.View ArticlePubMedGoogle Scholar
- Murphy GJ, Angelini GD. Side effects of cardiopulmonary bypass: what is the reality? J Card Surg. 2004;19(6):481–8.View ArticlePubMedGoogle Scholar
- Polomsky M, Puskas JD. Off-pump coronary artery bypass grafting--the current state. Circ J. 2012;76(4):784–90.View ArticlePubMedGoogle Scholar
- Lazar HL. Should off-pump coronary artery bypass grafting be abandoned? Circulation. 2013;128(4):406–13.View ArticlePubMedGoogle Scholar
- Doenst T, Struning C, Moschovas A, Gonzalez-Lopez D, Essa Y, Kirov H, Diab M, Faerber G. Cardiac surgery 2015 reviewed. Clin Res Cardiol. 2016;105:801–14.View ArticlePubMedGoogle Scholar
- Xia JG, Sinelnikov IV, Han B, Wishart DS. MetaboAnalyst 3.0-making metabolomics more meaningful. Nucleic Acids Res. 2015;43(W1):W251–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Xia JG, Psychogios N, Young N, Wishart DS. MetaboAnalyst: a web server for metabolomic data analysis and interpretation. Nucleic Acids Res. 2009;37:W652–60.View ArticlePubMedPubMed CentralGoogle Scholar
- Levy JH, Tanaka KA. Inflammatory response to cardiopulmonary bypass. Ann Thorac Surg. 2003;75(2):S715–20.View ArticlePubMedGoogle Scholar
- Kraft F, Schmidt C, Van Aken H, Zarbock A. Inflammatory response and extracorporeal circulation. Best Pract Res Clin Anaesthesiol. 2015;29(2):113–23.View ArticlePubMedGoogle Scholar
- Day JR, Taylor KM. The systemic inflammatory response syndrome and cardiopulmonary bypass. Int J Surg. 2005;3(2):129–40.View ArticlePubMedGoogle Scholar
- Natoli G, Ghisletti S, Barozzi I. The genomic landscapes of inflammation. Genes Dev. 2011;25(2):101–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Ruel M, Bianchi C, Khan TA, Xu S, Liddicoat JR, Voisine P, Araujo E, Lyon H, Kohane IS, Libermann TA, et al. Gene expression profile after cardiopulmonary bypass and cardioplegic arrest. J Thorac Cardiovasc Surg. 2003;126(5):1521–30.View ArticlePubMedGoogle Scholar
- Khan HA, Alhomida AS, Al Madani H, Sobki SH. Carnitine and acylcarnitine profiles in dried blood spots of patients with acute myocardial infarction. Metabolomics. 2013;9(4):828–38.View ArticleGoogle Scholar
- Wijnands KAP, Castermans TMR, Hommen MPJ, Meesters DM, Poeze M. Arginine and citrulline and the immune response in sepsis. Nutrients. 2015;7(3):1426–63.View ArticlePubMedPubMed CentralGoogle Scholar
- Yeramian A, Martin L, Arpa L, Bertran J, Soler C, McLeod C, Modolell M, Palacin M, Lloberas J, Celada A. Macrophages require distinct arginine catabolism and transport systems for proliferation and for activation. Eur J Immunol. 2006;36(6):1516–26.View ArticlePubMedGoogle Scholar
- MacMicking J, Xie QW, Nathan C. Nitric oxide and macrophage function. Annu Rev Immunol. 1997;15:323–50.View ArticlePubMedGoogle Scholar
- Cunha FQ, Moncada S, Liew FY. Interleukin-10 (IL-10) inhibits the induction of nitric oxide synthase by interferon-gamma in murine macrophages. Biochem Biophys Res Commun. 1992;182(3):1155–9.View ArticlePubMedGoogle Scholar
- Huang CJ, Stevens BR, Nielsen RB, Slovin PN, Fang X, Nelson DR, Skimming JW. Interleukin-10 inhibition of nitric oxide biosynthesis involves suppression of CAT-2 transcription. Nitric oxide. 2002;6(1):79–84.View ArticlePubMedGoogle Scholar
- Tomic V, Russwurm S, Moller E, Claus RA, Blaess M, Brunkhorst F, Bruegel M, Bode K, Bloos F, Wippermann J, et al. Transcriptomic and proteomic patterns of systemic inflammation in on-pump and off-pump coronary artery bypass grafting. Circulation. 2005;112(19):2912–20.PubMedGoogle Scholar
- Dybdahl B, Wahba A, Haaverstad R, Kirkeby-Garstad I, Kierulf P, Espevik T, Sundan A. On-pump versus off-pump coronary artery bypass grafting: more heat-shock protein 70 is released after on-pump surgery. Eur J Cardiothorac Surg. 2004;25(6):985–92.View ArticlePubMedGoogle Scholar
- Czerny M, Baumer H, Kilo J, Lassnigg A, Hamwi A, Vikovich T, Wolner E, Grimm M. Inflammatory response and myocardial injury following coronary artery bypass grafting with or without cardiopulmonary bypass. Eur J Cardiothorac Surg. 2000;17(6):737–42.View ArticlePubMedGoogle Scholar