Unveiling the hidden impact: metabolomic changes in children undergoing VSD repair
Cardiology Treatment Center, Jiangxi Provincial Children’s Hospital, 1666 Diezihu Road, Honggutan District, Nanchang, 330104 Jiangxi China
JXHC Key Laboratory of Children’s Cardiovascular Diseases, Jiangxi Provincial Children’s Hospital, Nanchang, 330104 Jiangxi China
Jiangxi Medical College, Nanchang University, Nanchang, 330006 Jiangxi China
Abstract
Background
We analyzed the perioperative metabolomic alterations in children undergoing ventricular septal defect (VSD) repair under cardiopulmonary bypass (CPB), identified evidence of postoperative injury, and explored strategies to mitigate such injuries.
Methods
We conducted an untargeted metabolomic analysis of serum at three distinct time points (preoperative (Tp), immediate postoperative (T0), and 24 h postoperative (T24)) in eight children undergoing VSD repair under CPB. Subsequently, we identified the key enzymes associated with perioperative injury for molecular docking prediction studies.
Results
We identified 623 metabolites in serum samples with VIP scores exceeding 1 in all three groups; 37 of these metabolites exhibited significant differences throughout the study phases. Three metabolic pathways—glycerophospholipid metabolism, arginine and proline metabolism, and retrograde endogenous cannabinoid signaling recurred in various comparisons between the two groups. Molecular docking predictions confirmed that arginine-glycine amidinotransferase may possess binding sites for bosentan and AdipoRon.
Conclusion
The perioperative metabolic profiles in children undergoing VSD repair under CPB were significantly altered, presumably because of the inflammatory response and endothelial cell dysfunction induced by CPB. Molecular docking predictions suggested that bosentan and AdipoRon may be potent compounds that influence perioperative damage.
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Keywords: Ventricular septal defect, Cardiopulmonary bypass, Metabolomics, Molecular docking
Article notes
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Received 2024 Feb 7; Accepted 2025 Aug 19; Collection date 2025.
Introduction
Ventricular septal defect (VSD) stands out as the most prevalent congenital heart disease, constituting approximately 40% of all cardiac anomalies [1]. Complications arising from VSD include pulmonary hypertension, Eisenmenger syndrome, and heart failure [2]. The widely adopted surgical approach for VSD repair involves direct visualization with cardiopulmonary bypass (CPB) through a chest incision. Although CPB provides surgeons with adequate visual field exposure, it induces a severe systemic inflammatory cascade and endothelial cell dysfunction [3]. Despite these well-acknowledged challenges, there has been a lack of early intervention strategies in clinical practice to address postoperative pathophysiological changes following CPB. Treatment protocols are typically instituted only after the manifestation of postoperative complications. Therefore, gaining a comprehensive understanding of the pathways underlying pathophysiological changes in children undergoing CPB is imperative. Such knowledge will aid in predicting and targeting interventions during the perioperative period, ultimately improving the prognosis for these children.
Metabolomics, the analysis of small-molecule metabolites in body fluids, cells, and tissues, facilitates the detection of subtle changes in biological pathways. It serves as a powerful tool for biomarker discovery, shedding light on disease pathogenesis [4]. In a preliminary untargeted study, Davidson et al. [5] observed significant changes in the postoperative metabolic profiles of children undergoing CPB by analyzing targeted metabolites in their serum. Aspartate, glutamate, methyl nicotinamide, trigonelline, and kynurenine emerged as potential differentiators between critically ill patients after CPB and those with a less severe disease course. Wu et al. [6] conducted an experimental animal study using tissues from various organs of fetal sheep undergoing CPB. Their untargeted metabolomic analysis revealed substantial metabolic changes, particularly altered amino acid metabolism, dysregulation of lipid metabolism, and accumulation of plasticizer metabolites. This study also highlighted significant alterations in cardiac function. In summary, metabolic profile changes can serve as indicators of injury throughout the perioperative period of CPB, warranting further investigation to identify novel therapeutic targets.
This study aimed to conduct an untargeted metabolomic analysis of the serum of children undergoing surgical repair with CPB and to map the metabolic profile to identify alterations before and after surgery. In addition, this study aimed to predict the perioperative period and implement targeted interventions to enhance the outcomes of these children.
Materials and methods
Participants
The study included pediatric patients diagnosed with VSD who underwent repair under CPB at Jiangxi Provincial Children’s Hospital between April 12 and May 12, 2023. In addition, all of the children had no special dietary or pharmacological treatment during the perioperative period of the study period. Exclusion criteria were defined as follows: (1) broken clinical data, (2) presence of organic cardiac changes other than patent foramen ovale, (3) concomitant organ or systemic diseases, (4) concomitant endocrine-genetic metabolic disorders, (5) concomitant hereditary disorders, and (6) previous surgery. Informed consent was obtained from all parents or guardians of participating children. The consent process followed the guidelines of the Medical Ethics Committee of Jiangxi Provincial Children’s Hospital (approval Code: JXSETYY-YXKY-20230086).
Sample collection
Serum samples were obtained from all patients at three distinct time points: preoperatively, immediately postoperatively, and 24 h postoperatively. Within 2 h of serum collection, the samples were subjected to centrifugation at 4 °C. The separated serum was then dispensed into RNAase-depleted cryopreservation tubes and promptly submerged in liquid nitrogen at −196 °C for a minimum of 15 min. Subsequently, the samples were shifted to a refrigerator at −80 °C for long-term storage. Concurrently, pertinent clinical data were gathered from the patients both before and 24 h after surgery.
Molecular docking
The molecular affinity between the small-molecule compounds and proteins was validated through molecular docking. The protein crystal structures were sourced from the RCSB Protein Data Bank (PDB) (https://www.rcsb.org/), whereas the 3D molecular structures of the compounds were retrieved from the ZINC database (https://zinc.docking.org/). Molecular docking simulations were conducted using AutoDock [7], and only the target proteins documented with ligands in the PDB were chosen for analysis. To ensure the reliability of the docking model, a redocking process was used for validation.
Statistical analysis
The results are all presented as mean ± standard deviation (SD). Data analysis and graphics are produced with the R toolkit. Furthermore, the patients’ clinical and metabolomic data were statistically analyzed for differences between the two groups using paired t-tests, and multiple comparisons were made using one-way analysis of variance (ANOVA). P < 0.05 was accepted as statistically significant.
Results
Analysis of clinical data
After identifying the study participants and collecting their clinical data, we analyzed the data (Table 1) and observed a significant decrease in erythrocyte counts, hemoglobin content, and erythrocyte ratio in blood counts. This finding may indicate the destruction and loss of blood cells due to CPB. Concurrently, the data revealed a notable increase in inflammatory markers, including C-reactive protein level, neutrophil percentage, white blood cell count, and procalcitonin level. These results confirm a severe systemic inflammatory response to CPB. Substantial postoperative elevations in urea and indicators for evaluating myocardial function were also observed. These effects are consistent with the adverse outcomes associated with CPB.
| Pairs | Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval of the Difference | t | df | Sig. (2-tailed) | ||
|---|---|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||||
| Pair 1 | RBC - RBC’ | 0.91000 | 0.55621 | 0.19665 | 0.44500 | 1.37500 | 4.627 | 7 | 0.002 |
| Pair 2 | WBC - WBC’ | −5.62500 | 2.86000 | 1.01116 | −8.01602 | −3.23398 | −5.563 | 7 | 0.001 |
| Pair 3 | PLT - PLT’ | 77.75000 | 73.25640 | 25.90005 | 16.50612 | 138.99388 | 3.002 | 7 | 0.020 |
| Pair 4 | Hb - Hb’ | 20.62500 | 16.52649 | 5.84300 | 6.80851 | 34.44149 | 3.530 | 7 | 0.010 |
| Pair 5 | N - N’ | −41.73750 | 19.76425 | 6.98772 | −58.26083 | −25.21417 | −5.973 | 7 | 0.001 |
| Pair 6 | L - L’ | 39.41250 | 17.47214 | 6.17733 | 24.80543 | 54.01957 | 6.380 | 7 | 0.000 |
| Pair 7 | M - M’ | −1.06750 | 3.86832 | 1.36766 | −4.30149 | 2.16649 | − 0.781 | 7 | 0.461 |
| Pair 8 | PCV - PCV’ | 7.15000 | 5.14087 | 1.81757 | 2.85212 | 11.44788 | 3.934 | 7 | 0.006 |
| Pair 9 | PCT - PCT’ | 0.06875 | 0.07511 | 0.02655 | 0.00596 | 0.13154 | 2.589 | 7 | 0.036 |
| Pair 10 | TBIL - TBIL’ | −4.30000 | 8.51201 | 3.00945 | −11.41622 | 2.81622 | −1.429 | 7 | 0.196 |
| Pair 11 | DBIL - DBIL’ | − 0.68000 | 1.26341 | 0.44668 | −1.73624 | 0.37624 | −1.522 | 7 | 0.172 |
| Pair 12 | IBIL - IBIL’ | −3.62000 | 7.31212 | 2.58522 | −9.73308 | 2.49308 | −1.400 | 7 | 0.204 |
| Pair 13 | LDH - LDH’ | −182.75000 | 123.04255 | 43.50211 | −285.61614 | −79.88386 | −4.201 | 7 | 0.004 |
| Pair 14 | UR - UR’ | −2.48500 | 2.13224 | 0.75386 | −4.26760 | − 0.70240 | −3.296 | 7 | 0.013 |
| Pair 15 | CR - CR’ | 1.65000 | 9.79344 | 3.46250 | −6.53752 | 9.83752 | 0.477 | 7 | 0.648 |
| Pair 16 | Tn1 - Tn1’ | − 0.01750 | 0.18053 | 0.06383 | − 0.16843 | 0.13343 | − 0.274 | 7 | 0.792 |
| Pair 17 | CK - CK’ | −1015.31250 | 591.75462 | 209.21685 | −1510.03175 | −520.59325 | −4.853 | 7 | 0.002 |
| Pair 18 | CK-MB - CK-MB’ | −12.70000 | 13.01735 | 4.60233 | −23.58278 | −1.81722 | −2.759 | 7 | 0.028 |
| Pair 19 | NT-proBNP - NT-proBNP’ | −2294.50000 | 3019.00784 | 1509.50392 | −7098.41517 | 2509.41517 | −1.520 | 3 | 0.226 |
| Pair 21 | CRP - CRP’ | −23.60125 | 8.89018 | 3.14315 | −31.03363 | −16.16887 | −7.509 | 7 | 0.000 |
Molecular Docking of the small molecule compounds Bosentan and adiporon with arginine-glycine amidinotransferase
To explore deeper into this investigation, we observed a significant elevation in creatinine levels and creatine by analyzing the differential metabolites within the arginine and proline metabolic pathways. Consequently, we propose that the arginine-glycine amidinotransferase in this pathway serves as a pivotal enzyme relevant to our study. We performed molecular docking studies involving bosentan, an endothelin receptor antagonist commonly used clinically to reduce pulmonary hypertension, and AdipoRon [8], a lipocalin receptor 1 and 2 agonist identified through a PEBMED database search as potentially linked to the modulation of CPB-induced inflammation and cardiac dysfunction. These studies were conducted with arginine-glycine amidinotransferase using AutoDock software to predict the presence of a binding site. Molecular docking results, wherein lower docking energies indicate greater binding capacity, demonstrated potential binding sites for both bosentan and AdipoRon with arginine-glycine amidinotransferase (Fig. 4), with energies below − 5.0 kcal/mol suggesting the possibility of binding. Consequently, our findings indicate that bosentan and AdipoRon have the potential to bind to arginine-glycine amidinotransferase, influencing post-CPB injury changes.
Discussion
To the best of our knowledge, there has been a limited exploration of metabolomic analyses in children undergoing surgical repair of VSD under CPB. In a study by Davidson et al. [5], the perioperative metabolism of 165 children undergoing cardiac surgery was analyzed. The most significant changes in amino acid metabolism, such as arginine and proline metabolism, were found in children during the perioperative period of CPB. This finding follows the results of our study. Of these, aspartate, glutamate, nicotinamide methyl ester, tritiated alkaloids, and kynurenine were identified as useful in determining the postoperative prognosis of the children. Meanwhile, Wu et al. [6] observed significant changes in both lipid metabolism and amino acid metabolism by studying metabolic changes in fetal sheep undergoing CPB, a finding that is also mentioned in our study.
Our study represents the first comprehensive examination of metabolomic changes in serum samples from children with VSD during the perioperative correction of defects under CPB using molecular docking techniques. In our patient analysis, we observed significant alterations in 623 metabolites at different time points (Tp, T0, and T24). Subsequent KEGG enrichment analysis revealed three recurrent metabolic pathways—glycerophospholipid metabolism, arginine and proline metabolism, and retrograde endogenous cannabinoid signaling—in various comparisons between the two groups. These findings suggest that the perioperative metabolic profile changes in children undergoing surgical repair of VSD under CPB predominantly involve lipid and amino acid metabolism. Alterations in lipid metabolism concurrently affect the digestive, immune, and nervous systems. These changes within metabolic pathways may play a crucial role in the perioperative pathophysiological processes of children undergoing surgical repair of VSD under CPB.
Glycerophospholipids (GPL) are crucial components of cell membranes and their metabolism produces various bioactive lipid molecules, including inositol triphosphate, diacylglycerol, arachidonic acid, phosphatidic acid, and lysophosphatidic acid. These molecules regulate diverse signaling pathways within cells [9]. Substantial evidence supports the notion that glycerophospholipid metabolism plays a pivotal role in systemic immunity and low-grade inflammatory states, thereby implicating GPL as a potential mediator of inflammation [10, 11].
At the systemic level, the metabolism of arginine and proline ultimately yields various biochemically diverse products including proline, glutamate, creatine, urea, polyamines, nitric oxide, etc. Arginine plays a pivotal role in the urea cycle and has immunomodulatory and anti-inflammatory properties [10]. Other members of the urea cycle, such as ornithine and citrulline, are negatively associated with inflammation [11]. In contrast, arginine serves as a precursor of NO synthesis. NO functions as a crucial modulator of vascular endothelial dysfunction by influencing vasodilation and platelet aggregation and inhibiting smooth muscle proliferation [12]. While our findings suggest a potential defect in NO production through L-arginine, reduced NO production in endothelial cells and elevated levels of reactive oxygen species contribute to the decreased resistance of endothelial cells to neutrophil-induced cytotoxicity [13].
The endogenous cannabinoid system (ECS) is a lipid signaling system comprising endogenous cannabinoid-like ligands derived from arachidonic acid, including anandamide (AEA) and 2-arachidonoylglycerol (2-AG) [14]. The enrichment of retrograde endogenous cannabinoid signaling observed in our study may be attributable to alterations in perioperative lipid metabolism in children undergoing surgical repair of VSD under CPB. Alternatively, perioperative fasting can potentially modulate retrograde endogenous cannabinoid signaling.
Following our metabolomic analysis, we identified an arginine-glycine amidinotransferase from the arginine and proline metabolic pathways as a crucial focus for further investigation. In children undergoing surgical repair of VSD under CPB, bosentan and AdipoRon were found to modulate perioperative metabolic changes by binding to arginine-glycine amidinotransferase, thereby influencing perioperative injury.
Endothelin-1 (ET-1) is a potent vasoconstrictor that plays key roles in mediating cell proliferation, fibrosis, and inflammation [15]. Activation of endothelin receptor A induces pulmonary vasoconstriction and smooth muscle cell proliferation, whereas endothelin receptor B eliminates ET-1, mediating endothelial cell vasodilation, and release of prostacyclin and nitric oxide. Bosentan, an endothelin receptor antagonist, competitively inhibits ET-1 expression, and reduces pulmonary vascular resistance [16]. Previous studies in rats demonstrated that bosentan lowers blood pressure, prevents cardiac hypertrophy, and exhibits anti-inflammatory and antithrombotic effects [17]. Our identification of the binding site of bosentan on arginine-glycine amidinotransferase provides valuable insights into its potential mechanism of action.
Lipocalin is secreted by adipose tissue and binds to the lipocalin receptor, exerting its antidiabetic effects in the liver and skeletal muscle by activating the AMP-activated protein kinase (AMPK) and peroxisome proliferator-activated receptor (PPAR) alpha pathways. It ameliorates vascular dysfunction by activating endothelial NO production and exhibits anti-atherosclerotic effects on the vasculature by inhibiting various inflammatory conditions [18, 19]. It was shown in a recent animal study by Jenke et al. [8] that AdipoRon, a lipocalin receptor agonist, can attenuate CPB-induced cardiac impairment and inflammation. This attenuation occurred through AMPK-mediated inhibition of proinflammatory TLR4 and TNF-α signaling. In addition, the immunosuppressive IL-10 is upregulated in cardiac cells. These findings are consistent with those of the present study.
However, this study is subject to certain limitations. First, the sample size was restricted to eight patients, warranting the inclusion of a larger cohort for metabolomic analysis to enhance the robustness of the study. Second, the absence of fundamental experiments to assess the activity and expression of key enzymes within the metabolic pathway may have influenced the reliability of our findings. Meanwhile, to control the variables we selected children with VSD for the study, so the generalisability of the results needs to be further explored. In addition, it is crucial to acknowledge that the molecular docking results hold only a predictive value, necessitating supplementary experiments for further validation. However, drug applicability and potential adverse effects require further investigation.
Conclusion
Significant differences were observed in the perioperative metabolic profiles of children undergoing surgical repair of VSD under CPB. Moreover, based on the distinct metabolite enrichments, three metabolic pathways—glycerophospholipid metabolism, arginine and proline metabolism, and retrograde endogenous cannabinoid signaling—recurred in both groups. These pathways may be associated with perioperative injuries in children undergoing CPB. Bosentan and AdipoRon have been identified as potential modulators of perioperative metabolic alterations in children with surgically repaired VSD under CPB, acting by binding to arginine-glycine amidinotransferase, a key enzyme in the arginine and proline metabolic pathways. Despite the limitations of our study, we plan to conduct further research to mitigate perioperative injuries in patients undergoing CPB.
Acknowledgements
This work was supported by the Jiangxi Provincial Natural Science Funds of China (grant number 20202BABL206011) and the Science Program of Health Commission of Jiangxi Province (grant number 202410441). We are grateful to Gene Denovo Biotechnology Co., Ltd. (Guangzhou, China) for assisting in the metabolite and bioinformatics analyses. We also thank colleagues from our biobank, for considerable help.
Funding
This work was supported by the Jiangxi Provincial Natural Science Funds of China (grant number 20202BABL206011) and the Science Program of Health Commission of Jiangxi Province (grant number 202410441).
Data availability
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
The study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki (Revised in 2013). The study was approved by the Medical Ethics Committee of Jiangxi Provincial Children’s Hospital (approval Code: JXSETYY-YXKY-20230086). Informed consent was obtained from all parents or guardians of participating children. All methods were carried out in accordance with relevant guidelines and regulations.
Consent for publication
Informed consent was obtained from the patient’s parents and/or legal guardians for the publication of identifying information/images in online open access publications.
Competing interests
The authors declare no competing interests.
Footnotes
Footnote Group
Contributor Information
Junkai Duan, Email: yeduanjk@163.com.
Hongqiang Tu, Email: 1119881236@qq.com.
References
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Associated Data
Data Availability Statement
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.