Abstract
The cause of structural valve deterioration (SVD) is unclear. Therefore, we investigated oxidative stress markers in sera from patients with bioprosthetic heart valves (BHVs) and their association with SVD. Blood samples were taken from SVD (Phase A) and BHV patients during the first 24 (Phase B1) and >48 months (Phase B2) after BHV implantation to assess total antioxidant capacity (TAC), malondialdehyde (MDA), and nitrotyrosine (NT). The results show that MDA levels increased significantly 1 month after surgery in all groups but were higher at 6 months only in incipient SVD patients. NT levels increased gradually for the first 24 months after implantation in the BHV group. Patients with transcatheter aortic valve implantation (TAVI) showed even higher levels of stress markers. After >48 months, MDA and NT continued to increase in BHV patients with a further elevation after 60–72 months; however, these levels were significantly lower in the incipient and established SVD groups. In conclusion, oxidative stress may play a significant role in SVD, increasing early after BHV implantation, especially in TAVI cases, and also after 48 months’ follow-up, but decreasing when SVD develops. Oxidative stress potentially represents a target of therapeutic intervention and a biomarker of BHV dysfunction.
Keywords: oxidative stress, aortic valve, biological heart valves, transcatheter aortic valve implantation, structural valve deterioration, protein nitration, lipid peroxidation
1. Introduction
Aortic valve replacement (AVR) is the standard therapy for significant aortic valve stenosis, representing the second most frequent cardiac operation after coronary artery bypass surgery. Furthermore, it is expected that the number of procedures will increase over the coming years because of the aging population and the rapid expansion of transcatheter aortic valve implantation (TAVI).
Two types of prosthetic valves are used for AVR, mechanical (MHV) and biological (BHV) heart valves, presenting both advantages and disadvantages [1]. While MHVs require lifelong patient anticoagulation with a higher risk of thromboembolisms or bleeding, BHVs have a better hemodynamic profile and do not require permanent anticoagulation. Therefore, compared with MHVs, BHVs are increasingly used. However, BHVs may undergo irreversible dysfunction known as structural valve deterioration (SVD). SVD increases over time and is more accelerated in young people who have a greater likelihood of reoperation, which carries a twofold increase in the risk of death [2]. Nevertheless, BHV may be a reasonable choice in patients above 50 years old [3]. Owing to the finite lifespan of BHVs and the rapid increase in people requiring aortic valve replacement, SVD remains the major concern regarding improving the clinical outcomes of these patients and reducing the significant burden on healthcare systems.
SVD is an intrinsic irreversible dysfunction of the prosthetic valve leaflets and/or supporting structures, but different definitions have been reported [4]. Recently, SVD has been classified into different stages (0 to 3) based on the degree of damage of the implanted prosthesis rather than on the patient’s clinical status [5]. For the present study, performed before the latest standardized definition, SVD was defined using the echocardiographic criteria previously used by our group [6].
SVD is usually the result of calcification of the valve cusps (intrinsic mineralization) and, less frequently, the result of degradation of the connective tissue matrix. However, the mechanisms of SVD remain unclear, although mechanical stress [7], inflammation [8], and an immune response to xenoantigens in BHVs [9,10] have been proposed to nonexclusively contribute as the initial triggers. The absence of anticalcification treatment [6,11,12] or the presence of prosthesis–patient mismatch [11] may lead to calcification of the leaflets and to SVD, and the wide use of glutaraldehyde as a fixative of the BHV leaflets does not prevent SVD. Furthermore, current valve processing does not eliminate valve immunogenicity, as suggested by the substantial amounts of galactose α1,3-galactose (αGal) [13] and N-glycolylneuraminic acid (Neu5Gc) [14] residues in BHVs even after glutaraldehyde fixation and by the swine major histocompatibility antigens (SLA-II) expressed in porcine valves after glutaraldehyde fixation [15]. The role of the immune response in SVD has been investigated and recently reported by us [10] in a European multicenter study (TransLink project).
Radical oxygen species (ROS) may also play a role in SVD, as suggested by the free radical species observed in native calcified aortic valves and BHVs [16,17,18]. Oxidative stress, caused by an imbalance between the production and degradation of ROS, is involved in many pathological processes, such as inflammation, ischemia/reperfusion, and infection, and may lead to the development of several pathological conditions [19]. Oxidative modifications of BHV leaflets, consistent with the formation of dityrosine collagen cross-links, oxidative modifications of amino acids, loss of glutaraldehyde cross-links, and collagen damage, have been identified in SVD [20,21]. ROS seem to play a central role as mediators of damage independent of the potential triggers for SVD (i.e., mechanical stress, inflammation/immune response) and, therefore, could be targets for diagnosis and prevention. Hence, the aim of this study was to investigate the presence of oxidative stress markers, namely, malondialdehyde (MDA), a reliable indicator of lipid peroxidation widely used in clinical studies, and nitrotyrosine (NT), an indirect marker of peroxynitrite, and the total antioxidant capacity (TAC) in patients with implanted BHVs with and without SVD who participated in the TransLink multicenter study (clinical trial number: NCT02023970).
2. Patients and Methods
2.1. Study Population
Patients diagnosed with SVD following implantation together with patients presenting with aortic valve disease in whom replacement with a BHV was indicated and those with an implanted BHV with >48 months of follow-up were invited to participate in the European collaborative project “Defining the role of xeno-directed and autoimmune events in patients receiving animal-derived bioprosthetic heart valves” (FP7/2007–2013; Grant Agreement 603049). In addition, patients undergoing aortic valve replacement with an MHV and those with coronary artery bypass graft (CABG) surgery were recruited to serve as controls (see protocol below). Patients who underwent these two operations with >48 months of follow-up also served as controls. The demographic data and the patients’ clinical characteristics were recorded.
The inclusion criteria were as follows: (i) age between 18 and 85 years at the time of surgery, (ii) AVR with a BHV or MHV with or without CABG surgery and TAVI with a BHV, and (iii) isolated CABG surgery. Patients were excluded from the study if they had previous cardiac surgery or presented severe renal failure (glomerular filtration rate (GFR) ≤ 30 mL/min/1.73 m2), severe dyslipidemia (total cholesterol > 350 mg/dL, triglycerides > 750 mg/dL), current cancer, or ongoing major infection.
2.2. Study Protocol
As shown in Figure 1a, the longitudinal study protocol featured two phases: (i) Phase A, or “diagnostic approach”, comprised patients exhibiting SVD (Cohort A), and (ii) Phase B, or “prospective approach”, included two cohorts, a Cohort B1, comprising de novo BHV recipients to characterize the kinetics of oxidative stress during the first 2 years after BHV implantation, and a Cohort B2, comprising a different set of patients with >48 months of BHV implantation to study the long-term oxidative stress response. This dual approach was required to cover the long period of time that in some cases may take SVD to develop so that the occurrence of the phenomenon could be studied within the time frame of 4.5 years that lasted the European project TransLink that funded this clinical trial. In both phases, patients with CABG surgery performed under cardiopulmonary bypass and MHV replacement served as controls.
2.3. Procurement of Samples and Informed Consent
Blood samples were taken at different time points: Phase A—at the time of SVD diagnosis; Phase B1—before surgery and 1, 6, 12, and 24 months after surgery; and Phase B2—at the time of recruitment (>48 months after surgery) and 12–24 months later (>60–72 months after surgery). In all these cases, serum samples were obtained and stored at −80 °C until used for analyses. The patients in the CABG and MHV groups in Phase B1 were sampled at the same time points as those in the BHV group, and in Phase B2, a single blood sample was taken at the time of recruitment >48 months after surgery. Figure 1b shows the number of participants in the study from whom informed consent was obtained (PR314/2013). The research was performed in accordance with the principles outlined in the Declaration of Helsinki.
2.4. Echocardiographic Assessment and Definition of Structural Valve Disease (SVD)
The patients were monitored with echocardiography at different time points throughout the studies, and the interpretations were carried out and analyzed by experienced investigators (T.L.T., A.R., A.E., and L.B.) on commercial ultrasound systems (GE Vivid series, Waukesha, WI, USA; or Philipps, Andover, MA, USA) and stored (ImageVault and EchoPAC software, GE Medical Systems, Horten, Norway) in a centralized CoreLab (Nantes, France). As previously defined by us [6], SVD was diagnosed when one or more of the following features were present in the echocardiogram: (i) mean aortic prosthesis (MAP) gradient ≥ 30 mmHg, (ii) prosthesis effective orifice area ≤ 1 cm2 that worsened over time, or (iii) intraprosthesis aortic regurgitation ≥ 2/4. Endocarditis, perivalvular leakage, and pannus overgrowth were not considered SVD. During follow-up, early or incipient SVD was defined according to current recommendations [4,5] as an incremental (Δ) MAP gradient ≥ 10 mmHg. Patients in Group B2 who developed SVD during follow-up were kept in Group B2.
2.5. Assessment of Total Antioxidant Capacity (TAC)
The measurement of TAC was used because it is more informative than measuring the levels of specific natural antioxidants. The TAC was determined using the OxiSelect™ TAC Assay Kit (Cell Biolabs, San Diego, CA, USA) according to the manufacturer’s instructions. The assay is based on the reduction of copper from Cu2+ to Cu+. Briefly, samples and standards were diluted with a reaction reagent, and upon the addition of copper, the reaction proceeded for just a few minutes. The TAC was determined by comparing the reduction of copper to the reducing activity of uric acid standards, and the results were then expressed as mM.
2.6. Assessment of Malondialdehyde (MDA)
The MDA level was determined by adding 25 µL BHT 0.5%, 2.5 µL EDTA 0.14 mM, 50 µL TCA 40%, and 200 µL TBA 0.67% to 50 µL of sample and heating at 100 °C for 10 min. Then, glacial acid and chloroform were added to the sample, and the light emission was measured with a photometer (Microplate Photometer, Thermo Fisher Scientific Multiskan FC, Waltham, MA, USA) at 530 nm. The results are expressed as µM.
2.7. Assessment of Nitrotyrosine (NT)
The NT level was determined using the OxiSelect™ Nitrotyrosine ELISA Kit (Cell Biolabs, San Diego, CA, USA), according to the manufacturer’s instructions, and the results are expressed as nM.
2.8. Statistical Analyses
Continuous data are reported as the mean and standard deviation or the median and interquartile range according to the data distribution, and categorical data are reported as frequencies and percentages. To account for the skewed data distribution, the results are graphically presented as boxplots. For the same rationale, as the values of the main variables (TAC, MDA, and NT) fit a lognormal distribution well, generalized linear mixed models were applied for the analyses, where the patient was considered a random effect. An exponential temporal covariance structure was used to account for the uneven time points when needed. Multiple comparison adjustments were performed with Dunnett’s and Tukey–Kramer’s procedures. A two-sided p < 0.05 was considered statistically significant. All statistical analyses were performed using SAS® 9.4 (SAS Institute Inc., Cary, NC, USA).
3. Results
Figure 1b displays the number of patients sampled in the different phases and study groups, Table 1 summarizes the characteristics of all the patients enrolled in the study, and Table 2 and Supplementary Table S1 describe the types of implanted BHVs and MHVs, respectively. They show that the BHVs were implanted surgically (AVR) in the majority of the patients, but some patients were subjected to TAVI.
Table 1.
Phase A | Phase B1 | Phase B2 | |||||
---|---|---|---|---|---|---|---|
Control CABG | Control Mechanical Prostheses | Biological Prostheses | Control CABG | Control Mechanical Prostheses | Biological Prostheses | ||
PATIENTS (number) | 112 | 49 | 37 | 301 | 45 | 36 | 477 |
Male—total no. (%) | 59 (52.3) | 37 (75.5) | 27 (77.1) | 175 (58.5) | 41 (91.1) | 25 (71.4) | 328 (68.8) |
Age—yr, mean (SD) | 76.9 (11.0) | 69.4 (7.6) | 59.6 (12.1) | 74.8 (7.8) | 76.2 (5.8) | 70.7 (9.5) | 79.1 (7.4) |
Diabetes mellitus—total no. (%) | 30 (26.8) | 19 (30.6) | 6 (17.1) | 89 (29.8) | 10 (22.2) | 12 (34.3) | 132 (27.9) |
Hypertension—total no. (%) | 90 (80.4) | 41 (85.4) | 24 (68.6) | 251 (84.2) | 35 (79.6) | 23 (65.7) | 400 (84.9) |
MI—total no. (%) | NR | 49 (100) | 1 (2.7) | 16 (5.4) | 45 (100) | 0 (0) | 36 (7.6) |
NO donors—total no. (%) | 5 (4.5) | 4 (8.2) | 0 (0) | 11 (3.7) | NR | NR | 18 (3.8) |
Statins—total no. (%) | 64 (57.1) | 33 (67.3) | 15 (40.5) | 174 (57.8) | NR | NR | 284 (59.5) |
OAC—total no. (%) | 30 (26.8) | 5 (10.2) | 6 (16.2) | 43 (14.3) | NR | NR | 105 (22.0) |
APT—total no. (%) | 48 (42.9) | 35 (71.4) | 7 (18.9) | 111 (36.9) | NR | NR | 238 (49.9) |
SURGICAL DATA | |||||||
Valve Surgery + CABG—total no. (%) | 14 (12.5) | NR | NR | NR | NR | NR | NR |
Cross-clamp time—min | |||||||
Median | NR | 36.6 | 48.6 | 43.2 | NR | NR | NR |
IQR | 33.0–44.4 | 38.4–57.6 | 33.0–57.0 | ||||
CPB time—min | |||||||
Median | NR | 69.0 | 63.9 | 58.8 | NR | NR | NR |
IQR | 60.6–75.6 | 52.2–72.6 | 44.4–72.0 |
APT, antiplatelet drugs; CPB, cardiopulmonary bypass; IQR, interquartile range; MI, myocardial infarction; NO, nitric oxide; NR, not recorded; OAC, oral anticoagulant drugs.
Table 2.
Type of Prostheses | Phase A (n = 112) |
Phase B1 (n = 301) |
Phase B2 (n = 477) |
---|---|---|---|
Porcine Xenograft | 16 | 7 | 51 |
Mosaic (stented) | 9 | 2 | 36 |
Epic & Epic Supra (stented) | 2 | 0 | 11 |
Hancock II (stented) | 1 | 5 | 0 |
Shelhigh (stentless) | 2 | 0 | 0 |
Freestyle (stentless) | 0 | 0 | 2 |
O’Brien (stentless) | 1 | 0 | 2 |
Bovine Pericardium | 96 | 267 | 426 |
Perimount Magna & Magna Ease (stented) | 26 | 136 | 297 |
Mitroflow (stented) | 67 | 32 | 111 |
Trifecta (stented) | 0 | 25 | 0 |
Solo (stentless) | 1 | 30 | 12 |
Perceval (sutureless) | 0 | 22 | 0 |
Sapien (TAVI) | 2 | 20 | 6 |
Jena (TAVI) | 0 | 2 | 0 |
Equine Pericardium | 0 | 22 | 0 |
3f (stentless) | 0 | 15 | 0 |
Enable (sutureless) | 0 | 7 | 0 |
Porcine Pericardium | 0 | 5 | 0 |
CoreValve (TAVI) | 0 | 4 | 0 |
Acurate neo/TF (TAVI) | 0 | 1 | 0 |
3.1. Oxidative Stress during the First 24 Months after BHV Implantation (Phase B1)
As shown in Figure 2a, the TAC values before surgery (baseline) were similar in all three groups. After surgery, differences between the values at each sampling time compared with their own baseline values were not statistically significant when compared between groups.
By contrast, Figure 2b shows that the MDA values before surgery tended to be lower in the MHV group. Nevertheless, the MDA values were significantly greater in all study groups 1 month after surgery when compared with the corresponding baseline values (p < 0.001, p < 0.001, and p = 0.009 for BHVs, CABGs, and MHVs, respectively). Thereafter, the values in all groups were not significantly different from baseline, suggesting that the observed 1-month increase may be attributed to a response to surgery. When the groups were compared at the various later sampling times, there was a significant difference between the BHV and MHV groups at 12 months only (p = 0.020).
Figure 2c shows that the NT values increased following surgery by 24 months after surgery, although the values were similarly elevated in all the study groups (p < 0.001 versus their own baseline values in all instances).
Notably, there were no significant differences in the TAC, MDA, and NT values between the patients with different BHVs (bovine, equine, and porcine; data not shown). Interestingly, the comparison displayed in Figure 3a–c of AVR patients with pericardium BHVs versus the TAVI group (with BHVs made of pericardial tissue) shows that the MDA levels increased significantly 1 month after surgery (p < 0.001 versus baseline) in the AVR group but not in the TAVI group; however, they were significantly higher in the TAVI than in the AVR group by 12 months after implantation (p < 0.001). Furthermore, the NT levels started to increase earlier in TAVI patients (after 6 months, p = 0.0144 versus baseline and p = 0.003 versus AVR group) with further elevation after 12 months of the follow-up (p = 0.002 versus baseline and p = 0.01 versus AVR group; see Figure 3c). Of note is that although the NT levels in the AVR group were also significantly increased after 12 and 24 months (p < 0.001 versus baseline in both cases), values were always higher in the TAVI group.
3.2. Oxidative Stress in Incipient SVD (Phase B1)
Patients with a BHV and exhibiting an increase in the MAP gradient ≥ 10 mmHg (e.g., incipient SVD) were already identified in Phase B1. In particular, 14 patients were identified with a Δ MAP gradient ≥ 10 mmHg between the 6- and 12- to 24-month follow-ups, and 9 patients had serum samples available for the assessment of oxidative stress status. All were AVR patients and none TAVI. These were compared with the 92 patients showing a MAP gradient <10 mmHg (e.g., without incipient SVD) in which oxidative stress status was also determined at various time points (baseline and 1, 6, and 12–24 months). Therefore, in the analysis, each patient acted as his or her own control. Figure 4a shows that the TAC values tended to increase by 6- and 12- to 24-month follow-ups in both B1 groups, reaching statistical significance in the group without incipient SVD at 12–24 months (p = 0.011 vs. baseline and p = 0.005 vs. 1-month follow-up). The MDA results displayed in Figure 4b show that by the 6-month follow-up, values were significantly greater (p = 0.018) in the incipient SVD group than in the group without incipient SVD. Thereafter, by the 12–24-month follow-up, the values were similar in both groups. Figure 4c shows that the NT values were not significantly changed during the first 6 months after AVR; however, by 12–24 months of follow-up, they increased in the two study groups.
3.3. Oxidative Stress Associated with SVD (Phase A) and BHVs >48 Months after AVR (Phase B2)
To compare the degree of oxidative stress in patients with SVD and in patients with a BHV implanted >48 months prior without evidence of SVD, the serum levels of TAC, MDA, and NT were determined at inclusion. Again, patients who underwent an MHV implantation or CABG surgery >48 months prior served as controls.
Figure 5a demonstrates that TAC values in patients with SVD were similar to the values found in the BHV and CABG groups; although, they seemed lower in the MHV group than in all the other groups.
The MDA results shown in Figure 5b demonstrate lower values in the SVD group than in the BHV group (p = 0.025). They also tended to be lower in the SVD group than in the CABG and MHV groups, but the differences were not significant. Finally, the NT results were not associated with significant differences between groups (Figure 5c).
3.4. Oxidative Stress Changes in the Follow-Up of Phase B2 Patients
To assess whether patients with a BHV implanted >48 months prior (median: 6.6 years; IQR: 5.6–8.0) undergo an increase in oxidative stress that could be associated with the development of SVD, the sera from those who had a second follow-up visit 12–24 months after (>60–72 months after BHV implantation) were used to determine the TAC, MDA, and NT values, and the results were compared with those at the time of recruitment (>48 months after BHV implantation). The results shown in Figure 6a–c demonstrate that after 12–24 months of follow-up, the TAC, MDA, and NT values were significantly increased (p < 0.001, p = 0.02, and p < 0.001, respectively). When a paired comparison was made, taking only the results of the patients who were sampled at the two times, an identical picture emerged between the B2 baseline values (>48 months after BHV implantation) and the 12- to 24-month values (>60–72 months after BHV implantation) (data not shown). These results clearly demonstrate that beyond 48 months after BHV implantation, patients exhibit a significant increase in oxidative stress markers.
3.5. Effect of the Source of BHV Tissue on Oxidative Stress (Phase B2)
The results for patients in whom bovine pericardium and porcine aortic valves were implanted >48 months prior were compared at baseline (>48 months after BHV implantation) and 12–24 months later (>60–72 months after BHV implantation). As shown in Figure 6d, the TAC values were similar in the patients with implanted bovine pericardium and porcine aortic valves when first assessed >48 months after BHV implantation. However, after 12–24 months of follow-up, the levels increased significantly in the bovine pericardium group (p < 0.001), while they did not change significantly in the porcine aortic valve group.
Figure 6e shows that the MDA values were again similar in the two valve tissue groups >48 months after surgery; however, after 12–24 months of follow-up (>60–72 months after BHV implantation), the values increased significantly in the bovine pericardium group (p = 0.007) and tended to decrease in the porcine aortic group, although the difference was not significant.
The results for NT shown in Figure 6f also demonstrate that the values in the bovine pericardium and porcine aortic valve groups after >48 months of prosthesis implantation were not significantly different; however, after 12–24 months of follow-up (>60–72 months after BHV implantation), the values had increased significantly in both BHV groups (p < 0.001 and p = 0.015, respectively, in comparison with their respective baseline values).
3.6. Oxidative Stress in Incipient SVD (Phase B2)
Of the 477 patients in Phase B2 in whom oxidative stress was assessed at inclusion, a second assessment after 12–24 months of follow-up (>60–72 months after BHV implantation) was performed in 79 patients, and of these patients, 11 were identified with a Δ MAP gradient ≥10 mmHg between baseline and follow-up. The results of oxidative stress markers from these two sets of patients were compared at both time points and with the results for those diagnosed with established SVD (Phase A). Figure 7a shows that the TAC values were similar in both B2 groups at baseline and then increased after 12–24 months of follow-up; a significant difference (p = 0.001) was observed only in the group without incipient SVD. Of note was the lower TAC values in the patients with established SVD compared with the B2 group without incipient SVD at the 12- to 24-month follow-up (p = 0.024). The MDA results shown in Figure 7b demonstrate a lower baseline value in the group that developed incipient SVD compared with the group without incipient SVD (p = 0.009), with a similar trend at the 12- to 24-month follow-up, although at this time point, the difference was not significant. Again, lower values were observed in the group with established than in the group without incipient SVD at baseline and at the 12- to 24-month follow-up (p = 0.01 and p < 0.001, respectively) but were similar to the group with incipient SVD. The NT results shown in Figure 7c demonstrate a significant increase from baseline to 12–24 months of follow-up in the group without incipient SVD (p < 0.001); these values were also significantly greater than those observed in the established SVD group (p < 0.001). The NT values in the group with incipient SVD were similar to those in the established SVD group and tended to be lower than those in the group without incipient SVD, although the difference was not significant.
3.7. Effect of BHV Framework Type and Size on Oxidative Stress (Phase B2)
The patients with bovine pericardium valves implanted >48 months prior were separated into three groups according to their framework: stented, stentless, and TAVI. As all porcine aortic valve prostheses are stented, this analysis was not performed for this type of BHV. The results obtained at the time of recruitment (>48 months after BHV implantation) were compared between them and with the values measured 12–24 months later (>60–72 months after BHV implantation). Figure 8a shows that the TAC values were not significantly different between the three groups at >48 months after BHV implantation. However, after 12–24 months of follow-up, the TAC values increased to a similar degree in the subjects with stented and stentless BHVs, with a significant difference observed for the former (p < 0.001) but not the latter. The MDA and NT results shown in Figure 8b,c, respectively, also demonstrate that after the 12- to 24-month follow-up, the two oxidative stress markers exhibited significant increases in the stented group (p = 0.011 and p < 0.001, respectively). The number of patients with stentless BHVs and TAVI was too small to perform statistical comparisons.
Supplementary Table S2 shows a greater incidence of SVD in individuals with Mitroflow BHVs, especially in those with small diameters (19–21 mm). However, as shown in Supplementary Figure S1a–c and Supplementary Figure S2a–c, there were no significant differences in oxidative stress markers between 19–21 mm and >21 mm diameter at any time point in Phases B1 and B2.
3.8. Effect of Comorbidities and Medical Treatments on Oxidative Stress
The study of the effect of comorbidities on oxidative stress in patients with >48 months of BHV implantation (Phase B2) shown in Supplementary Table S3 demonstrated a significant difference for NT in patients with ischemic heart disease. However, no significant differences were found between groups for the presence of comorbidities, such as diabetes mellitus, arterial hypertension, and obesity.
Supplementary Tables S4 and S5 show that the treatment with the antiglycemic drug metformin had a significant effect on the NT but not in the MDA serum levels. NT values were significantly lower in patients treated with metformin than in those without treatment before BHV implantation and during the first 6 months after implantation. However, beyond the 12-month follow-up, the NT increased to a similar degree in both groups, a trend that was maintained for the remainder of the follow-up (Phase B2 patients). Interestingly, once SVD developed (Phase A), the NT was reduced again to values similar to those seen at baseline with a greater reduction in the metformin-treated group, although the difference did not achieve statistical significance (p = 0.079). Other medications did not show a noticeable effect on oxidative stress markers (data not shown).
4. Discussion
This longitudinal multicenter clinical study is the first to demonstrate that oxidative stress markers increase with time in the serum of patients with a BHV and decrease to baseline levels when incipient and established SVD develop. These findings are of clinical relevance and support the hypothesis that ROS play a key role as early effectors of SVD and warrant further investigation and discussion.
4.1. Oxidative Stress Increases after BHV Implantation and Decreases Once SVD Develops
Our results show that an increase in oxidative stress markers is noticeable in serum 6 months after BHV implantation and that a further increase occurs beyond the 48 months after implantation, as illustrated by the significant increases in MDA and NT levels and the concomitant increase in TAC values. The elevation in TAC values is likely associated with a compensatory mechanism to counteract oxidative stress [22,23]. By contrast, a marked reduction in oxidative stress markers was observed in Phase B2 incipient (Δ MAP gradient ≥ 10 mmHg) and established (MAP gradient ≥ 30 mmHg) SVD to levels similar to those found prior to BHV implantation. These findings support the hypothesis that ROS play a role as mediators of SVD, which is also supported by the oxidative modifications found in calcific aortic sclerosis [24,25] and in the leaflets of BHVs with SVD [19,20]. In addition, dysregulation of glutathione homeostasis has been associated with aortic valve sclerosis [26]. Indeed, in vitro studies have shown that oxidative stress promotes calcification [27] via enhanced BMP2 expression and signaling [28].
It is worth pointing out that the transient increase in lipid peroxidation observed 1 month after cardiac surgery in our study, occurring both in the patients with BHVs and in the controls, is likely caused by the anesthesia and surgery, as the TAVI group not subjected to surgery did not exhibit such elevation. This hypothesis is supported by studies from our own laboratory [29,30] and by other investigators [31] showing increased oxidative stress during cardiac surgery and during the early postoperative period and its association with a greater incidence of postoperative atrial fibrillation [31].
The lower levels of oxidative stress markers observed in the patients with incipient and established SVD (>48 months) in comparison with the patients without SVD suggest that the cause of the oxidative stress is within the leaflets of the BHV and that once they become calcified, the oxidative stress trigger wears off. This thesis is further supported by the finding that the antiglycemic drug metformin reduces NT levels before BHV implantation and during the first 6 months of follow-up. Thereafter, the NT values continue to rise with the disappearance of the beneficial effect of metformin, only to be reduced again when SVD develops. Indeed, the antioxidant effect of metformin has been previously described in endothelial cells [32] and in patients with type 2 diabetes [33].
The most plausible cause of the observed oxidative stress changes is an immune response to the presence of xenoantigens on the BHV implants. The immunogenicity hypothesis for SVD is supported by the reported substantial amounts of αGal residues remaining in BHVs [13], even after combined aggressive decellularization protocols [34], and by the abundant expression of swine major histocompatibility antigens (SLA-II) in BHVs despite decellularization and glutaraldehyde fixation [15]. Recently, we also have shown that Neu5Gc is expressed in several commercial BHVs and that they are recognized by human anti-Neu5Gc IgG [14]. Notably, recognition of bound antibodies through Fcγ receptors is a key trigger of neutrophil and macrophage activation, phagocytic activity, and ROS production [35,36]. Animal models using αGal-deficient mice [37] and Neu5Gc-deficient mice [10], generated by knockout of the genes GGTA1 and CMAH that encode for the enzymes that catalyze their synthesis, also suggest that the immune response against αGal- and Neu5Gc-positive valves can induce calcification and deterioration of experimental implants. Hence, as xenoantigens are not fully removed from BHVs, they may also affect the valve implant. Notwithstanding, if the immune response triggers oxidative stress, then the recent procurement of knockout cattle and pigs lacking αGal and Neu5Gc [38,39] may result in a reduction in the oxidative stress in clinical settings through a reduction in the immunogenicity burden in BHVs.
4.2. Oxidative Stress Is Greater in TAVI Patients
A greater increase in oxidative stress markers was observed in Phase B1 in TAVI patients as compared with AVR patients, in whom the BHV was also made of pericardial tissue. A possible explanation for these results may be the known damage that TAVI valves undergo by “crimping” during the implantation procedure [40], a damage that may be responsible for an increase in oxidative stress and that, in turn, may lead to calcification of the prosthesis [41]. In this connection, some investigators have reported a gradual increase in calcification in TAVI valves, progressing to valve degeneration within the first 5 years of implantation [42], also making them more prone to valve thrombosis [43]. The number of patients with TAVI was not sufficient to demonstrate these clinical outcomes, but this aim was out of the scope of the present study.
4.3. Influence of BHV Tissue Type and Size on Oxidative Stress
The present findings show that there is a distinctive response between bovine pericardium and porcine aortic BHVs, with NT levels increasing in patients carrying both BHV types and MDA levels increasing only in those with bovine aortic valves. A potential explanation for the differential oxidative stress response between the two BHV types is the greater collagen content observed in the implants made of pericardial tissue compared with porcine aortic tissue [44], as platelets become activated upon exposure to collagen and have a potential proinflammatory action [45]. We have previously shown, using cultured human leukocytes, that protein nitration is predominantly generated by a peroxynitrite (ONOO)-mediated pathway [46] and that ONOO− plays an essential role in the mechanism of proinflammatory cytokine release by monocytes, an effect that is necessarily mediated by the activation of the Rel/NF-kB pathway [47]. Indeed, inflammation has been found to be associated with the calcification of aortic valves [8,48]. Furthermore, interleukin (IL)-6, a soluble mediator with pleiotropic effects, is increased in human calcific aortic valves, where it promotes mineralization of valve interstitial cells via the expression of BMP2 [49]. Similarly, the proinflammatory cytokine IL-1β has been reported to increase in stenotic aortic valve leaflets [50]. Therefore, cytokines might be key inflammatory mediators of the osteogenic program in aortic valves through multiple pathways, and they may link immunogenicity and oxidative stress mechanisms in SVD. Taken together, the xenoantigens present in BHVs together with other proinflammatory factors may induce the production of xenoantibodies and an inflammatory response that, in turn, leads to an increase in oxidative stress. Once the BHV calcifies, the xenoantigens are removed from the tissues, causing the dissipation of the immune and inflammatory response and the reduction in oxidative stress.
Notwithstanding, the best tissue type for BHVs remains unclear as clinical studies have reported variable BHV durability depending on the animal origin of the tissue, with some studies showing a better outcome with bovine pericardium than with porcine pericardium [51], others demonstrating similar durability between them [52], and even a few reporting good long-term durability of porcine aortic valve prostheses [53]. It is clear that this is an issue that requires further investigation.
Since stentless BHVs have better hemodynamic performance than stented BHVs [54], the lack of difference in the degree of oxidative stress associated with these two types of BHVs in our study supports the hypothesis that oxidative stress is independent of flow changes, a thesis that is further supported by the absence of differences in oxidative stress markers between small (19–21 mm diameter) and bigger-size (>21 mm diameter) BHVs.
4.4. Study Limitations
One limitation of the study was related to the BHV type used, which varied depending on the participating centers and on the surgeon’s preference. As a result, not all BHV types were investigated, and the number of BHVs in each group varied between the types. However, it should be recognized that this kind of study is difficult to perform, and therefore, the protocol design was adapted to the particular clinical features of AVR. Another limitation was the assessment of oxidative stress markers in available serum samples after completion of the primary investigation, consisting of analyzing the antibody response in BHVs [10]. Because of this, serum samples were not obtained from all the patients. Furthermore, despite the strong statistical differences observed, an additional shortcoming inherent to clinical studies such this is the difficulty of demonstrating a cause–effect link. Therefore, although the results obtained in the present study strongly support the hypothesis that oxidative stress plays a significant role in SVD, further studies are required to confirm this relationship.
5. Conclusions
The identification of increased oxidative stress markers in BHV patients as early as 6 months after implantation, with further elevation beyond 48 months after implantation, but decreased oxidative stress when SVD develops supports the hypothesis that oxidative stress in the BHV plays a significant role in SVD. These findings have important clinical implications since they open the possibility that antioxidants can become potential therapeutic agents for the prevention or delay of SVD. Furthermore, this study opens the door for the potential use of oxidative stress biomarkers for the early detection of SVD.
Acknowledgments
We are grateful to Maria-Llanos Pérez for helping with the recruitment of patients and data collection and to Paula Ferrer for laboratory assistance.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/biom12111606/s1, Figure S1: (a) Total antioxidant capacity (TAC, in mM), (b) malondialdehyde (MDA, in µM), and (c) nitrotyrosine (NT, in nM) values in Phase B1 with implanted aortic biological heart valves (BHVs) according to their size (19–21 mm diameter in blue boxplots and >21 mm diameter in red boxplots) at different time points (baseline and 1, 6, 12 and 24 months after implantation). The numbers at the bottom of the figures represent the number of assessed patients. There were no significant statistical differences between the two study groups at any time-point, Figure S2: (a) Total antioxidant capacity (TAC, in mM), (b) malondialdehyde (MDA, in µM), and (c) nitrotyrosine (NT, in nM) values in Phase B2 patients with implanted aortic biological heart valves (BHVs) at the time of recruitment (>48 months after aortic valve replacement) and after 12–24 month follow-up (>60–72 months after aortic valve implantation) according to their size (19–21 mm diameter in blue boxplots and >21 mm diameter in red boxplots). The numbers at the bottom of the figures represent the number of assessed patients. There were no statistical significant differences between the two study groups at the two time-points, Table S1: Types of mechanical prostheses implanted, Table S2: Time to detection (months) of structural valve deterioration (SVD) in implanted bioprostheses, Table S3: Effect (P values) of comorbidities on oxidative stress >48 months after BHV implantation (Phase B2), Table S4: Effect (P values) of treatment with metformin on oxidative stress in BHV patients in Phase B1, Table S5: Effect (P values) of treatment with metformin on oxidative stress in BHV patients in Phase B2 and Phase A (patients with SVD).
Author Contributions
Conceptualization, M.G., R.M., T.L.T., J.B., T.B., J.C.R., T.S., C.G., V.P.-K., J.-P.S., E.C. and C.C.; data curation, M.G., K.C., T.L.T., J.B., T.S., X.V. and C.C.; formal analysis, M.G., K.C., J.B., A.R.-M., X.V. and C.C.; funding acquisition, M.G., R.M., T.L.T., J.C.R., C.G., V.P.-K., J.-P.S., E.C. and C.C.; investigation, M.G., K.C., A.B.-L., E.P., T.L.T., T.B., J.C.R., A.E., L.P.B., A.R.-M., V.P.-K. and C.C.; methodology, M.G., K.C., R.M., T.L.T., L.P.B., V.P.-K., J.-P.S. and C.C.; project administration, M.G., R.M., T.L.T., I.F.-H., V.P.-K., J.-P.S., E.C. and C.C.; resources, M.G., R.M., T.L.T., J.C.R., V.P.-K., J.-P.S., E.C. and C.C.; software, S.S.J. and X.V.; supervision, M.G., R.M., J.C.R., A.E., L.P.B., V.P.-K., J.-P.S., E.C. and C.C.; validation, M.G., E.P., R.M., T.L.T., J.B., S.S.J., T.B., J.C.R., I.F.-H., T.S., A.E., L.P.B., A.R.-M., C.G., V.P.-K., J.-P.S., X.V., E.C. and C.C.; visualization, M.G., A.B.-L., E.P., R.M., T.L.T., J.B., S.S.J., T.B., J.C.R., I.F.-H., T.S., A.E., L.P.B., A.R.-M., V.P.-K., J.-P.S., X.V., E.C. and C.C.; writing—original draft, M.G.; writing—review and editing, M.G., K.C., A.B.-L., E.P., R.M., T.L.T., J.B., S.S.J., T.B., J.C.R., T.S., A.E., L.P.B., A.R.-M., C.G., V.P.-K., J.-P.S., X.V., E.C. and C.C. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the ethics committee for the participating institutions (PR314/2013).
Informed Consent Statement
Written informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Not applicable.
Conflicts of Interest
C.G. and J.-P.S. produced α-Gal and Neu5Gc knockout pigs. C.G. (Avantea) and several authors of this paper also contributed to the production of α-Gal and Neu5Gc knockout bovine. The rest of the coauthors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
Funding Statement
The project was funded by the European Commission (FP7/2007–2013; Grant Agreement 603049: accessed on 1 September 2013; http://www.translinkproject.com/). This work was also supported by the Ministerio de Economía y Competitividad-ISCiii (PI15/00181); and PERIS SLT002/16/00445 funded by the Department of Health of the Generalitat de Catalunya, both granted to C.C., and cofunded by FEDER funds, a way to build Europe. IDIBELL benefits from the support of CERCA.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Pibarot P., Dumesnil J.G. Prosthetic heart valves: Selection of the optimal prosthesis and long-term management. Circulation. 2009;119:1034–1048. doi: 10.1161/CIRCULATIONAHA.108.778886. [DOI] [PubMed] [Google Scholar]
- 2.Sénage T., Gillaizeau F., Le Tourneau T., Marie B., Roussel J.C., Foucher Y. Structural valve deterioration of bioprosthetic aortic valves: An understimated complication. J. Thorac. Cardiovasc. Surg. 2019;157:1383–1390. doi: 10.1016/j.jtcvs.2018.08.086. [DOI] [PubMed] [Google Scholar]
- 3.Chiang Y.P., Chikwe J., Moskowitz A.J., Itagaki S., Adams D.H., Egorova N.N. Survival and long-term outcome following bioprosthetic vs mechanical aortic valve replacement in patients aged 50 to 69 years. JAMA. 2014;312:1323–1329. doi: 10.1001/jama.2014.12679. [DOI] [PubMed] [Google Scholar]
- 4.Capodanno D., Petronio A.S., Prendergast B., Eltchaninoff H., Vahanian A., Modine T., Lancellotti P., Sondergaard L., Ludman P.F., Tamburino C., et al. Standardized definitions of structural deterioration and valve failure in assessing long-term durability of transcatheter and surgical aortic bioprosthetic valves: A consensus statement from the European Association of Percutaneous Cardiovascular Interventions (EAPCI) endorsed by the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS) Eur. Heart J. 2017;38:3382–3390. doi: 10.1093/eurheartj/ehx303. [DOI] [PubMed] [Google Scholar]
- 5.Dvir D., Bourguignon T., Otto C.M., Hahn R.T., Rosenhek R., Webb J.G., Treede H., Sarano M.E., Feldman T., Wijeysundera H.C., et al. On behalf of VIVID (Valve in Valve International Data) investigators. Standardized definition of structural valve degeneration for surgical and transcatheter bioprosthetic aortic valves. Circulation. 2018;137:388–399. doi: 10.1161/CIRCULATIONAHA.117.030729. [DOI] [PubMed] [Google Scholar]
- 6.Sénage T., Le Tourneau T., Foucher Y., Pattier S., Cueff C., Michel M., Serfaty J.M., Mugniot A., Périgaud C., Carton H.F., et al. Early structural valve deterioration of Mitroflow aortic bioprosthesis: Mode, incidence, and impact on outcome in a large cohort of patients. Circulation. 2014;130:2012–2020. doi: 10.1161/CIRCULATIONAHA.114.010400. [DOI] [PubMed] [Google Scholar]
- 7.Sabbah H.N., Hamid M.S., Stein P.D. Mechanical factors in the degeneration of porcine bioprosthetic valves: An overview. J. Card. Surg. 1989;4:302–309. doi: 10.1111/j.1540-8191.1989.tb00294.x. [DOI] [PubMed] [Google Scholar]
- 8.Coté N., Mahmut A., Bosse Y., Couture C., Pagé S., Trahan S., Boulanger M.C., Fournier D., Pibarot P., Mathieu P. Inflammation is associated with the remodeling of calcific aortic valve disease. Inflammation. 2013;36:573–581. doi: 10.1007/s10753-012-9579-6. [DOI] [PubMed] [Google Scholar]
- 9.Mangold A., Szerafin T., Hoetzenecker K., Hacker S., Lichtenauer M., Niederpold T., Nickl S., Dworschak M., Blumer R., Auer J., et al. Alpha-Gal specific IgG immune response after implantation of bioprostheses. Thorac. Cardiovasc. Surg. 2009;57:191–195. doi: 10.1055/s-0029-1185395. [DOI] [PubMed] [Google Scholar]
- 10.Senage T., Paul A., Le Tourneau T., Fellah-Hebia I., Vadori M., Bashir S., Galiñanes M., Bottio T., Gerosa G., Evangelista A., et al. Early antibody responses against glycans of bioprosthetic heart valves support their eventual calcification. Nat. Med. 2022;28:283–294. doi: 10.1038/s41591-022-01682-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Flameng W., Herregods M.C., Vercalsteren M., Herijgers P., Bogaerts K., Meuris B. Prosthesis-patient mismatch predicts structural valve degeneration in bioprosthetic heart valves. Circulation. 2010;121:2123–2129. doi: 10.1161/CIRCULATIONAHA.109.901272. [DOI] [PubMed] [Google Scholar]
- 12.Blasco-Lucas A., Permanyer E., Pérez M.L., Gracia-Baena J.M., Rios R., Casós K., Galiñanes M. Effect of bioprostheses anti-calcification treatment: Comparative follow-up between mitroflow LX and Magna pericardial xenografts using propensity score-weighted analysis. Interact. Cardiovasc. Thorac. Surg. 2017;24:335–341. doi: 10.1093/icvts/ivw378. [DOI] [PubMed] [Google Scholar]
- 13.Naso F., Gandaglia A., Bottio T., Tarzia V., Nottle M.B., d’Apice A.J.F., Cowan P.J., Cozzi E., Galli C., Lagutina I., et al. First quantification of alpha-Gal epitope in current glutaraldehyde-fixed heart valve bioprostheses. Xenotransplantation. 2013;20:252–261. doi: 10.1111/xen.12044. [DOI] [PubMed] [Google Scholar]
- 14.Reuven E.M., Leviatan Ben-Arye S., Marshanski T., Breimer M.E., Yu H., Fellah-Hebia I., Roussel J.C., Costa C., Galiñanes M., Mañez R., et al. Characterization of immunogenic Neu5Gc in bioprosthetic heart valves. Xenotransplantation. 2016;23:381–392. doi: 10.1111/xen.12260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mirzaie M., Meyer T., Saalmüller A., Dalichau H. Influence of glutaraldehyde fixation on the detection of SLA-I and II antigens and calcification tendency in porcine cardiac tissue. Scand. Cardiovasc. J. 2000;34:589–592. doi: 10.1080/140174300750064530. [DOI] [PubMed] [Google Scholar]
- 16.Liberman M., Bassi E., Martinatti M.K., Lario F.C., Wosniak J., Jr., Pomerantzeff P.M.A., Laurindo F.R.M. Oxidant generation predominates around calcifying foci and enhances progression of aortic valve calcification. Arterioscler. Thromb. Vasc. Biol. 2008;28:463–470. doi: 10.1161/ATVBAHA.107.156745. [DOI] [PubMed] [Google Scholar]
- 17.Miller J.D., Chu Y., Brooks R.M., Richenbacher W.E., Pena-Silva R., Heistad D.D. Dysregulation of antioxidant mechanisms contributes to increased oxidative stress in calcific aortic valvular stenosis in humans. J. Am. Coll. Cardiol. 2008;52:843–850. doi: 10.1016/j.jacc.2008.05.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Towler D.A. Oxidation, inflammation, and aortic valve calcification peroxide paves an osteogenic path. J. Am. Coll. Cardiol. 2008;52:851–854. doi: 10.1016/j.jacc.2008.05.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Olsson M.G., Allhorn M., Bulow L., Hansson S.R., Ley D., Olsson M.L., Schmidtchen A., Åkerström B. Pathological conditions involving extracellular hemoglobin: Molecular mechanisms, clinical significance, and novel therapeutic opportunities for α-1-microglobulin. Antioxid. Redox Signal. 2012;17:813–846. doi: 10.1089/ars.2011.4282. [DOI] [PubMed] [Google Scholar]
- 20.Christian A.J., Lin H., Alferiev I.S., Connolly J.M., Ferrari G., Hazen H., Ischiropoulos H., Levy R.J. The susceptibility of bioprosthetic heart valve leaflets to oxidation. Biomaterials. 2014;35:2097–2102. doi: 10.1016/j.biomaterials.2013.11.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lee S., Levy R.J., Christian A.J., Hazen S.L., Frick N.E., Lai E.K., Grau J.B., Bavaria J.E., Ferrari G. Calcification and oxidative modifications are associated with progressive bioprosthetic heart valve dysfunction. JAHA. 2017;6:e005648. doi: 10.1161/JAHA.117.005648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Fatouros I.G., Jamurtas A.Z., Villiotou V., Pouliopoulou S., Fotinakis P., Taxildaris K., Deliconstantinos G. Oxidative stress responses in older men during endurance training and detraining. Med. Sci. Sports Exerc. 2004;36:2065–2072. doi: 10.1249/01.MSS.0000147632.17450.FF. [DOI] [PubMed] [Google Scholar]
- 23.Marrocco I., Altieri F., Peluso I. Measurement and clinical significance of biomarkers of oxidative stress in humans. Oxid. Med. Cell. Longev. 2017;2017:6501046. doi: 10.1155/2017/6501046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mohty D., Pibarot P., Després J.P., Côté C., Arsenault B., Cartier A., Cosnay P., Couture C., Mathieu P. Association between plasma LDL particle size, valvular accumulation of oxidized LDL, and inflammation in patients with aortic stenosis. Arterioscler. Thromb. Vasc. Biol. 2008;28:187–193. doi: 10.1161/ATVBAHA.107.154989. [DOI] [PubMed] [Google Scholar]
- 25.Côté C., Pibarot P., Després J.P., Mohty D., Cartier A., Arsenault B.J., Couture C., Mathieu P. Association between circulating oxidised low-density lipoprotein and fibrocalcific remo-delling of the aortic valve in aortic stenosis. Heart. 2008;94:1175–1180. doi: 10.1136/hrt.2007.125740. [DOI] [PubMed] [Google Scholar]
- 26.Valerio V., Myasoedova V.A., Moschetta D., Porro B., Perrucci G.L., Cavalca V., Cavallotti L., Songia P., Poggio P. Impact of oxidative stress and protein S-glutathionylation in aortic valve sclerosis patients with overt atherosclerosis. J. Clin. Med. 2019;8:552. doi: 10.3390/jcm8040552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Parhami F., Morrow A.D., Balucan J., Leitinger N., Watson A.D., Tintut Y., Berliner J.A., Demer L.L. Lipid oxidation products have opposite effects on calcifying vascular cell and bone cell differentiation. A possible explanation for the paradox of arterial calcification in osteoporotic patients. Arterioscler. Thromb. Vasc. Biol. 1997;17:680–687. doi: 10.1161/01.ATV.17.4.680. [DOI] [PubMed] [Google Scholar]
- 28.Johnson R.C., Leopold J.A., Loscalzo J. Vascular calcification: Pathobiological mechanisms and clinical implications. Circ. Res. 2006;99:1044–1059. doi: 10.1161/01.RES.0000249379.55535.21. [DOI] [PubMed] [Google Scholar]
- 29.Matata B.M., Galiñanes M. Cardiopulmonary bypass exacerbates oxidative stress but does not increase proinflammatory cytokines release in diabetics compared with non-diabetic patients: Regulatory effects of exogenous nitric oxide. J. Thorac. Cardiovasc. Surg. 2000;120:1–11. doi: 10.1067/mtc.2000.106835. [DOI] [PubMed] [Google Scholar]
- 30.Matata B.M., Galiñanes M. Off-pump bypass graft surgery significantly reduces oxidative stress and inflammation. Ann. Thorac. Surg. 2000;69:785–791. doi: 10.1016/S0003-4975(99)01420-4. [DOI] [PubMed] [Google Scholar]
- 31.Wu J.H.Y., Marchioli R., Silletta M.G., Masson S., Selke F.W., Libby P., Milne G.L., Brown N.J., Lombardi F., Damiano R.J., Jr., et al. Oxidative stress biomarkers and incidence of postoperative atrial fibrillation in the omega-3 fatty acids for prevention of postoperative atrial fibrillation (OPERA) trial. JAHA. 2015;4:e001886. doi: 10.1161/JAHA.115.001886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chakraborty A., Chowdhury S., Bhattacharyy M. Effect of metformin on oxidative stress, nitrosative stress and inflammatory biomarkers in type 2 diabetes patients. Diabetes Res. Clin. Pract. 2010;93:56–62. doi: 10.1016/j.diabres.2010.11.030. [DOI] [PubMed] [Google Scholar]
- 33.Hou X., Song J., Li X.-N., Zhang L., Wang X.L., Chen L., Shen Y.H. Metformin reduces intracellular reactive oxygen species levels by upregulating expression of the antioxidant thioredoxin via the AMPK-FOXO3 pathway. Biochem. Biophys. Res. Commun. 2010;396:199–205. doi: 10.1016/j.bbrc.2010.04.017. [DOI] [PubMed] [Google Scholar]
- 34.Findeisen K., Morticelli L., Goecke T., Kolbeck L., Ramm R., Höffler H.K., Brandes G., Korossis S., Haverich A., Hilfiker A. Toward acellular xenogeneic heart valve prostheses: Histological and biomechanical characterization of decellularized and enzymatically deglycosylated porcine pulmonary heart valve matrices. Xenotransplantation. 2020;27:e12617. doi: 10.1111/xen.12617. [DOI] [PubMed] [Google Scholar]
- 35.Crockett-Torabi E., Fantone J.C. Soluble and insoluble immune complexes activate human neutrophil NADPH oxidase by distinct Fcγ receptor-specific mechanisms. J. Immunol. 1990;145:3026–3032. [PubMed] [Google Scholar]
- 36.Nimmerjahn F., Ravetch J.V. Fcgamma receptors as regulators of immune responses. Nat. Rev. Immunol. 2008;8:34–47. doi: 10.1038/nri2206. [DOI] [PubMed] [Google Scholar]
- 37.Kim M.S., Jeong S., Lim H.G., Kim Y.J. Differences in xenoreactive immune response and patterns of calcification of porcine and bovine tissues in α-Gal knock-out and wild-type mouse implantation models. Eur. J. Cardiothorac. Surg. 2015;48:392–399. doi: 10.1093/ejcts/ezu501. [DOI] [PubMed] [Google Scholar]
- 38.Perota A., Lagutina I., Duchi R., Zanfrini E., Lazzari G., Judor J.P., Conchon S., Bach J.M., Bottio T., Gerosa G., et al. Generation of cattle knockout for galactose-α1,3-galactose and N-glycolylneuraminic acid antigens. Xenotransplantation. 2019;26:e12524. doi: 10.1111/xen.12524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Salama A., Mosser M., Lévêque X., Perota A., Judor J.P., Danna C., Pogu S., Mouré A., Jégou D., Gaide N., et al. Neu5Gc and α1-3 GAL xenoantigen knockout does not affect glycemia homeostasis and insulin secretion in pigs. Diabetes. 2017;66:987–993. doi: 10.2337/db16-1060. [DOI] [PubMed] [Google Scholar]
- 40.Alavi S., Groves E.M., Kheradvar A. The effects of transcatheter valve crimping on pericardial leaflets. Ann. Thorac. Surg. 2014;97:1260–1266. doi: 10.1016/j.athoracsur.2013.11.009. [DOI] [PubMed] [Google Scholar]
- 41.Zareian R., Tseng J.C., Fraser R., Meganck J., Kilduff M., Sarraf M., Dvir D., Kheradvar A. Effect of stent crimping on calcification of transcatheter aortic valves. Interact. Cardiovasc. Thorac. Surg. 2019;29:64–73. doi: 10.1093/icvts/ivz024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Arora S., Ramm C.J., Misenheimer J.A., Vavalle J.P. Early transcatheter valve prosthesis degeneration and future ramifications. Cardiovasc. Diagn. Ther. 2017;7:1–3. doi: 10.21037/cdt.2016.08.04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Jose J., Sulimov D., El-Mawardy M., Sato T., Allali A., Holy E.W., Becker B., Landt M., Kebernik J., Schwarz B., et al. Clinical bioprosthetic heart valve thrombosis after transcatheter aortic valve replacement. J. Am. Coll. Cardiol. Intv. 2017;10:686–697. doi: 10.1016/j.jcin.2017.01.045. [DOI] [PubMed] [Google Scholar]
- 44.Liao K., Seifter E., Hoffman D., Yellin E.L., Frater R.W.M. Bovine pericardium versus porcine aortic valve: Comparison of tissues biological properties as prosthetic valves. Artif. Organs. 1992;16:361–365. doi: 10.1111/j.1525-1594.1992.tb00532.x. [DOI] [PubMed] [Google Scholar]
- 45.Sellers S.L., Gulsin G.S., Zaminski D., Bing R., Latib A., Sathananthan J., Pibarot P., Bouchareb R. Platelets: Implications in aortic valve stenosis and bioprosthetic valve dysfunction from pathophysiology to clinical care. J. Am. Coll. Cardiol. Basic Trans. Sci. 2021;6:1007–1020. doi: 10.1016/j.jacbts.2021.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Galiñanes M., Matata B.M. Protein nitration is predominantly mediated by a peroxynitrite-dependent pathway in cultured human leucocytes. Biochem. J. 2002;367:467–473. doi: 10.1042/bj20020825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Matata B.M., Galiñanes M. Peroxynitrite is an essential component of cytokine production mechanism in human leukocytes through modulation of NF-kB DNA-binding activity. J. Biol. Chem. 2002;277:2330–2335. doi: 10.1074/jbc.M106393200. [DOI] [PubMed] [Google Scholar]
- 48.Kostyunin A.E., Yuzhalin A.E., Rezvova M.A., Ovcharenko E.A., Glushkova T.V., Kutikhin A.G. Degeneration of bioprosthetic heart valves: Update 2020. JAHA. 2020;9:e018506. doi: 10.1161/JAHA.120.018506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.El Husseini D., Boulanger M.C., Mahmut A., Bouchareb R., Laflamme M.H., Fournier D., Pibarot P., Bossé Y., Mathieu P. P2Y2 receptor represses IL-6 expression by valve interstitial cells through Akt: Implication for calcific aortic valve disease. J. Mol. Cell. Cardiol. 2014;72:146–156. doi: 10.1016/j.yjmcc.2014.02.014. [DOI] [PubMed] [Google Scholar]
- 50.Kaden J.J., Dempfle C.E., Grobholz R., Tran H.T., Kiliç R., Sarikoç A., Brueckmann M., Vahl C., Hagl S., Haase K.K., et al. Interleukin-1 beta promotes matrix metalloproteinase expression and cell proliferation in calcific aortic valve stenosis. Atherosclerosis. 2003;170:205–211. doi: 10.1016/S0021-9150(03)00284-3. [DOI] [PubMed] [Google Scholar]
- 51.Gao G., Wu Y.X., Grunkemeier G.L., Furnary A.P., Starr A. Durability of pericardial versus porcine aortic valves. J. Am. Coll. Cardiol. 2004;44:384–388. doi: 10.1016/j.jacc.2004.01.053. [DOI] [PubMed] [Google Scholar]
- 52.Ganapathi A.M., Englum B.R., Keenan J.E., Smith P.K., Glower D.D., Hughes G.C. Long-term survival after bovine pericardial versus porcine stented bioprosthetic aortic valve replacement: Does valve choice matter? Ann. Thorac. Surg. 2015;100:550–559. doi: 10.1016/j.athoracsur.2015.02.067. [DOI] [PubMed] [Google Scholar]
- 53.David T.E., Armstrong S., Maganti M. Hancock II bioprosthesis for aortic valve replacement: The gold standard of bioprosthetic valves durability? Ann. Thorac. Surg. 2010;90:775–781. doi: 10.1016/j.athoracsur.2010.05.034. [DOI] [PubMed] [Google Scholar]
- 54.Khoo J.P., Davies J.E., Ang K.L., Galiñanes M., Chin D. Differences in performance of five types of aortic valve prostheses: Haemodynamic assessment by dobutamine stress echocardiography. Heart. 2013;99:41–47. doi: 10.1136/heartjnl-2012-302256. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Not applicable.