Skip to main content
  • Research article
  • Open access
  • Published:

Predictive value of matrix metalloprotease 9 on surgical outcomes after pericardiectomy

Abstract

Background

The effects of matrix metalloproteases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs) expressions on the patients with constrictive pericarditis undergoing pericardiectomy remain unclear. This study explored the associations of MMPs and TIMPs expressions with postoperative outcomes in these patients.

Methods

Pericardial specimens were obtained during pericardiectomy from the patients with constrictive pericarditis. The levels of MMP1, MMP2, MMP9 and TIMP1 in pericardium were analyzed by quantitative real-time polymerase chain reaction. The enrolled patients were divided into two groups according to the optimal cutoff value of gene expression predicting postoperative complications. Postoperative outcomes were compared between the two groups. Binary logistic regression analysis was performed to determine the degree of contribution of gene expression on postoperative outcomes.

Results

A total of 22 patients and their pericardial specimens were included. The level of MMP9 was significantly associated with postoperative complications and the optimal cutoff value predicting postoperative complications was 3.67. The patients with low level of MMP9 (< 3.67) had lower incidence of postoperative complications (P = 0.002), shorter postoperative intensive care unit (P = 0.040) and hospital stay (P = 0.043) in comparison to those with high level of MMP9 (≥ 3.67). Binary logistic regression analysis showed that high level of MMP9 increased the risk of postoperative complications (OR 27.096, 95% CI 1.166–629.886, P = 0.040).

Conclusions

High level of MMP9 in the pericardium was associated with poor postoperative outcomes and was the independent risk factor of postoperative complications. The level of MMP9 could be used as a potential marker for prediction of surgical outcomes.

Peer Review reports

Introduction

Constrictive pericarditis is a rare disease caused by pericardial inflammation, fibrosis and inelasticity [1]. The etiology of constrictive pericarditis is various in different areas. Most cases in Europe and North America are idiopathic or related to prior cardiac surgery or chest irradiation, while tuberculosis is the most common cause in developing counties [2, 3]. Constrictive pericarditis is chronic and progressive in most cases, and leads to diastolic heart failure with poor quality of life and prognosis [4]. The treatment approaches of constrictive pericarditis are limited. Palliative treatment such as diuretic therapy only reduces symptoms temporarily in chronic cases, and surgical pericardiectomy is the only definitive treatment to relieve the pericardial constriction [5, 6]. However, pericardiectomy is associated with high incidence of postoperative complications and in-hospital mortality [7, 8].

Matrix metalloproteases (MMPs) are a large family of zinc dependent endopeptidases that can degrade almost every component of the extracellular matrix (ECM), and the enzymatic activity of MMPs can be blocked by tissue inhibitors of metalloproteinases (TIMPs) through binding to the active site of MMPs [9]. Abnormal expressions of MMPs and TIMPs are involved in a variety of pathological conditions, including inflammation and fibrosis [10]. In addition, the levels of MMPs have been reported to be associated with surgical outcomes and could be potential biomarkers predicting postoperative complications [11,12,13]. However, the roles of MMPs and TIMPs in the patients with constrictive pericarditis undergoing pericardiectomy have not been investigated. This study aimed to explore the effects of MMPs and TIMPs expressions on postoperative outcomes in those patients.

Methods

Study population

The pericardial specimens were obtained during pericardiectomy from the patients with constrictive pericarditis in our department between January 2018 and November 2019. The tissue specimens were collected from the pericardium over the left ventricle and the size was 0.5 cm by 0.5 cm. A total of 22 specimens were successfully collected from the patients. We retrospectively reviewed the records of these patients and their characteristics including demographic, preoperative and outcomes data were extracted from the hospital electronic medical records system. The study protocol was approved by the Institutional Review Board of Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine (ID of ethics approval: 20160830) and written patient informed consent was obtained.

Interventions and outcomes

The preoperative diagnosis of constrictive pericarditis mainly depended on the clinical symptoms, echocardiography, chest enhanced computed tomography and central venous pressure (CVP). Pericardiectomy was routinely performed by median sternotomy in all patients without the use of cardiopulmonary bypass. The extent of pericardiectomy included at least the anterolateral pericardium between the two phrenic nerves, the basal pericardium over the diaphragmatic surface, the pericardium on the great arteries and the pericardium from superior vena cava-right atrium junction to inferior vena cava-right atrium junction [14].

The primary outcome was the incidence of postoperative complications which were defined as the comorbidities that occurred after surgery but did not exist before. Second outcomes were postoperative intensive care unit (ICU) stay, postoperative hospital stay and in-hospital mortality.

Specimens analysis

The expressions of MMP1, MMP2, MMP9 and TIMP1 mRNA were analyzed by quantitative real-time polymerase chain reaction (qRT-PCR) using Hieff UNICON® qPCR SYBR Green Master Mix (YISHEHG, Shanghai, China). GADPH mRNA was utilized as the endogenous control. Total RNA was isolated using Trizol reagent (Invitrogen) and complementary DNA was synthesized using Hifair® II 1st Strand cDNA Synthesis Kit (YISHEHG, Shanghai, China). Specific primers used for qRT-PCR assays were 5′-GGGAGATCATCGGGACAACTC-3′, 5′-GGGCCTGGTTGAAAAGCAT-3′ for MMP1; 5′-TGATCTTGACCAGAATACCATCGA-3′, 5′- GGCTTGCGAGGGAAGAAGTT -3′ for MMP2; 5′-GTGCTGGGCTGCTGCTTTGCTG-3′, 5′-GTCGCCCTCAAAGGTTTGGAAT-3′ for MMP9; 5′-CTTCTGGCATCCTGTTGTTG-3′, 5′-AGAAGGCCGTCTGTGGGT-3′ for TIMP1; 5′-TGCACCACCAACTGCTTAGC-3′, 5′-GGCATGGACTGTGGTCATGAG-3′ for GADPH.

Statistical analysis

The relative expressions of target genes were calculated by ΔΔCT method. The fold change in gene expression was calculated as 2−ΔΔCT. The patients were first divided into two groups according to postoperative complications. The measurement data and the enumeration data were statistically analyzed with the Mann–Whitney U test and the Fisher exact test, respectively. The receiver operating characteristic (ROC) curve and Youden Index were used to determine the cutoff values of MMPs or TIMPs predicting postoperative complications. Then, the patients were regrouped according to the cutoff value. Binary logistic regression analyses were performed to determine the correlation between MMPs/TIMPs and postoperative complications. Confounders were included, based on univariate analysis. These analyses were conducted using SPSS software (version 24.0, IBM SPSS Inc. United States). Statistical significance was set at P value < 0.05 (all P values presented were two-sided).

Results

Group division

A total of 22 patients and corresponding pericardial specimens were enrolled in this study. A total of 12 postoperative complications were observed in 10 (45.5%) patients (Additional file 1: Table S1), with one patient dying of cardiac failure on the fifth postoperative day. The most common complication was low cardiac output (7 cases), followed by cardiac failure (2 cases), acute kidney injury (2 cases) and pulmonary embolism (1 case). The patients were classified into two groups according to postoperative complications and we found that the patients with postoperative complications have higher level of MMP9 than those without postoperative complications (P = 0.002) (Table 1).

Table 1 Expressions of MMPs and TIMP1 in the constrictive pericardium based on the postoperative complications

The result of ROC curve also presented the significant correlation between MMP9 and postoperative complications. The area under curve (AUC) was 0.883 (95% CI 0.739–1.000, P = 0.002) (Fig. 1). The Youden Index was calculated and the result showed the optimal cutoff value of MMP9 level was 3.67 (sensitivity 90.0%, specificity 83.3%, Youden Index 0.733). According to the cutoff value, the patients were divided into the MMP9-low group (MMP9 < 3.67) and the MMP9-high group (MMP9 ≥ 3.67). There were no statistical differences between the two groups for gender, age, etiology, body mass index, cardiac functional class, preoperative CVP and other baseline characteristics (Table 2).

Fig. 1
figure 1

The area under the ROC curve for postoperative complications determined using the level of MMP9. ROC, receiver operating characteristic; AUC, area under the curve

Table 2 Baseline characteristics of study patients based on the level of MMP9 in the constrictive pericardium

Postoperative outcomes

The comparison of outcomes between the MMP9-low group and the MMP9-high group was shown in Table 3. Compared with the MMP9-high group, the MMP9-low group had significantly lower incidence of postoperative complications (9.1% vs. 81.8%, P = 0.002). In addition, the MMP9-low group had shorter postoperative ICU stay (P = 0.040) and postoperative hospital stay (P = 0.043) in comparison to the MMP9-high group. One in-hospital death occurred in the MMP9-high group with no mortality in the MMP9-low group.

Table 3 Postoperative outcomes of study patients stratified by the level of MMP9 in the constrictive pericardium

Multivariate analysis

In order to determine the degree of contribution of MMP9 on postoperative outcomes, the statistically significant factors in univariate analysis were included in multivariate regression model (Additional file 1: Table S2). Binary logistic regression analysis demonstrated that compared with the MMP9-low group, the risk for postoperative complications significantly increased in the MMP9-high group (OR 27.096, 95% CI 1.166–629.886, P = 0.040) (Table 4).

Table 4 Effect of the level of MMP9 in the constrictive pericardium on postoperative outcomes

Discussion

Surgical pericardiectomy is the curative treatment for constrictive pericarditis and is strongly suggested in the patients with progressive symptoms after medical therapy [15]. Despite being considered effective, pericardiectomy is associated with non-negligible risk of postoperative complications and in-hospital mortality. There have been a number of studies exploring the risk factors of poor outcomes after pericardiectomy, and the results showed that surgical outcomes depended heavily on the functional status of patients, the etiology of constrictive pericarditis, the timing of surgical intervention, the extent of pericardial resection and the need for cardiopulmonary bypass [16,17,18,19,20]. However, most of the studies represented single-center and retrospective experiences. Tzani, A. et al. performed a meta-analysis to systematically review the clinical outcomes of patients undergoing pericardiectomy for constrictive pericarditis [21]. This meta-analysis included 27 eligible studies and 2114 patients. The results highlighted that radiation and after-cardiac surgery patients had a significantly high mortality risk, and that surgical intervention should be considered before advanced symptoms occurred, and that total pericardiectomy without the use cardiopulmonary bypass was preferred.

However, the association between abnormal gene expressions in pericardium and postoperative outcomes has not been investigated. MMPs are well-known mediators of cardiovascular pathophysiology. The changes of MMPs expressions are directly associated with inflammation and the subsequent formation of fibrosis, a key pathological process of many diseases including constrictive pericarditis [22, 23]. This study first evaluated the associations of MMPs expressions in pericardial tissues with postoperative outcomes in patients undergoing pericardiectomy for constrictive pericarditis. We found a positive correlation between the level of MMP9 and postoperative outcomes. The results showed that overexpression of MMP9 could increase the incidence of postoperative complications and prolong the length of postoperative ICU and hospital stay. Multivariate analysis further verified that high level of MMP9 in the pericardium was the independent risk factor of postoperative complications. It was worth mentioning that the predictive value for postoperative complications was significant when the cutoff value of MMP9 level was 3.67, with 90.0% sensitivity and 83.3% specificity.

The major postoperative complication in this study was low cardiac output which mainly resulted from the presence of myocardial fibrosis and atrophy. Previous studies indicated that MMP9 played an important role in tissue remodeling related to cardiac function because of its central role in inflammation and elastin degradation which led to decreased elasticity [23, 24]. In addition, enhanced activation of MMP9 was associated with the state of active myocardial remodeling and could be a potentially useful marker for the identification of patients at risk for heart failure development and poor outcome [25].

There are some limitations that should be pointed out. Firstly, as this is a single-center retrospective study, the selection bias is inevitable. Secondly, the sample size is small, which may interfere in our findings. It is difficult to increase sample size in a small period of time due to the low incidence of constrictive pericarditis. Finally, lacking of normal tissue analysis may also influence our findings. Therefore, further studies with large amounts of samples were required to verify our preliminary results.

Conclusions

Our study has shown that although effective at relieving symptoms of constrictive pericarditis, pericardiectomy was associated with high incidence of postoperative complications. Increased expression of MMP9 in the pericardium was significantly associated with poor postoperative outcomes and was the independent risk factor of postoperative complications. The level of MMP9 could be used as a potential marker for prediction of surgical outcomes.

Availability of data and materials

The datasets used during the current study are available from the corresponding author on reasonable request.

Abbreviations

MMPs:

Matrix metalloproteases

TIMPs:

Tissue inhibitors of metalloproteinases

CVP:

Central venous pressure

ICU:

Intensive care unit

qRT-PCR:

Quantitative real-time polymerase chain reaction

ROC:

Receiver operating characteristic

AUC:

Area under curve

References

  1. Welch TD, Oh JK. Constrictive pericarditis. Cardiol Clin. 2017;35(4):539–49.

    Article  Google Scholar 

  2. Welch TD. Constrictive pericarditis: diagnosis, management and clinical outcomes. Heart (British Cardiac Society). 2018;104(9):725–31.

    Google Scholar 

  3. Tuck BC, Townsley MM. Clinical update in pericardial diseases. J Cardiothorac Vasc Anesth. 2019;33(1):184–99.

    Article  Google Scholar 

  4. Miranda WR, Oh JK. Constrictive pericarditis: a practical clinical approach. Prog Cardiovasc Dis. 2017;59(4):369–79.

    Article  Google Scholar 

  5. Khandaker MH, Schaff HV, Greason KL, et al. Pericardiectomy vs medical management in patients with relapsing pericarditis. Mayo Clin Proc. 2012;87(11):1062–70.

    Article  Google Scholar 

  6. Syed FF, Schaff HV, Oh JK. Constrictive pericarditis–a curable diastolic heart failure. Nat Rev Cardiol. 2014;11(9):530–44.

    Article  Google Scholar 

  7. Gopaldas RR, Dao TK, Caron NR, et al. Predictors of in-hospital complications after pericardiectomy: a nationwide outcomes study. J Thorac Cardiovasc Surg. 2013;145(5):1227–33.

    Article  Google Scholar 

  8. Liu VC, Fritz AV, Burtoft MA, et al. Pericardiectomy for constrictive pericarditis: analysis of outcomes. J Cardiothorac Vasc Anesth. 2021;S1053–0770(21):00115–24.

    Google Scholar 

  9. Visse R, Nagase H. Matrix metalloproteinases and tissue inhibitors of metalloproteinases: structure, function, and biochemistry. Circ Res. 2003;92(8):827–39.

    Article  CAS  Google Scholar 

  10. Amalinei C, Caruntu ID, Giusca SE, et al. Matrix metalloproteinases involvement in pathologic conditions. Roman J Morphol Embryol. 2010;51(2):215–28.

    Google Scholar 

  11. Reis ST, Leite KRM, Viana NI, et al. MMP9 overexpression is associated with good surgical outcome in children with UPJO: preliminary results. BMC Urol. 2016;16(1):44.

    Article  Google Scholar 

  12. Garcia-Prieto CF, Gil-Ortega M, Vega-Martin E, et al. Beneficial effect of bariatric surgery on abnormal MMP-9 and AMPK activities: potential markers of obesity-related CV risk. Front Physiol. 2019;10:553.

    Article  Google Scholar 

  13. Moreno-Ajona D, Irimia P, Rodriguez JA, et al. Elevated circulating metalloproteinase 7 predicts recurrent cardiovascular events in patients with carotid stenosis: a prospective cohort study. BMC Cardiovasc Disord. 2020;20(1):93.

    Article  CAS  Google Scholar 

  14. Huang J, Zhu P, Zhong F, et al. Clinical significance of pulse index contour continuous cardiac output monitoring in patients with constrictive pericarditis undergoing pericardiectomy. Interact Cardiovasc Thorac Surg. 2020;31(3):364–8.

    Article  Google Scholar 

  15. Depboylu BC, Mootoosamy P, Vistarini N, et al. Surgical treatment of constrictive pericarditis. Tex Heart Inst J. 2017;44(2):101–6.

    Article  Google Scholar 

  16. Fang LK, Yu GC, Huang JP, et al. Predictors of postoperative complication and prolonged intensive care unit stay after complete pericardiectomy in tuberculous constrictive pericarditis. J Cardiothoracic Surg. 2020;15(1).

  17. Nishimura S, Izumi C, Amano M, et al. Long-term clinical outcomes and prognostic factors after pericardiectomy for constrictive pericarditis in a Japanese population. Circ J. 2017;81(2):206–12.

    Article  Google Scholar 

  18. Murashita T, Schaff HV, Daly RC, et al. Experience with pericardiectomy for constrictive pericarditis over eight decades. Ann Thorac Surg. 2017;104(3):742–50.

    Article  Google Scholar 

  19. Choi MS, Jeong DS, Oh JK, et al. Long-term results of radical pericardiectomy for constrictive pericarditis in Korean population. J Cardiothorac Surg. 2019;14(1):32.

    Article  Google Scholar 

  20. Rupprecht L, Putz C, Florchinger B, et al. Pericardiectomy for constrictive pericarditis: an institution’s 21 years experience. Thorac Cardiovasc Surg. 2018;66(8):645–50.

    Article  Google Scholar 

  21. Tzani A, Doulamis IP, Tzoumas A, et al. Meta-analysis of population characteristics and outcomes of patients undergoing pericardiectomy for constrictive pericarditis. Am J Cardiol. 2021;146:120.

    Article  Google Scholar 

  22. Merkle M, Ribeiro A, Sauter M, et al. Effect of activation of viral receptors on the gelatinases MMP-2 and MMP-9 in human mesothelial cells. Matrix Biol. 2010;29(3):202–8.

    Article  CAS  Google Scholar 

  23. Cabral-Pacheco GA, Garza-Veloz I, Castruita-De la Rosa C, et al. The roles of matrix metalloproteinases and their inhibitors in human diseases. Int J Mol Sci. 2020;21(24):9739.

    Article  CAS  Google Scholar 

  24. Lindsey ML. Assigning matrix metalloproteinase roles in ischaemic cardiac remodelling. Nat Rev Cardiol. 2018;15(8):471–9.

    Article  Google Scholar 

  25. Radosinska J, Barancik M, Vrbjar N. Heart failure and role of circulating MMP-2 and MMP-9. Panminerva Med. 2017;59(3):241–53.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable

Funding

No funding.

Author information

Authors and Affiliations

Authors

Contributions

LF and GC contributed to the conception and design of the work. LF and GY contributed to data analysis and manuscript editing. WY and BY contributed to data acquisition, statistical analysis and interpretation of the data. LF and GC contributed to the revision of the manuscript. All authors have approved the final draft of the manuscript.

Corresponding author

Correspondence to Gang Chen.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the Institutional Review Board of Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine (ID of ethics approval: 20160830) and written patient informed consent was obtained.

Consent for publication

Not applicable.

Competing interests

All authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Supplemental Table.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fang, L., Yu, W., Yu, G. et al. Predictive value of matrix metalloprotease 9 on surgical outcomes after pericardiectomy. J Cardiothorac Surg 17, 50 (2022). https://doi.org/10.1186/s13019-022-01796-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13019-022-01796-9

Keywords