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. 2021 Nov 4;19:78. doi: 10.1186/s12959-021-00332-4

Fibrinolytic markers could be useful predictors of severity in patients with pulmonary arterial hypertension: a retrospective study

Makoto Shoji 1,, Taiju Matsui 1, Hideaki Tanaka 1, Kosuke Nomura 1, Hiroaki Tsujita 1, Yusuke Kodama 1, Shinji Koba 1, Youichi Kobayashi 1, Toshiro Shinke 1
PMCID: PMC8567565  PMID: 34736457

Abstract

Background

The severity of pulmonary arterial hypertension (PAH) is classified based on mean pulmonary artery pressure (mPAP) levels. However, other markers have not been elucidated. Fibrinolytic markers, such as total plasminogen activator inhibitor-1 (tPAI-1) and thrombomodulin (TM), are known to reflect arterial endothelial function. However, the relationship between serum tPAI-1, TM and pulmonary circulation has not been completely determined.

Methods

This study included 100 consecutive patients (38 men), with a mean age of 68.9 ± 12.0 years, with cardiac diseases who underwent right heart catheterization. Serum coagulation and fibrinolytic marker levels were measured.

Results

The average mPAP value was 25.1 ± 13.1 mmHg for all patients. The mPAP levels revealed a significant positive correlation with serum tPAI-1 (ρ = 0.24, p = 0.042) and uric acid (ρ = 0.29, p = 0.0031) levels. In the group with mPAP levels less than 25 mmHg (n = 58, ave. 17.3 ± 4.3 mmHg), mPAP levels showed a significant positive correlation with serum tPA-1 (ρ = 0.34, p = 0.034) and TM (ρ = 0.34, p = 0.043) values. The mean tPAI-1 (29.8 ± 23.3 ng/ml, p = 0.047) and uric acid (5.7 ± 1.8 mg/dl, p = 0.026) levels were significantly less in those with lower mPAP levels. A multivariate analysis revealed that tPAI-1 alone was a significant independent characteristic marker of PAH (odds ratio 1.02, 95%CI 1.000–1.036, p = 0.034).

Conclusions

These results indicate that serum tPAI-1 and TM may be useful predictors of severity, similar to mPAP in patients with PAH. They could be beneficial in predicting PAH among patients in the early stage of the disease.

Keywords: tPAI-1, Thrombomodulin, Pulmonary artery hypertension

Background

The severity of pulmonary artery hypertension (PAH) is classified based on the mean pulmonary artery pressure (mPAP) levels that are evaluated by right heart catheterization (RHC). It is a fetal disease that is reported to have a poor prognosis despite the development in medication [1, 2]. The mPAP has been established as an accurate prognostic marker for PAH in previous reports [3, 4]. However, the patients require RHC to evaluate mPAP, which is an invasive procedure. Thus, non-invasive and alternative predictors for prognosis are needed.

The fibrinolytic marker, total plasminogen activator inhibitor-1 (tPAI-1) is a major inhibitor of plasminogen activator in plasma. It is stored in platelets and has several sources, including the vascular endothelium [5]. tPAI-1 is known to be associated with a proinflammatory atherosclerotic risk. Moreover, there are reports that tPAI-1 is independently associated with the degree of intima media thickness (IMT) [6, 7]. Thrombomodulin (TM) has an anticoagulant effect that is activating protein C, and this is corroborated by reports about elevated blood levels of TM in patients with acute pulmonary embolism [8, 9]. It is also known that TM is metabolized by the liver and excreted through the kidneys, and its level is elevated in a variety of diseases [10].

These fibrinolytic markers, tPAI-1 and TM, are known to reflect arterial endothelial function. However, the relationship between serum tPAI-1, TM and pulmonary circulation has not been completely elucidated. In the present study, we aimed to evaluate if tPAI-1 and TM could be used as predictors of severity in patients with PAH.

Methods

We retrospectively reviewed the medical records of all consecutive patients who underwent RHC to assess cardiac function in Showa University Hospital between January 1, 2012, and March 31, 2018. This study was approved by the ethics committee of Showa University School of Medicine.

The details about patient history, physical examination, blood investigations, and echocardiography were evaluated. Patients with the following diseases that could affect serum tPAI-1 and TM levels were excluded from the study: (1) those on hemodialysis [11]; (2) those currently under treatment for malignant neoplasms; (3) those with hepatic failure [12, 13]; (4) those with congestive heart failure (CHF) NYHA grade III or more.

Blood samples were collected from patients at admission before RHC was performed. Fibrinolytic and coagulation marker levels, including tPAI-1, TM, D-dimer, thrombin-antithrombin complex (TAT), plasmin-α2 plasmin inhibitor complex (PIC), and prothrombin fragment 1 + 2 (PTF 1 + 2) were also measured. The tPAI-1 level was measured using the latex agglutination test (JCA-BM9130, JEOL Ltd., Tokyo, Japan). The TM level was measured using an enzyme-linked immunoassay (ELISA) kit, AP-X (Kyowa Medex Co Ltd., Tokyo, Japan) [14].

Statistical analysis

Data are reported as mean ± standard deviation. Continuous and categorical variables were compared using the Mann-Whitney U test or chi-squared test, as appropriate. We performed Cox’s stepwise logistic regression analysis to identify significant independent characteristic markers that were related to mPAP. We then calculated the odds ratios (ORs) and 95% confidence intervals (CIs). Correlation analysis was performed using Spearman’s rank correlation. We considered p values less than 0.05 to be statistically significant. JMP software version 14.0 (SAS, Cary, NC, USA) was used for the statistical analysis.

Results

We reviewed the medical records of 111 consecutive patients who underwent RHC. Of these, 4 were excluded because of ongoing hemodialysis, 3 for currently undergoing treatment of a malignant neoplasm, 2 for hepatic failure, and 2 for worsening CHF (NYHA grade III or more). The remaining 100 patients were included in the study, and their clinical characteristics are shown in Tables 1, 2.

Table 1.

Patient characteristics

Total Patients
N 100
Baseline characteristics
 Age (years) 68.9 ± 12.0
 Male 38 (38%)
 BMI 21.8 ± 4.2
 Hypertension 42 (42%)
 Diabetes mellitus 11 (11%)
 Heart failure 30 (30%)
 Collagen diseases 21 (21%)
 Valvular diseases 11 (11%)
 Pulmonary embolism 11 (11%)
 Congenital heart diseases 9 (9%)
 Respiratory diseases 7 (7%)
 Ischemic heart diseases 6 (6%)
 Idiopathic pulmonary hypertension 5 (5%)
 Taking anticoagulants 41 (41%)
Hemodynamics
 Mean pulmonary artery pressure (mmHg) 25.1 ± 13.2
 Pulmonary capillary wedge pressure (mmHg) 13.4 ± 9.0
 Right ventricular pressure (mmHg) 40.7 ± 20.4
Echocardiography
 Ejection Fraction (%) 56.3 ± 12.8
 Right Ventricular systolic pressure (mmHg) 51.2 ± 21.5
 BNP (pg/ml) 464.8 ± 1367
 Uric Acid (mg/dl) 6.1 ± 1.9
 Estimated GFR (ml/min) 61.4 ± 21.8

Data are presented as mean ± SD or n (%)

BMI Body mass index

Table 2.

Coagulation and Fibrinolytic markers

Makers
 D-dimer (μg/ml) 3.24 ± 11.5
 Thrombomodulin (FU/ml) 3.0 ± 1.3
 tPAI-1 (ng/ml) 38.0 ± 39.8
 TAT (μg/l) 6.33 ± 11.1
 PIC (μg/ml) 1.5 ± 2.8
 PT F1 + 2 (pmol/l) 258 ± 217

Data are presented as mean ± SD or n (%)

tPAI-1 Total plasminogen activator inhibitor-1; TAT Thrombin antithrombin complex, PIC plasmin-α plasmin inhibitor complex, PT F1 + 2 Prothrombin-fragment 1 + 2

The mean age of the participants was 68.9 ± 12.0 years, and thirty-eight patients (38%) were men. The underlying conditions comprised heart failure in 30 patients (30%), collagen diseases in 21 (21%), valvular diseases in 11 (11%), pulmonary embolism in 11 (11%), congenital heart diseases in 9 (9%), respiratory diseases in 7 (7%), ischemic heart diseases in 6 (6%), and idiopathic pulmonary hypertension in 5 (5%) (Table 1).

The average mPAP value was 25.1 ± 13.1 mmHg. The mPAP values had significant positive correlation with serum tPAI-1 (ρ = 0.24, p = 0.042) and uric acid (ρ = 0.29, p = 0.0031) levels (Table 1, Fig. 1). After categorizing the patients based on their mPAP values, those in the group with average mPAP values less than 25 mmHg (17.3 ± 4.3 mmHg) were observed to have a significant positive correlation between serum tPA-1 (ρ = 0.34, p = 0.034) and TM (ρ = 0.34, p = 0.043) levels and mPAP values (Fig. 2).

Fig. 1.

Fig. 1

Relationship between the mPAP levels and serum markers. A significant positive correlation is noted between the mPAP levels with serum tPAI-1 and uric acid values

Fig. 2.

Fig. 2

Relationship between the mPAP and serum markers in those with levels less than 25 mmHg. The mPAP levels had significant positive correlation with serum tPAI-1 and TM values

Both mean tPAI-1 (29.8 ± 23.3 ng/ml, p = 0.047) and uric acid (5.7 ± 1.8 mg/dl, p = 0.026) levels were significantly less in the group with lower mPAP values. A multivariate analysis, adjusted for age, gender, and BMI, revealed that tPAI-1 level alone was an independent characteristic marker (odds ratio 1.02, 95%CI 1.000–1.036, p = 0.034) of the severity of PAH (Tables 3, 4).

Table 3.

Comparison of biomarkers, mPAP< 25 or not

mPAP< 25 mPAP≥25 P value
N 58 42
D-dimer 2.0 ± 2.4 4.9 ± 18 N.S.
Thrombomodulin 3.3 ± 1.3 2.6 ± 1.1 N.S.
tPAI-1 29.8 ± 23.3 49.0 ± 52.5 0.047
TAT 5.0 ± 9.2 8.1 ± 12.9 N.S.
PIC 1.2 ± 0.7 1.9 ± 4.1 N.S.
PT F1 + 2 262.7 ± 171.1 252.7 ± 260.7 N.S.
BNP 249.2 ± 294.9 752.2 ± 2024 N.S.
Uric Acid 5.7 ± 1.8 6.6 ± 2.0 0.026
Estimated GFR 63.9 ± 22.5 58.1 ± 20.4 N.S.

Table 4.

Multivariate logistic regression adjusted to age, gender, BMI

Multivariate logistic regression
OR (95% CI) P value
tPAI-1 1.02 (1.000–1.036) 0.034
UA 1.07 (0.793–1.434) N.S.

Multivariate logistic regression adjusted to age, gender, BMI

OR Odds ratio, CI Confidence interval

Discussion

The study results indicate that mPAP values have a significant positive correlation with serum tPAI-1 and uric acid levels in all enrolled patients. Among patients with mPAP values less than 25 mmHg PAP, a significant positive correlation is observed with serum tPAI-1 and TM levels. The uric acid levels revealed a lower degree of association than the tPAI-1 levels, which was found to be an independent marker in the group with lower mPAP values.

The severity of PAH in patients is indicated by the mPAP levels evaluated by RHC, which is an invasive examination. Therefore, less-invasive and reliable biomarkers that reflect the disease status accurately are desired. Serum uric acid is a traditional biomarker that reflects endothelial function and is a potential risk factor for arteriosclerotic change [15, 16]. In the present study, uric acid levels revealed a significant positive correlation with mPAP values in all enrolled patients. This result is supported by the findings in some previous studies on atherosclerosis. However, in the group with mPAP values less than 25 mmHg, uric acid levels did not show a significant association with mPAP.

According to the diagnostic criteria for PAH, an mPAP level of 25 mmHg is the cut-off value. Many clinicians focus on the preclinical stage of PAH predominantly, and the patients with mPAP levels less than 25 mmHg should be on intensive, careful follow-up because the response to treatment changes dramatically according to the state of the disease [14]. Hence, we focused our investigations in this group. The results indicate that unlike serum uric acid levels, tPAI-1 levels alone are an independent characteristic marker in the group with lower mPAP levels. Additionally, the mPAP levels reveal a significant positive association with serum tPAI-1 and TM but not uric acid levels, which means that these markers could be potential predictors of severity in patients with PAH in their early stages.

tPAI-1 is an inhibitor of plasminogen, which regulates the systemic fibrinolytic system, and the levels indicate microvascular injury due to various conditions, including diabetes mellitus [17]. It complements the activities of protein anticoagulants and endothelial-derived platelet inhibitors, such as proteins C, S, anti-thrombin III, and nitric oxide [5]. It is an endogenous defense mechanism for the prevention of atherosclerotic change, and there are some reports that the tPAI-1 levels are positively and independently associated with the degree of IMT [6, 7].

In contrast, TM is a factor that regulates the anticoagulation system by capturing thrombin and activating protein C. Once damage to endothelial cells occurs, TM expressed on endothelial cells is cleaved from the membrane, and the product is detectable in a soluble form in circulating peripheral blood. This indicates that TM can be a marker of endothelial cell damage [1820]. The mechanism in advanced PAH is speculated to involve an increased release of tPAI-1 and TM from smooth muscle and endothelial cells caused by pulmonary vascular damage. This could result in elevated serum tPAI-1 and TM levels, as indicated in the present study. Ogawa et al. suggested that thrombin modulates pulmonary circulation through activation of the Akt pathway in smooth muscle cells among patients with PAH and chronic thromboembolic pulmonary hypertension (CTEPH) [21]. It also meant that TM levels could be altered due to endothelial dysfunction in the pulmonary artery. However, the concentration of circulating serum TM in peripheral blood would be saturated and the rest would be recruited by the kidney. In fact, there were no significant differences in the concentration of TM between the groups with mPAP levels less than or more than 25 mmHg.

We have demonstrated that mPAP levels have a significant positive correlation with serum tPAI-1 and TM but not uric acid values, which means that these markers could be potential predictors of severity in patients with PAH, especially in their early stages with mPAP levels less than 25 mmHg.

This study has few limitations. First, this study was retrospective in nature with its inherent defects; therefore, a prospective study is needed in the future to confirm the results. Second, the population size is small, and the patients were from heterogeneous backgrounds. A larger sample size that includes a larger cohort of severe cases would allow a more reliable statistical evaluation. Third, not plasma but serum was used to evaluate tPAI-1 and other markers in this study based on previous study [14]. Serum is the supernatant of clotted blood where platelets have released their contents. Hence there is a possibility that the value of tPAI-1 is overestimated since it is a component of the platelet releasate.

Conclusion

These results reveal that serum tPAI-1 and TM may be useful predictors that are similar to mPAP in patients with PAH. They could be beneficial in predicting severity in patients with PAH, especially in their early stages.

Authors’ information (optional)

Showa University School of Medicine, Department of Medicine, Division of Cardiology.

Abbreviations

BMI

Body mass index

CHF

Congestive heart failure

CI

Confidence intervals

CTEPH

Chronic thromboembolic pulmonary hypertension

ELISA

Enzyme-linked immune sorbent assay

IMT

Intima media thickness

OR

Odds ratio

PIC

Plasmin-α2 plasmin inhibitor complex

PT F1 + 2

Prothrombin-fragment 1 + 2

RHC

Right heart catheterization

SD

Standard deviation

TAT

Thrombin antithrombin

tPAI-1

Total plasminogen activator inhibitor-1

TM

Thrombomodulin

Authors’ contributions

M.S.: Design of the work, Drafting the manuscript. T.M.: Interpretation of data. H.T.: Interpretation of data. K.N.: Interpretation of data. H.T.: Interpretation of data. S.K.: Manuscript Drafting. Y.K.: Interpretation of data. T.S.: Manuscript Editing. The author(s) read and approved the final manuscript.

Funding

Not Applicable.

Declarations

Ethics approval and consent to participate

This manuscript was performed in accordance with Helsinki declaration. All patients’ data were kept confidential. This study was approved by Showa University School of Medicine’s ethical committee.

Consent for publication

The identity of the participants had not transpired.

Competing interests

Not Applicable.

Footnotes

Publisher’s Note

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

References

  • 1.Galiè N, Humbert M, Vachiery JL, Gibbs S, Lang I, Torbicki A, Simonneau G, Peacock A, Vonk Noordegraaf A, Beghetti M, Ghofrani A, Gomez Sanchez MA, Hansmann G, Klepetko W, Lancellotti P, Matucci M, McDonagh T, Pierard LA, Trindade PT, Zompatori M, Hoeper M, ESC Scientific Document Group 2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: The Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT) Eur Heart J. 2016;37(1):67–119. doi: 10.1093/eurheartj/ehv317. [DOI] [PubMed] [Google Scholar]
  • 2.Tamura Y, Kumamaru H, Satoh T, Miyata H, Ogawa A, Tanabe N, Hatano M, Yao A, Abe K, Tsujino I, Fukuda K, Kimura H, Kuwana M, Matsubara H, Tatsumi K, Japan PH Registry (JAPHR) Network Effectiveness and outcome of pulmonary arterial hypertension-specific therapy in Japanese patients with pulmonary arterial hypertension. Circ J. 2017;82(1):275–282. doi: 10.1253/circj.CJ-17-0139. [DOI] [PubMed] [Google Scholar]
  • 3.Galiè N, Channick RN, Frantz RP, Grünig E, Jing ZC, Moiseeva O, Preston IR, Pulido T, Safdar Z, Tamura Y, McLaughlin VV. Risk stratification and medical therapy of pulmonary arterial hypertension. Eur Respir J. 2019;53(1):1801889. doi: 10.1183/13993003.01889-2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ogawa A, Ejiri K, Matsubara H. Long-term patient survival with idiopathic/heritable pulmonary arterial hypertension treated at a single center in Japan. Life Sci. 2014;118(2):414–419. doi: 10.1016/j.lfs.2014.01.077. [DOI] [PubMed] [Google Scholar]
  • 5.Vaughan DE. PAI-1 and atherothrombosis. J Thromb Haemost. 2005;3(8):1879–1883. doi: 10.1111/j.1538-7836.2005.01420.x. [DOI] [PubMed] [Google Scholar]
  • 6.Carratala A, Martinez-Hervas S, Rodriguez-Borja E, Benito E, Real JT, Saez GT, Carmena R, Ascaso JF. PAI-1 levels are related to insulin resistance and carotid atherosclerosis in subjects with familial combined hyperlipidemia. J Investig Med. 2018;66(1):17–21. doi: 10.1136/jim-2017-000468. [DOI] [PubMed] [Google Scholar]
  • 7.Sakata T, Mannami T, Baba S, Kokubo Y, Kario K, Okamoto A, Kumeda K, Ohkura N, Katayama Y, Miyata T, Tomoike H, Kato H. Potential of free-form TFPI and PAI-1 to be useful markers of early atherosclerosis in a Japanese general population (the Suita study): association with the intimal-medial thickness of carotid arteries. Atherosclerosis. 2004;176(2):355–360. doi: 10.1016/j.atherosclerosis.2004.05.017. [DOI] [PubMed] [Google Scholar]
  • 8.Li YH, Shi GY, Wu HL. The role of thrombomodulin in atherosclerosis: from bench to bedside. Cardiovasc Hematol Agents Med Chem. 2006;4(2):183–187. doi: 10.2174/187152506776369953. [DOI] [PubMed] [Google Scholar]
  • 9.Chen PS, Wang KC, Chao TH, Chung HC, Tseng SY, Luo CY, Shi GY, Wu HL, Li YH. Recombinant Thrombomodulin exerts anti-autophagic action in endothelial cells and provides anti-atherosclerosis effect in apolipoprotein E deficient mice. Sci Rep. 2017;7(1):3284. doi: 10.1038/s41598-017-03443-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Takano S, Kimura S, Ohdama S, Aoki N. Plasma thrombomodulin in health and diseases. Blood. 1990;76(10):2024–2029. doi: 10.1182/blood.V76.10.2024.2024. [DOI] [PubMed] [Google Scholar]
  • 11.Mizutani M, Yuzawa Y, Maruyama I, Sakamoto N, Matsuo S. Glomerular localization of thrombomodulin in human glomerulonephritis. Lab Investig. 1993;69(2):193–202. [PubMed] [Google Scholar]
  • 12.Takatori M, Iwabuchi S, Ro S, Murayama M, Maeyama S, Uchikoshi T, Nakano M, Ishii H. Increased serum levels and sinusoidal expression of thrombomodulin in acute liver damage. Thromb Res. 1999;93(3):113–120. doi: 10.1016/S0049-3848(98)00167-4. [DOI] [PubMed] [Google Scholar]
  • 13.Biguzzi E, Franchi F, Bucciarelli P, Colombo M, Romeo R. Endothelial protein C receptor plasma levels increase in chronic liver disease, while thrombomodulin plasma levels increase only in hepatocellular carcinoma. Thromb Res. 2007;120(2):289–293. doi: 10.1016/j.thromres.2006.09.009. [DOI] [PubMed] [Google Scholar]
  • 14.Ochi A, Adachi T, Inokuchi K, Ogawa K, Nakamura Y, Chiba Y, Kawasaki S, Onishi Y, Onuma Y, Munetsugu Y, Ito H, Onuki T, Minoura Y, Watanabe N, Kawamura M, Asano T, Kobayashi Y. Effects of aging on the coagulation fibrinolytic system in outpatients of the cardiovascular department. Circ J. 2016;80(10):2133–2140. doi: 10.1253/circj.CJ-16-0530. [DOI] [PubMed] [Google Scholar]
  • 15.Iribarren C, Folsom AR, Eckfeldt JH, McGovern PG, Nieto FJ. Correlates of uric acid and its association with asymptomatic carotid atherosclerosis: the ARIC study. Atherosclerosis Risk in Communities. Ann Epidemiol. 1996;6(4):331–340. doi: 10.1016/S1047-2797(96)00052-X. [DOI] [PubMed] [Google Scholar]
  • 16.Song M, Li N, Yao Y, Wang K, Yang J, Cui Q, Geng B, Chen J, Wang Y, Cheng W, Zhou Y. Longitudinal association between serum uric acid levels and multiterritorial atherosclerosis. J Cell Mol Med. 2019;23(8):4970–4979. doi: 10.1111/jcmm.14337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Adly AA, Elbarbary NS, Ismail EA, Hassan SR. Plasminogen activator inhibitor-1 (PAI-1) in children and adolescents with type 1 diabetes mellitus: relation to diabetic micro-vascular complications and carotid intima media thickness. J Diabetes Complicat. 2014;28(3):340–347. doi: 10.1016/j.jdiacomp.2014.01.011. [DOI] [PubMed] [Google Scholar]
  • 18.Abe H, Okajima K, Okabe H, Takatsuki K, Binder BR. Granulocyte proteases and hydrogen peroxide synergistically inactivate thrombomodulin of endothelial cells in vitro. J Lab Clin Med. 1994;123(6):874–881. [PubMed] [Google Scholar]
  • 19.Ishii H, Uchiyama H, Kazama M. Soluble thrombomodulin antigen in conditioned medium is increased by damage of endothelial cells. Thromb Haemost. 1991;65(05):618–623. doi: 10.1055/s-0038-1648199. [DOI] [PubMed] [Google Scholar]
  • 20.Boffa MC, Karochkine M, Bérard M. Plasma thrombomodulin as a marker of endothelium damage. Nouv Rev Fr Hematol. 1991;33(6):529–530. [PubMed] [Google Scholar]
  • 21.Ogawa A, Firth AL, Ariyasu S, Yamadori I, Matsubara H, Song S, et al. Thrombin-mediated activation of Akt signaling contributes to pulmonary vascular remodeling in pulmonary hypertension. Physiol Rep. 2013;1(7):e00190. doi: 10.1002/phy2.190. [DOI] [PMC free article] [PubMed] [Google Scholar]

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