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. Author manuscript; available in PMC: 2010 Jun 1.
Published in final edited form as: J Thromb Haemost. 2009 Feb 18;7(5):731–735. doi: 10.1111/j.1538-7836.2009.03325.x

Protein Z-dependent protease inhibitor and protein Z in peripheral arterial disease patients

F SOFI *,, F CESARI *, Y TU , G PRATESI §, R PULLI §, C PRATESI §, G F GENSINI , R ABBATE *, G J BROZE JR
PMCID: PMC2879329  NIHMSID: NIHMS202564  PMID: 19228280

Summary

Introduction

Protein Z is a vitamin K-dependent protein that serves as a cofactor for the inhibition of activated factor X by the serpin protein Z-dependent protease inhibitor (ZPI). Protein Z plasma levels have been shown to be reduced in patients with peripheral arterial disease (PAD), but ZPI levels have not yet been reported. The aim of this study was to more fully assess the protein Z–ZPI system in individuals with atherosclerosis selected by the presence of symptomatic PAD.

Materials and methods

Protein Z and ZPI levels were determined in 95 PAD patients (73 males; 22 females) [median age: 73 years (range, 50–86 years)] and in 190 controls comparable for age and gender. Protein Z was measured using a commercial immunoassay, and ZPI was measured with a homemade immunoassay and a functional assay.

Results

Protein Z antigen, ZPI antigen and ZPI function were found to be significantly lower in PAD patients with respect to controls [protein Z, median 72.5% (range: 3.4–123.7%) vs. 90.7% (range: 32.1–203.2%), P < 0.0001; ZPI antigen, 86.1% (range: 25.1–149.5%) vs. 93.2% (range: 48.9–171.3%), P = 0.004; ZPI function, 83.5% (range: 21.1–135.2%) vs. 97.2% (range: 50.5–175.5%), P < 0.0001]. The lowest tertiles of protein Z antigen [odds ratio (OR) 5.4, 95% confidence interval (CI) 2.2–13.5, P < 0.0001] and ZPI function (OR 2.4, 95% CI 1.1–5.5, P = 0.03) were associated with PAD on multivariate analysis after adjustment for age, gender, and traditional cardiovascular risk factors. A significant inverse relationship was also observed between protein Z and ZPI levels and the number of traditional cardiovascular risk factors and the clinical severity of disease (Fontaine stage).

Conclusions

Low levels of protein Z antigen and protein Z activity are significantly associated with the occurrence and severity of atherosclerotic PAD.

Keywords: atherosclerosis, peripheral arterial disease, protein Z, ZPI

Introduction

Protein Z is a single-chain, vitamin K-dependent glycoprotein identified in human plasma in 1984 [1]. Protein Z acts as a cofactor for the inactivation of activated factor X (FXa) by protein Z-dependent protease inhibitor (ZPI) [2,3]. ZPI, a member of the serpin superfamily of proteinase inhibitors, inhibits FXa in a protein Z-dependent, Ca2+-dependent and phospholipid-dependent fashion, and inhibits FXIa in the absence of cofactors [2,3]. Protein Z and ZPI circulate as a complex in plasma [4]. Under normal conditions, ZPI is in excess, and all of the protein Z is bound to ZPI.

Studies on the potential roles of protein Z and ZPI in different prothrombotic conditions have produced conflicting results [518]. We have reported an association of low levels of protein Z with coronary disease and peripheral arterial disease (PAD) [1921]. Recently, Zhang et al. demonstrated that ZPI deficiency enhanced thrombosis in murine models, supporting a possible pathophysiologic role for ZPI in thromboembolic disease [22]. Up to now, however, the relationship of ZPI levels to atherothrombotic disease has been evaluated in only one study [14], and no information is available concerning the potential role of ZPI in PAD, a severe clinical manifestation of atherosclerotic disease. The aim of this study was to more fully assess the protein Z–ZPI system in PAD patients.

Materials and methods

Study population

The study population consisted of 95 patients [73 males, 22 females; median age, 73 years (range: 50–86 years)], with symptoms or signs suggestive of the presence of PAD, who were admitted to the Unit of Vascular Surgery of the University of Florence to be evaluated for possible surgical intervention. PAD was diagnosed when patients had typical symptoms of intermittent claudication, i.e. cramping pain of the calves or buttocks during exercise, and an ankle–brachial index at rest less than 0.90, calculated according to the recommendations of the American Heart Association [23].

None of the patients was undergoing anticoagulant treatment, and none reported a positive history for the FV Leiden mutation or antiphospholipid antibodies. All patients were also evaluated for atherosclerotic disease at other locations. In particular, a cardiologic evaluation, including electrocardiogram and echo-cardiogram, was performed in all patients, and, in patients with symptoms potentially related to ischemic heart disease, additional studies were performed (echocardiogram with drug-induced stress testing, myocardial scintigraphy, and/or coronary angiography). Moreover, carotid artery duplex scanning with color-coded echo flow imaging was also conducted.

The patients were compared with 190 clinical controls [median age,72 years(range:52–86 years);142 males;48 females]recruited from a population study conducted in Florence, Italy [24]. The control group was selected to be comparable for age and gender with the patient group. We used a structured questionnaire to identify disease-free controls and to exclude subjects who were suspected of having any form of vascular disease. The subjects were considered to have hypertension if they had been diagnosed as hypertensives according to the guidelines of the European Society of Hypertension/European Society of Cardiology [25] or were taking antihypertensive drugs. Dyslipidemia was defined according to the Third report of the National Cholesterol Education Program [26], and diabetes in agreement with the criteria of the American Diabetes Association [27]. A positive family history was defined as the presence of at least one first-degree relative who had developed cardiovascular disease before the age of 55 years for men and the age of 65 years for women. All subjects gave informed consent. The study complied with the Declaration of Helsinki and was approved by the local ethics committee.

Laboratory measurement

Blood samples were collected from the antecubital vein into evacuated plastic tubes (Vacutainer) containing 0.109 mol L−1 sodium citrate, in the morning after an overnight fast. Plasma samples, obtained by centrifugation at 3000 × g for 10 min at 4 °C, were stored in aliquots at − 80 °C until analysis. Protein Z antigen levels in plasma were measured using a commercial enzyme-linked immunosorbent assay (Zymutest Protein Z; Hyphen BioMed, Neuville-sur-Oise, France) by following the manufacturer’s instructions. ZPI immunoassays were performed as previously described [13].

The ZPI functional assay took advantage of the fact that ZPI is by far the most potent inhibitor of FXIa in plasma [28]. Fifty microliters of human FXIa (20 μg mL−1; Enzyme Research Laboratories, South Bend, IN, USA) in 0.1 mol L−1 NaCl and 0.02 mol L−1Hepes (pH 7.4)was incubated overnight at 4 °C in each well of a microtiter plate. Wells were washed with phosphate-buffered saline containing 0.05% Tween-20 (PBST), and 100-μL plasma samples diluted 1/50 in PBST were applied and incubated for 90 min at room temperature. After washing with PBST, 100 μL of biotin-conjugated anti-ZPI monoclonal antibody 4336 E5 (2 μg mL−1) was added to each well and incubated for 60 min at room temperature. After washing with PBST, 100 μL of streptavidin–horseradish peroxidase (1 μg mL−1; Thermo Scientific, Rockford, IL, USA)was added and incubated for 30 min at room temperature. After final washing with PBST, 200 μL of 3,3′,5,5′-tetramethylbenzidine (Sigma, St Louis, MO, USA) was added, and the reaction was stopped after 5 min by adding 100 μL of 0.5 mol L−1 H2SO4. Absorbance at 450 nm (A450 nm) was read in a microtiter plate reader, and compared with a standard curve produced with serial concentrations of purified ZPI (0–160 ng mL−1).

Protein Z antigen, ZPI antigen and ZPI functional assay results were normalized by assuming that the mean values for each in the control group represented 100%.

Statistical analysis

Statistical analysis was performed using SPSS (Statistical Package for Social Sciences Inc., Chicago, IL, USA) software for Windows (Version 13.0). Owing to their skewed distributions, protein Z antigen, ZPI antigen and ZPI function levels were log-analysed and back-transformed for data presentation. The Spearman correlation test for non-parametric data was used for correlation analyses. Results are expressed as median and range. The non-parametric Mann–Whitney test for unpaired data was used for comparison between single groups, and the chi-square test was used for test of proportions. To analyse the relationship between the parameters of the protein Z–ZPI system and PAD, the study population was divided into tertiles of the distribution of these parameters in the control group: protein Z antigen, first tertile < 86.5%, second tertile 86.5–100.4%, and third tertile > 100.4%; ZPI antigen, first tertile< 85.4%, second tertile 85.4–105.6%, and third tertile > 105.6%; ZPI function, first tertile < 85.2%, second tertile 85.2–106.7%, and third tertile > 106.7%. Univariate logistic regression analysis was performed with low levels defined as protein Z antigen, ZPI antigen and ZPI function in the first tertile of their distribution. Afterwards, a multivariate analysis was performed to evaluate the association between such levels and the disease after adjustment for traditional cardiovascular risk factors (smoking habit, hypertension, dyslipidemia, diabetes, and family history of cardiovascular diseases). To investigate the possible association between protein Z and ZPI levels and the number of traditional cardiovascular risk factors, as well as the clinical severity of the disease (Fontaine stage), a general linear model with Bonferroni adjustment for multiple confounders was used. Data were expressed as geometric means and 95% confidence interval (CIs). Odds ratios (ORs) with 95% CIs were calculated, and a P-value < 0.05 was considered to be statistically significant.

Results

Demographic and clinical characteristics of the study population are shown in Table 1. As expected, traditional cardiovascular risk factors (hypertension, diabetes, smoking habit, dyslipidemia, and family history of cardiovascular diseases) were significantly more prevalent in PAD patients than in controls. Atherosclerotic disease was detected at additional locations in 36 (37.9%) of the PAD patients: coronary artery disease, 22 (23.2%); carotid artery stenosis, eight (8.4%); and abdominal aortic aneurysm, six (6.3%).

Table 1.

Demographic and clinical characteristics of the study populations

Variable Patients (n = 95) Controls (n = 190) P-value
Age, years* 73 (50–86) 72 (52–86) 0.7
Male gender, n (%) 73 (76.8) 142 (74.7) 0.9
Hypertension, n (%) 35 (36.8) 38 (20) 0.002
Smoking habit, n (%) 65 (68.4) 41 (21.6) < 0.0001
Dyslipidemia, n (%) 36 (37.9) 38 (20) 0.001
Diabetes, n (%) 24 (25.3) 11 (5.8) < 0.0001
Family history of CVD, n (%) 24 (25.3) 23 (12.1) 0.005
*

Median (range). CVD, cardiovascular disease.

Protein Zantigen levels, ZPI antigen levels and ZPI functional levels were significantly (P < 0.005 for all) lower in PAD patients [protein Z antigen, 72.5% (3.8–123.7%); ZPI antigen, 86.1%(25.1–149.5%); ZPI function, 83.5%(21.1–135.2%)] than in controls [protein Z antigen, 90.7% (32.1–203.2%); ZPI antigen, 93.2% (48.9–171.3%); ZPI function, 97.2% (50.5–175.5%)]. Significant correlations among the three different parameters in the whole study population were found (protein Z antigen–ZPI antigen, R = 0.55, P <0.0001; protein Zantigen–ZPI function, R = 0.52, P <0.0001; ZPI antigen–ZPI function, R = 0.68, P < 0.0001) (Fig. 1).

Fig. 1.

Fig. 1

Correlation analysis between protein Z-dependent protease inhibitor (ZPI) antigen (Ag) and ZPI function (FCn).

To test the association between protein Z and ZPI levels and the presence of PAD, the study population was divided into tertiles according to the distribution of these parameters within the control group, and evaluated by logistic regression analysis. On univariate analysis, an increased risk of PAD was found for patients with protein Z antigen, ZPI antigen and ZPI function in the lowest tertile of their distribution (protein Z antigen, OR 5.9, 95% CI 2.8–12.2, P < 0.0001; ZPI antigen, OR 2.2 95% CI 1.2–4.1, P < 0.01; ZPI function, OR 2.8, 95% CI 1.5–5.3, P < 0.0001). After adjustment for age, gender, and traditional cardiovascular risk factors, the association between low levels of protein Z antigen and ZPI function and PAD was confirmed (protein Z antigen, OR 5.4, 95% CI 2.2–13.5, P < 0.0001; ZPI function, OR 2.4, 95% CI 1.1–5.5, P = 0.03), but ZPI antigen was no longer an independent risk factor for PAD (OR 1.6, 95% CI 0.7–3.6, P = 0.23).

The potential relationship between protein Z–ZPI parameters and the extent of atherosclerotic disease was also evaluated. The sample population was grouped on the basis of the number of traditional cardiovascular risk factors and analyzed using a general linear model with adjustment for age and gender. A significant relationship between decreasing levels of protein Z antigen, ZPI antigen and ZPI function and the number of traditional cardiovascular risk factors was observed (Table 2). Finally, a general linear model after adjustment for age, gender and traditional cardiovascular risk factors was used to evaluate the potential association between protein Z–ZPI levels and the clinical progression of PAD (defined by Fontaine’s clinical stages). Significant trends for decreasing protein Z antigen, ZPI antigen and ZPI function with increasing clinical stage of the disease were observed (Table 3).

Table 2.

Protein Z antigen, protein Z-dependent protease inhibitor (ZPI) antigen and function according to the number of traditional cardiovascular risk factors in the whole study population

Protein Z antigen ZPI antigen ZPI function
0 (n = 84) 91 (86–96) 96 (90–101) 97 (92–103)
1 (n = 98) 91 (86–96) 97 (92–102) 94 (89–99)
2 (n = 74) 76 (71–82) 85 (79–91) 89 (83–95)
3 (n = 27) 75 (66–84) 86 (76–95) 81 (72–90)
4 (n = 2) 26 (16–59) 38 (22–73) 33 (23–68)
P for trend < 0.0001 < 0.0001 < 0.0001

Data are presented as geometric mean (95% confidence interval). General linear model adjusted for age and gender.

Table 3.

Protein Z antigen, protein Z-dependent protease inhibitor (ZPI) antigen and function according to the clinical extent (Fontaine stage) of the peripheral arterial disease

Protein Z antigen ZPI antigen ZPI function
Controls (n = 190) 90 (87–94) 93 (89–97) 96 (92–100)
Stage IIb (n = 74) 75 (70–81) 92 (86–98) 88 (82–94)
Stage III (n = 14) 60 (47–73) 68 (54–81) 68 (54–82)
Stage IV (n = 7) 58 (39–77) 43 (23–62) 50 (29–70)
P for trend < 0.0001 < 0.0001 < 0.0001

Data are presented as geometric mean (95% confidence interval). General linear model adjusted for age, gender, smoking habit, hypertension, diabetes, dyslipidemia, and family history of cardiovascular diseases.

Discussion

Protein Z and ZPI null mice are born in lower than anticipated numbers (20% and 35% reduced, respectively) from heterozygous matings, and have enhanced thrombotic responses in mouse models of carotid artery occlusion and pulmonary thromboembolism [22]. When combined with the FV Leiden genotype, protein Z and ZPI deficiencies cause intrauterine and perinatal thrombosis and an apparent consumptive coagulopathy, with ZPI deficiency producing a significantly more severe phenotype than protein Z deficiency. These results strongly suggest that protein Z and ZPI deficiency are prothrombotic traits. Clinical studies exploring the association between protein Z levels and venous and arterial thrombotic disease, however, have produced both positive [59,13] and negative results [1012,14]. More limited studies of ZPI and thrombosis have also produced conflicting results [1318].

We have previously documented an association between low protein Z levels and atherosclerosis, in particular symptomatic coronary disease and PAD [1921]. In PAD, protein Z levels were shown to be related to traditional atherosclerotic risk factors and disease severity [21]. The current study, conducted on a new cohort of patients and controls, confirms these results for protein Z, and demonstrates a similar relationship of reduced antigenic and functional ZPI levels with cardiovascular risk factors and the extent of PAD. The mechanism(s) underlying the apparent association of the protein Z–ZPI system and atherosclerosis is not known, and cannot be determined by the case–control design of this study. It is conceivable that low levels of protein Z and/or ZPI could accelerate the progression of vascular disease, and it is of interest in this regard that protein Z has been detected in atherosclerotic plaques [29]. Prospective studies investigating the relationship between reduced protein Z and/or ZPI and the thrombotic complications of atherosclerosis, however, have failed to demonstrate statistical significance [12,14]. Alternatively, the reductions in the levels of protein Z and ZPI in atherosclerosis could be acquired abnormalities, perhaps related to their consumption through the persistent activation of coagulation that occurs in patients with widespread vascular disease [30,31]. In this regard, it is notable that ZPI, but not protein Z, is consumed during coagulation in vitro [32]. Endothelial dysfunction also accompanies PAD [33], and the expression of protein Z, but not of ZPI, by endothelial cells has been detected [34]. The major source of protein Z in vivo, however, is the liver, and the low level of endothelial protein Z synthesis that was reported is unlikely to affect plasma protein Z concentrations. Inflammation is an integral part of the atherosclerotic process, and some studies have suggested a positive relationship between certain inflammatory cytokines and protein Z [19,35,36]. Furthermore, increased levels of protein Z have been found during the acute phase of stroke that resolve during convalescence [11,37]. A similar effect of inflammation in PAD, however, would tend to raise, rather than lower, protein Z and ZPI levels. Finally, protein Z and ZPI circulate as a complex [4], and it has been shown that the plasma concentration of one partner affects the concentration of the other [13,22]. Thus, a primary reduction in protein Z would be anticipated to reduce the level of ZPI and vice versa. A significant association of ZPI function with PAD was detected on both univariate and multivariate analysis, whereas the association of ZPI antigen was only noted on univariate analysis. The most likely reason for this discrepancy is the relatively small sample investigated in this study. It is conceivable, however, that disparities between ZPI function and ZPI antigen measurements may also have contributed. In the plot of ZPI function vs. ZPI antigen (Fig. 1), a number of points stray from the line of identity. Differences between ZPI functional and antigenic results could be due to ZPI polymorphisms that are recognized differentially in the monoclonal antibody sandwich antigen assay cleaved forms of ZPI that are detected in the antigen assay but lack functional activity [32], or altered forms of ZPI with a gain or loss of function. Further studies will be required to distinguish between these possibilities.

The limitations of this study include the relatively small number of PAD patients evaluated and the fact that we were not able to perform ankle-brachial index measurements and other diagnostic procedures in the control population. Therefore, individuals in the control group could have asymptomatic atherosclerotic disease.

In conclusion, low levels of protein Z antigen and ZPI antigen and function appear to be associated with the occurrence and severity of atherosclerotic PAD. The pathophysiologic process(es) responsible for this observation remains to be determined. Whether pre-existing deficiencies of protein Z and ZPI affect the development and progression of atherosclerosis will be addressed in ongoing studies using gene-deleted mice and murine models of atherosclerosis. If the reductions in protein Z and ZPI are acquired abnormalities, it is conceivable that their serial measurement in an individual patient may provide a means of following the progression of atherosclerosis and the effect of (e.g. statin) treatment.

Footnotes

Addendum

Study design: F. Sofi, R. Abbate, S. Fedi, and G. J. Broze Jr. Clinical evaluation of patients: F. Sofi, G. Pratesi, R. Pulli, and C. Pratesi. Laboratory investigation: F. Cesari, S. Fedi, and Y. Tu. Statistical analysis: F. Sofi, F. Cesari, and G. J. Broze Jr. Writing of the article: F. Sofi, G. Pratesi, C. Pratesi, R. Abbate, G. F. Gensini, S. Fedi, and G. J. Broze Jr. Critical revision of the draft: R. Pulli, C. Pratesi, G. F. Gensini, R. Abbate, S. Fedi, and G. J. Broze Jr.

Disclosure of Conflict of Interests

The authors state that they have no conflict of interest.

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