Increased Serum PAI-1 Levels in Subjects with Metabolic Syndrome and Long-Term Adverse Mental Symptoms: A Population-Based Study

Huotari, Anne; Lehto, Soili M.; Niskanen, Leo; Herzig, Karl-Heinz; Hintikka, Jukka; Koivumaa-Honkanen, Heli; Tolmunen, Tommi; Honkalampi, Kirsi; Kaikkonen, Noora; Viinamäki, Heimo

doi:https://doi.org/10.1155/2010/501349

Cardiovascular Psychiatry and Neurology

On this page

Abstract Introduction Methods Results Discussion Acknowledgments References Copyright Related Articles

Clinical Study | Open Access

Volume 2010 | Article ID 501349 | https://doi.org/10.1155/2010/501349

Increased Serum PAI-1 Levels in Subjects with Metabolic Syndrome and Long-Term Adverse Mental Symptoms: A Population-Based Study

Anne Huotari,¹Soili M. Lehto,^2,3Leo Niskanen,⁴Karl-Heinz Herzig,^1,2,4Jukka Hintikka,²Heli Koivumaa-Honkanen,⁵Tommi Tolmunen,²Kirsi Honkalampi,³Noora Kaikkonen,²and Heimo Viinamäki²

Academic Editor: Paul Mackin

Received09 Sept 2009

Revised30 Nov 2009

Accepted11 Jan 2010

Published14 Mar 2010

Abstract

Depression is an independent risk factor for cardiovascular diseases and is associated with metabolic syndrome (MetS). Levels of plasminogen activator inhibitor-1 (PAI-1), an inhibitor of tissue-type and urokinase-type plasminogen activators, are associated with MetS. To clarify the role of PAI-1 in subjects with long-term adverse mental symptomatology (LMS; including depression) and MetS, we measured circulating PAI-1 levels in controls (), in subjects with MetS and free of mental symptoms (), and in subjects with both MetS and long-term mental symptoms (). PAI-1 increased linearly across the three groups in men. In logistic regression analysis, men with PAI-1 levels above the median had a 3.4-fold increased likelihood of suffering from the comorbidity of long-term adverse mental symptoms and MetS, while no such associations were detected in women. In conclusion, our results suggest that in men high PAI-1 levels are independently associated with long-term mental symptomatology.

1. Introduction

An increased prevalence of metabolic syndrome (MetS) is a common finding among depressed patients [1]. Furthermore, depression is an independent risk factor for the development of cardiovascular diseases [2]. Nevertheless, causal relationships between these factors remain unclear [3], although several behavioral or physiological mechanisms have been suggested [4]. According to previous studies, increased serum plasminogen activator inhibitor-1 (PAI-1) levels are associated with metabolic changes [5], and possibly also with mental health problems [6]. Furthermore, depression is a significant public health care issue worldwide, and the incidence of metabolic syndrome is increasing drastically. The relationship between these two conditions is bidirectional [7]. Nevertheless, the factors regulating these associations are unclear.

Plasminogen activator inhibitor-1 (PAI-1) is a major physiological inhibitor of tissue-type (tPA) and urokinase-type plasminogen (uPA) activators. It also possesses several other roles in human physiology. PAI-1 belongs to the family of serine protease inhibitors (SERPINs), and it is an inhibitor of intravascular fibrinolysis and cell-associated proteolysis. Under normal physiological conditions, PAI-1 is synthesized by the liver, smooth muscle cells, adipocytes and platelets [8]. However, in pathological conditions, such as atherosclerosis, endothelial cells and other inflammatory-stimulated cells secrete notable amounts of PAI-1 [8]. In addition, abdominal obesity is related to elevated PAI-1 plasma concentrations, and thus increased amounts of adipose tissue might contribute to PAI-1 secretion, especially in obese subjects [9]. Circulating PAI-1 is found in two conformationally distinct forms: an active form, which has a relatively short plasma half-life (~30 min), and a latent inactive form [10]. Binding to a carrier protein, vitronectin, stabilizes the active form of PAI-1 [11]. PAI-1 is also found in cerebrospinal fluid [12]. tPA can cross the blood-brain barrier (BBB) [13], and is synthesized in several brain regions [14]. Furthermore, Yepes et al. reported that tPA increased BBB permeability after ischemic stroke [15]. Whether PAI-1 itself is capable of crossing the BBB is currently unknown. However, Hino et al. showed immunohistochemically the localization of type 1 plasminogen activator inhibitor in human brain tissues [16].

Recent findings suggest a link between elevated PAI-1 levels and major depressive disorder (MDD) [17, 18]. However, the role of metabolic syndrome was not assessed in these studies. As PAI-1 is an independent and true component of metabolic syndrome, we examined the additional effect of mental symptoms on the previously observed association between metabolic syndrome and PAI-1. Moreover, the possible gender differences have not been addressed in previous studies. Thus, in the present study we examined the role of long-term adverse mental symptoms (LMS) in subjects with metabolic syndrome in the regulation of PAI-1 levels in a population-based sample of both men and women.

2. Methods

2.1. Study Population

The present study was a part of the longitudinal population-based Kuopio Depression Study (KUDEP) in the central-eastern part of Finland [1, 19, 20]. The random general population sample () was initially selected from the National Population Register in 1998. Study questionnaires were mailed to the subjects. The baseline sample consisted of 2050 respondents aged 25–65 years. Follow-ups were performed in 1999 () and in 2001 (). Altogether, 1347 subjects responded three times.

The sample of the present study was from subgroups of this 3-year followup study. The inclusion criteria for the sample were based on the presence or absence of self-reported mental symptoms prevailing at baseline and at both follow-ups. First, we selected subjects who reported at least one of the following at each followup: high Beck Depression Inventory scores (BDI-21 score >9) [21], alexithymic features according to the Toronto Alexithymia Scale (TAS-20 score >58) [22], or life dissatisfaction with the four-item Life Satisfaction Scale (LS score >11) [23]. The mean BDI scores (SD) for these subjects with long-term mental symptoms (LMS group) were 14.7 (8.8) in 1998, 15.6 (10.0) in 1999, and 15.2 (9.8) in 2001, indicating clinically significant prevailing depressive symptoms during the followup. A control group of those not fulfilling any of these criteria at any measurement point was formed. Their respective BDI scores (SD) were 2.7 (2.7) in 1998, 2.9 (3.0) in 1999, and 2.4 (2.8) in 2001. There were no differences between these groups in age or gender distributions (data not shown).

Seven years from the baseline, during clinical assessment, the subjects in both sub-samples completed a questionnaire relating to their socio-demographic background. The questionnaire included the following variables: age, sex, and marital status (married or living with a partner versus living alone). The subjects were also asked about their smoking status (daily smoker: yes/no), frequency of alcohol consumption (more than twice per week versus less), previous physician-diagnosed illnesses, and whether they had taken any psychotropic medication during the preceding week. Data on the use of somatic medications during the study period were obtained from the register of the National Agency for Medicines and the Social Insurance Institute. Depressive symptoms were assessed with the BDI [21].

For this study focusing on the relationships between PAI-1, MetS, and mental symptomatology, the subjects were further divided into three groups: () controls (subjects without both MetS and LMS; 42 men and 69 women), () control + MetS (subjects with MetS but without LMS; 25 men and 17 women) and (), LMS + MetS (subjects with comorbid MetS and LMS; 42 men and 28 women). The subjects with LMS but without MetS were omitted from the current study.

Approval for the study was obtained from the Ethics Committee of Kuopio University Hospital and the University of Kuopio, and the study protocol was in accordance with the latest version of the Declaration of Helsinki. All participants provided written informed consent before entering the study.

2.2. Measurements

The laboratory measurements were carried out in the laboratory of Kuopio University Hospital. The subjects came for venous blood sampling at 8 am, after having been instructed to fast for the previous 12 hours. Serum total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and fasting plasma glucose measurements were carried out according to routine protocols. Enzymatic methods (Thermo Electron Co, Finland) were used for all measurements (TC: Konelab CHOLESTEROL; HDL-C: Konelab HDL-CHOLESTEROL, TG: Konelab TRIGLYCERIDES; fasting plasma glucose: Konelab GLUCOSE). The total variations in the utilized methods were 1.6%, 3.7%, 4.8%, and 3.1%, respectively. The samples were analyzed using a Konelab 60i Clinical Chemistry Analyzer (Thermo Electron Co.). Waist circumference was measured at the midpoint between the lowest rib and the iliac crest. A research nurse measured the blood pressure after 10 minutes of rest in the sitting position at 2-minute intervals. Systolic and diastolic blood pressures were obtained as the mean of three measurements. Height and body weight were measured in light clothing without shoes, and the body mass index (BMI; kg/m) was calculated.

MetS was diagnosed according to the modified criteria of the National Cholesterol Education Program Adult Treatment Panel III [NCEP ATP III; 1,19,20] based on the presence of 3 or more of the following findings: fasting plasma glucose levels ≥5.6 mmol/L, serum triglycerides ≥1.7 mmol/L, serum high-density lipoprotein cholesterol (HDL-C) < 1.0 mmol/L in men and <1.3 mmol/L in women, systolic blood pressure ≥130 mmHg and/or diastolic blood pressure ≥85 mmHg, or waist girth >102 cm for men and >88 cm for women.

For PAI-1 analyses, the venous blood samples were stored at −80C until run. PAI-1 was analyzed with a human serum adipokine LincoPlex kit (Millipore, MA, USA) using a Bio-Plex Suspension Array System (Bio-Rad Laboratories Pty Ltd; Hercules, CA, USA). Before the analyses, samples were centrifuged for 15 minutes at 3000 rpm. For the analyses the samples were diluted in the appropriate sample matrix to 1 : 400 according to the kit instructions. The assays were performed according to the manufacturer's instructions. The intra-assay and interassay variations for analyses were <7.9% and 21%, respectively.

2.3. Statistical Analysis

Differences between the study groups were assessed using the chi-squared test for categorical variables and, when needed, exact P-values were calculated with Fisher’s exact test. Due to the skewed distribution of the PAI-1 data, the non-parametric Kruskal-Wallis test was used for PAI-1 and one-way ANOVA for other continuous variables. For post-hoc testing of PAI-1, the differences between the groups were assessed with the Mann-Whitney -test. The tests were performed separately for men and women.

Logistic regression analysis (method: enter) was performed to examine factors independently associated with the likelihood of belonging to the LMS + MetS group. The analyses were performed separately for men and women. The regression model was adjusted for age, marital status, alcohol consumption, daily smoking, cardiovascular disease other than hypertension, and overweight (BMI ≥ 25). The covariates were chosen based on the statistical significance between the groups (BMI, alcohol consumption, smoking, marital status) and the known influence on PAI-1 levels (BMI [5], cardiovascular disease [8] and age [24]). A median-based cut-off was used for PAI-1 levels in order to improve interpretability and optimize statistical power in the analyses. PAI-1 medians were calculated separately for men and women (men: median = 32.58 ng/mL, lower median half 0.00–32.13, upper median half 32.58–147.35; women: median 28.11 ng/mL, lower median half 0.00–28.05, upper median half 28.16–115.38). In addition, as a second step, we performed the same regression analysis using PAI-1 levels as a continuous variable. Other covariates remained identical to the first model, and belonging to the group of LMS + MetS was still the dependent variable. Two-tailed P-values <.05 were considered to indicate statistical significance in all analyses, which were performed using SPSS software version 14.0 for Windows.

3. Results

Characteristics of the study population are described in Table 1. BDI scores were highest in the LMS + MetS group and BMI was lowest in the control group for both women and men. In men, the highest number of current smokers was observed in the LMS + MetS group, whereas the number of frequent alcohol users was highest in the control group. In women, the subjects in the LMS + MetS group were most often living alone. The prevalence of cardiovascular disease was low in all the groups.

Men belonging to the control + MetS group had higher PAI-1 levels when compared with controls (mean values: 43.42 ng/mL (SEM 5.39) versus 29.76 ng/mL (SEM 3.72), P = .015; Figure 1(a)). Furthermore, the LMS + MetS group had elevated PAI-1 levels compared with controls (mean 49.68 ng/mL (SEM 5.28), versus 29.76 ng/mL (SEM 3.72), P = .003; Figure 1(a)). The mean increase in PAI-1 levels followed a linear trend across the three groups (control, control + MetS, LMS + MetS; P = .002). Interestingly, PAI-1 levels in women were similar in all groups (Table 1, Figure 1(b)). Men had higher mean PAI-1 levels than women, but the difference was not statistically significant (men: 40.57 ng/mL (SEM 2.88); women: 34.58 ng/mL (SEM 2.37), P = .236).

(a)

(b)

3.1. Effect of Medications

The consumption of lipid-lowering agents (mainly statins) did not differ between the groups for men or women (number (%) of male users: controls 15 (36%), control + MetS 9 (36%), and LMS + MetS 10 (24%), P = .42; number (%) of female users: controls 13 (19%), control + MetS 6 (35%), and LMS + MetS 8 (29%), P = .28). The consumption of lipid-lowering agents did not affect the mean total PAI-1 levels in men (men consuming lipid-lowering drugs 40.05 ng/mL (SEM 4.84) versus not consuming 40.81 ng/mL (SEM 3.59); P = .90), or in women (34.64 ng/mL (5.22) versus 34.56 ng/mL (SEM 2.66), resp.; P = .99). The self-reported consumption of antidepressants was similar in all groups for men (controls: = 4 (10%); control + MetS: = 3 (12%); LMS + MetS: = 8 (19%); P = .43) and highest in control + MetS and LMS + MetS groups for women (controls: = 3 (4%); control + MetS: = 5 (29%); LMS + MetS: = 7 (25%); P = .002). Those men using antidepressants had slightly lower PAI-1 levels than the other men, but the difference was not statistically significant (37.00 ng/mL (SEM 7.26) versus 41.14 ng/mL (SEM 3.15), resp.; P = .62). The opposite finding was recorded in women, and there was a trend towards statistical significance (45.33 ng/mL (SEM 9.56), versus 32.95 ng/mL (SEM 2.29), resp.; P = .08).

There were no significant differences in the number of women receiving sex hormones in the three study groups (controls: = 20 (29.0%); control + MetS: = 7 (41.2%); LMS + MetS: = 7 (25.0%); P = .501). Furthermore, the difference in mean PAI-1 levels between the women with () or without () the use of sex hormones did not reach statistical significance (PAI-1: 30.41 ng/mL (SEM 3.61) versus PAI-1: 36.35 ng/mL (SEM 2.99), resp.; P = .253).

3.2. Multivariate Analyses

In logistic regression analysis, men having PAI-1 levels above the median had 3.4-fold higher risk for belonging to the LMS + MetS group (OR 3.40, 95% CI 1.23–9.40, P = .018) (Table 2), independently of potential confounders. In addition, smoking and overweight were independently associated with the likelihood of belonging to the LMS + MetS group for men (OR 9.93, 95% CI 2.56–38.57; OR 3.85, 95% CI 1.04–14.21, resp.). However, PAI-1 levels above the median did not predict mental symptomatology in women (Table 2). In men, smoking and overweight were independent predictors of MetS and LMS (OR 9.93, 95% CI 2.56–38.57, P = .001 and OR 3.85, 95% CI 1.04–14.21, P = .043, resp.). These factors were also significant predictors in women (smoking OR 7.86, 95% CI 1.55–39.73, P = .013, and overweight OR 27.36, 95% CI 3.17–235.77 and P = .003), and in women marital status was also significant (single OR 5.22, 95% CI 1.16–23.55, P = .032). As a second step, we used PAI-1 levels as a continuous variable to assess the risk of long-term mental symptoms and MetS. The results were essentially the same in men, as we observed that each one unit increase in PAI-1 levels increased the likelihood of belonging to LMS + MetS group by 2.3% (OR 1.023, 95% CI 1.01–1.04, P = .008) in men. Furthermore, smoking (OR 9.07, 95% CI 2.40–34.24, P = .001) and overweight (OR 4.33, 95% CI 1.17–16.00, P = .028) remained significantly associated with belonging to the LMS + MetS group in men. In women, the same predictors were significant as in the first model utilizing median cut-off of PAI-1 (smoking OR 7.47, 95% CI 1.50–37.30, P = .014, overweight OR 28.17, 95% CI 3.25–243.78, P = .02 and marital status single OR 4.95, 95% CI 1.09–22.45, P = .038).

4. Discussion

To the best of our knowledge, this is the first study to demonstrate the cumulative effect of long-term adverse mental symptoms and metabolic syndrome on serum PAI-1 levels in men. However, no such differences could be observed in women.

Elevated PAI-1 levels have been linked with depression [17, 18, 25]. In addition, associations with vital exhaustion [26–28] and anxiety with agoraphobia or social phobia [29] have been reported. Furthermore, a single nucleotide polymorphism (SNP) found in the PAI-1 gene was linked to MDD and the antidepressant response [30]. The link between depression and PAI-1 levels could be explained by the inhibitory effect of PAI-1 on tPA. tPA is the main thrombolytic enzyme in blood, and it also promotes pathways associated with synaptic plasticity and cell death in the brain [15]. In addition, after ischemic stroke it also increases BBB permeability [15]. Brain-derived neurotrophic factor (BDNF), a member of the neurotrophin family that regulates neuronal plasticity and survival, might explain the connection between depression and the tPA system [31–33].

Direct evidence for PAI-1 crossing the blood-brain barrier has not currently been established, but PAI-1 is found in certain brain regions and in the cerebrospinal fluid [12, 16]. In patients with multiple sclerosis there is a negative correlation between PAI-1 levels in CSF and serum, which might suggest that there is an active transport mechanism through the BBB [34]. Whether PAI-1 directly causes the psychiatric symptoms in the central nervous system or whether the actions are indirect or mediated via the modulation of the BBB by tPA system is currently unknown.

Most of the earlier reports on the association between depression and the tPA system have been exclusively conducted on male subjects. Exceptions include the studies of Eskandari et al. [17] and Matthews et al. [25] on young premenopausal and perimenopausal women, respectively, which yielded similar findings to those for men in other studies. Hence, the gender difference found in the current study is novel and warrants further investigation.

The use of simvastatin may reduce the expression of the PAI-1 gene, and thereby reduce PAI-1 activity [35]. Moreover, other statins may have similar effects [36]. Thus, it has been suggested that statins might actually protect against depression [37]. In our study population, total cholesterol levels were similar in both genders. Furthermore, no differences were observed in the use of statins between the groups for either gender, and the PAI-1 levels were similar in subjects with or without the use of lipid-lowering drugs, mainly statins.

Increased circulating PAI-1 is strongly linked to MetS and is an independent component of the syndrome [38]. In our sample, men with MetS (control + MetS) and LMS + MetS had significantly higher PAI-1 levels than controls, but this difference was not seen in women. The findings in the female sample require confirmation in larger cohorts. However, in support of our findings, the correlations between cardiovascular disease traits and circulating PAI-1 levels have been shown to be greater in men than in women [39]. Postmenopausal women not receiving estrogen replacement have been reported to have higher PAI-1 levels compared to those on hormone replacement therapy [40]. Nevertheless, although we were unable to specifically examine the effect of the menopausal status in the female sample, we observed no differences in the levels of PAI-1 between women with or without sex hormones.

As a limitation of the study, we measured total circulating PAI-1, not only the active form. However, in a recent investigation in a similar assay to ours from the same vendor, total and active PAI-1 correlated [41]. Thus, it could be considered that the measurement of total PAI-1 reflects the amount of active PAI-1. Nevertheless, a weakness of the current study setting is the low number of subjects in the study groups, which reduced the statistical power of our analysis. Moreover, we used self-report questionnaires instead of diagnostic criteria to evaluate adverse mental symptoms. Utilizing diagnostic criteria might have provided better comparability with other studies on the depression-related biological alterations. Nevertheless, in line with our study, dimensional rather than categorical (i.e., diagnosis-based) evaluation of depression has been suggested [42]. In addition to the PAI-1 assay, measurement of serum tPA could have provided a more comprehensive assessment of the prothrombotic status of the subjects [43].

In conclusion, high PAI-1 levels were associated with long-term adverse mental symptoms in men, regardless of the adjustment for potential confounders. No such association was detected in women. Hence, increased PAI-1 levels might partly explain the association between MetS and depression, as well as the increased risk for cardiovascular illnesses in depressed subjects.

Acknowledgments

The authors thank Kaisa Haatainen, Ph.D., and Tarja Saharinen, M.N.Sc., for their valuable contribution to the KUDEP study. The first author was supported by grants from the Orion-Farmos Research Foundation, the Aarne Koskelo Foundation, and the Jenny and Antti Wihuri Fund. The second author was supported by Kuopio University Hospital EVO funding. The fourth author was supported by a fellowship from the Academy of Finland. The sixth author was supported by the Academy of Finland (grant 116996). The first and the second author share equal contribution in this work.

References

H. Viinamäki, T. Heiskanen, S. M. Lehto et al., “Association of depressive symptoms and metabolic syndrome in men,” Acta Psychiatrica Scandinavica, vol. 120, pp. 23–29, 2009.
View at: Google Scholar
A. H. Glassman and P. A. Shapiro, “Depression and the course of coronary artery disease,” American Journal of Psychiatry, vol. 155, no. 1, pp. 4–11, 1998.
View at: Google Scholar
K. Räikkönen, K. A. Matthews, and L. H. Kuller, “The relationship between psychological risk attributes and the metabolic syndrome in healthy women: antecedent or consequence?” Metabolism: Clinical and Experimental, vol. 51, no. 12, pp. 1573–1577, 2002.
View at: Publisher Site | Google Scholar
R. M. Carney, K. E. Freedland, G. E. Miller, and A. S. Jaffe, “Depression as a risk factor for cardiac mortality and morbidity: a review of potential mechanisms,” Journal of Psychosomatic Research, vol. 53, no. 4, pp. 897–902, 2002.
View at: Publisher Site | Google Scholar
A. H. Berg and P. E. Scherer, “Adipose tissue, inflammation, and cardiovascular disease,” Circulation Research, vol. 96, no. 9, pp. 939–949, 2005.
View at: Publisher Site | Google Scholar
S.-J. Tsai, “The possible role of tissue-type plasminogen activator and the plasminogen system in the pathogenesis of major depression,” Medical Hypotheses, vol. 66, no. 2, pp. 319–322, 2005.
View at: Publisher Site | Google Scholar
H. Koponen, J. Jokelainen, S. Keinanen-Kiukaanniemi, E. Kumpusalo, and M. Vanhala, “Metabolic syndrome predisposes to depressive symptoms: a population-based 7-year follow-up study,” Journal of Clinical Psychiatry, vol. 69, no. 2, pp. 178–182, 2008.
View at: Google Scholar
B. R. Binder, G. Christ, F. Gruber et al., “Plasminogen activator inhibitor 1: physiological and pathophysiological roles,” News in Physiological Sciences, vol. 17, no. 2, pp. 56–61, 2002.
View at: Google Scholar
P. Eriksson, S. Reynisdottir, F. Lonnqvist, V. Stemme, A. Hamsten, and P. Arner, “Adipose tissue secretion of plasminogen activator inhibitor-1 in non-obese and obese individuals,” Diabetologia, vol. 41, no. 1, pp. 65–71, 1998.
View at: Publisher Site | Google Scholar
T. Kooistra, E. D. Sprengers, and V. W. M. van Hinsbergh, “Rapid inactivation of the plasminogen-activator inhibitor upon secretion from cultured human endothelial cells,” Biochemical Journal, vol. 239, no. 3, pp. 497–503, 1986.
View at: Google Scholar
D. E. Vaughan, “PAI-1 and atherothrombosis,” Journal of Thrombosis and Haemostasis, vol. 3, no. 8, pp. 1879–1883, 2005.
View at: Publisher Site | Google Scholar
J. S. Rao, M. Chen, and B. W. Festoff, “Plasminogen activator inhibitor 1, the primary regulator of fibrinolysis, in normal human cerebrospinal fluid,” Journal of Neuroscience Research, vol. 34, no. 3, pp. 340–345, 1993.
View at: Publisher Site | Google Scholar
K. Benchenane, V. Berezowski, C. Ali et al., “Tissue-type plasminogen activator crosses the intact blood-brain barrier by low-density lipoprotein receptor-related protein-mediated transcytosis,” Circulation, vol. 111, no. 17, pp. 2241–2249, 2005.
View at: Publisher Site | Google Scholar
J. P. Melchor and S. Strickland, “Tissue plasminogen activator in central nervous system physiology and pathology,” Thrombosis and Haemostasis, vol. 93, no. 4, pp. 655–660, 2005.
View at: Publisher Site | Google Scholar
M. Yepes, M. Sandkvist, E. G. Moore, T. H. Bugge, D. K. Strickland, and D. A. Lawrence, “Tissue-type plasminogen activator induces opening of the blood-brain barrier via the LDL receptor-related protein,” Journal of Clinical Investigation, vol. 112, no. 10, pp. 1533–1540, 2003.
View at: Publisher Site | Google Scholar
H. Hino, H. Akiyama, E. Iseki et al., “Immunohistochemical localization of plasminogen activator inhibitor-1 in rat and human brain tissues,” Neuroscience Letters, vol. 297, no. 2, pp. 105–108, 2001.
View at: Publisher Site | Google Scholar
F. Eskandari, S. Mistry, P. E. Martinez et al., “Younger, premenopausal women with major depressive disorder have more abdominal fat and increased serum levels of prothrombotic factors: implications for greater cardiovascular risk,” Metabolism: Clinical and Experimental, vol. 54, no. 7, pp. 918–924, 2005.
View at: Publisher Site | Google Scholar
K. Lahlou-Laforet, M. Alhenc-Gelas, M. Pornin et al., “Relation of depressive mood to plasminogen activator inhibitor, tissue plasminogen activator, and fibrinogen levels in patients with versus without coronary heart disease,” American Journal of Cardiology, vol. 97, no. 9, pp. 1287–1291, 2006.
View at: Publisher Site | Google Scholar
S. M. Lehto, L. Niskanen, K.-H. Herzig et al., “Serum chemokine levels in major depressive disorder,” Psychoneuroendocrinology, vol. 35, no. 2, pp. 226–232, 2010.
View at: Publisher Site | Google Scholar
S. M. Lehto, A. Huotari, L. Niskanen et al., “Serum adiponectin and resistin levels in major depressive disorder,” Acta Psychiatrica Scandinavica, vol. 121, no. 3, pp. 209–215, 2010.
View at: Publisher Site | Google Scholar
A. T. Beck, C. H. Ward, M. Mendelson, J. Mock, and J. Erbaugh, “An inventory for measuring depression,” Archives of General Psychiatry, vol. 4, pp. 561–571, 1961.
View at: Google Scholar
M. Joukamaa, J. Miettunen, P. Kokkonen et al., “Psychometric properties of the Finnish 20-item Toronto Alexithymia Scale,” Nordic Journal of Psychiatry, vol. 55, no. 2, pp. 123–127, 2001.
View at: Google Scholar
H. Koivumaa-Honkanen, R. Honkanen, H. Viinamäki, K. Heikkilä, J. Kaprio, and M. Koskenvuo, “Self-reported life satisfaction and 20-year mortality in healthy finnish adults,” American Journal of Epidemiology, vol. 152, no. 10, pp. 983–991, 2000.
View at: Publisher Site | Google Scholar
K. Yamamoto, K. Takeshita, T. Kojima, J. Takamatsu, and H. Saito, “Aging and plasminogen activator inhibitor-1 (PAI-1) regulation: implication in the pathogenesis of thrombotic disorders in the elderly,” Cardiovascular Research, vol. 66, no. 2, pp. 276–285, 2005.
View at: Publisher Site | Google Scholar
K. A. Matthews, L. L. Schott, J. Bromberger, J. Cyranowski, S. A. Everson-Rose, and M. F. Sowers, “Associations between depressive symptoms and inflammatory/hemostatic markers in women during the menopausal transition,” Psychosomatic Medicine, vol. 69, no. 2, pp. 124–130, 2007.
View at: Publisher Site | Google Scholar
R. von Kanel, F. E. Maly, K. Frey, and J. E. Fischer, “Contribution of the type 1 plasminogen activator inhibitor 4G/5G gene polymorphism to impaired fibrinolysis in vital exhaustion,” Italian Heart Journal, vol. 4, no. 11, pp. 791–796, 2003.
View at: Google Scholar
W. J. Kop, K. Hamulyak, C. Pernot, and A. Appels, “Relationship of blood coagulation and fibrinolysis to vital exhaustion,” Psychosomatic Medicine, vol. 60, no. 3, pp. 352–358, 1998.
View at: Google Scholar
K. Raikkonen, R. Lassila, L. Keltikangas-Jarvinen, and A. Hautanen, “Association of chronic stress with plasminogen activator inhibitor-1 in healthy middle-aged men,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 16, no. 3, pp. 363–367, 1996.
View at: Google Scholar
F. Geiser, C. Meier, I. Wegener et al., “Association between anxiety and factors of coagulation and fibrinolysis,” Psychotherapy and Psychosomatics, vol. 77, no. 6, pp. 377–383, 2008.
View at: Publisher Site | Google Scholar
S.-J. Tsai, C.-J. Hong, Y.-J. Liou, Y. W.-Y. Yu, and T.-J. Chen, “Plasminogen activator inhibitor-1 gene is associated with major depression and antidepressant treatment response,” Pharmacogenetics and Genomics, vol. 18, no. 10, pp. 869–875, 2008.
View at: Publisher Site | Google Scholar
S.-J. Hou, F.-C. Yen, and S.-J. Tsai, “Is dysfunction of the tissue plasminogen activator (tPA)-plasmin pathway a link between major depression and cardiovascular disease?” Medical Hypotheses, vol. 72, no. 2, pp. 166–168, 2009.
View at: Publisher Site | Google Scholar
M. H. Pietraszek, Y. Takada, M. Nishimoto, K. Ohara, K. Ohara, and A. Takada, “Fibrinolytic activity in depression and neurosis,” Thrombosis Research, vol. 63, no. 6, pp. 661–666, 1991.
View at: Publisher Site | Google Scholar
P. Monteleone, C. Serritella, V. Martiadis, and M. Maj, “Decreased levels of serum brain-derived neurotrophic factor in both depressed and euthymic patients with unipolar depression and in euthymic patients with bipolar I and II disorders,” Bipolar Disorders, vol. 10, no. 1, pp. 95–100, 2008.
View at: Publisher Site | Google Scholar
F. O. T. Akenami, M. Koskiniemi, M. Farkkila, and A. Vaheri, “Cerebrospinal fluid plasminogen activator inhibitor-1 in patients with neurological disease,” Journal of Clinical Pathology, vol. 50, no. 2, pp. 157–160, 1997.
View at: Google Scholar
L. Wang, J. Rockwood, D. Zak, S. Devaraj, and I. Jialal, “Simvastatin reduces circulating plasminogen activator inhibitor 1 activity in volunteers with the metabolic syndrome,” Metabolic Syndrome and Related Disorders, vol. 6, no. 2, pp. 149–152, 2008.
View at: Publisher Site | Google Scholar
H.-Y. Qu, Y.-W. Xiao, G.-H. Jiang, Z.-Y. Wang, Y. Zhang, and M. Zhang, “Effect of atorvastatin versus rosuvastatin on levels of serum lipids, inflammatory markers and adiponectin in patients with hypercholesterolemia,” Pharmaceutical Research, vol. 26, no. 4, pp. 958–964, 2009.
View at: Publisher Site | Google Scholar
Y. Young-Xu, K. A. Chan, J. K. Liao, S. Ravid, and C. M. Blatt, “Long-term statin use and psychological well-being,” Journal of the American College of Cardiology, vol. 42, no. 4, pp. 690–697, 2003.
View at: Publisher Site | Google Scholar
I. Mertens, A. Verrijken, J. J. Michiels, M. van der Planken, J. B. Ruige, and L. F. Van Gaal, “Among inflammation and coagulation markers, PAI-1 is a true component of the metabolic syndrome,” International Journal of Obesity, vol. 30, no. 8, pp. 1308–1314, 2006.
View at: Publisher Site | Google Scholar
F. W. Asselbergs, S. M. Williams, P. R. Hebert et al., “Gender-specific correlations of plasminogen activator inhibitor-1 and tissue plasminogen activator levels with cardiovascular disease-related traits,” Journal of Thrombosis and Haemostasis, vol. 5, no. 2, pp. 313–320, 2007.
View at: Publisher Site | Google Scholar
O. C. E. Gebara, M. A. Mittleman, P. Sutherland et al., “Association between increased estrogen status and increased fibrinolytic potential in the framingham offspring study,” Circulation, vol. 91, no. 7, pp. 1952–1958, 1995.
View at: Google Scholar
F. Linkov, Y. Gu, A. A. Arslan et al., “Reliability of tumor markers, chemokines, and metastasis-related molecules in serum,” European Cytokine Network, vol. 20, no. 1, pp. 21–26, 2009.
View at: Publisher Site | Google Scholar
K. R. Merikangas, H. Zhang, S. Avenevoli, S. Acharyya, M. Neuenschwander, and J. Angst, “Longitudinal trajectories of depression and anxiety in a prospective community study: the Zurich Cohort Study,” Archives of General Psychiatry, vol. 60, no. 10, pp. 993–1000, 2003.
View at: Publisher Site | Google Scholar
A. Tuttolomondo, A. Pinto, S. Corrao et al., “Immuno-inflammatory and thrombotic/fibrinolytic variables associated with acute ischemic stroke diagnosis,” Atherosclerosis, vol. 203, no. 2, pp. 503–508, 2009.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2010 Anne Huotari et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

2812

Downloads

620

Citations