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. 2015 Aug 9;2015:378658. doi: 10.1155/2015/378658

Chlamydia pneumoniae-Mediated Inflammation in Atherosclerosis: A Meta-Analysis

Simone Filardo 1, Marisa Di Pietro 1, Alessio Farcomeni 2, Giovanna Schiavoni 1, Rosa Sessa 1,*
PMCID: PMC4546765  PMID: 26346892

Abstract

Several studies have attempted to relate the C. pneumoniae-mediated inflammatory state with atherosclerotic cardiovascular diseases, providing inconsistent results. Therefore, we performed a meta-analysis to clarify whether C. pneumoniae may contribute to the pathogenesis of atherosclerosis by enhancing inflammation. 12 case-control, 6 cross-sectional, and 7 prospective studies with a total of 10,176 patients have been included in this meta-analysis. Odds Ratio (OR) with a 95% confidence interval was used to assess the seroprevalence of C. pneumoniae and differences between levels of inflammatory markers were assessed by standard mean differences. Publication bias was performed to ensure the statistical power. hsCRP, fibrinogen, interleukin- (IL-) 6, TNF-α, and IFN-γ showed a significant increase in patients with atherosclerosis compared to healthy controls (P < 0.05), along with a higher seroprevalence of C. pneumoniae (OR of 3.11, 95% CI: 2.88–3.36, P < 0.001). More interestingly, hsCRP, IL-6, and fibrinogen levels were significantly higher in C. pneumoniae IgA seropositive compared to seronegative atherosclerotic patients (P < 0.0001). In conclusion, the present meta-analysis suggests that C. pneumoniae infection may contribute to atherosclerotic cardiovascular diseases by enhancing the inflammatory state, and, in particular, seropositivity to C. pneumoniae IgA, together with hsCRP, fibrinogen, and IL-6, may be predictive of atherosclerotic cardiovascular risk.

1. Introduction

Atherosclerosis, a chronic inflammatory disease of multifactorial aetiology, typically begins with endothelial dysfunction followed by low density lipoprotein (LDL) infiltration of the arterial intima, mononuclear cell recruitment into vascular wall, and the differentiation of macrophages in foam cells [1, 2]. Macrophages and foam cells, within the evolving atherosclerotic lesion, secrete various proinflammatory cytokines, such as interleukin- (IL-) 6, interferon- (IFN-) γ, tumor necrosis factor- (TNF-) α, and chemokines, including intercellular adhesion molecule- (ICAM-) 1 and vascular cell adhesion molecule- (VCAM-) 1. In response to proinflammatory cytokines, endothelial cells express high levels of leukocyte adhesion molecules on their surface, leading to further mononuclear cell recruitment and, hence, to a chronic inflammatory state [3, 4]. As a result, the formation, progression, and destabilisation of atherosclerotic plaque occur, leading to cardiovascular diseases, a major public health problem in developed countries, accounting for one-third of all deaths worldwide [5].

In the last decades, several infectious agents have been related to the pathogenesis of atherosclerotic cardiovascular diseases, and current opinion is that the most implicated pathogen is Chlamydia pneumoniae, an obligate intracellular microorganism, known as being responsible for respiratory tract infections [6, 7].

The association between C. pneumoniae and atherosclerotic cardiovascular diseases has been well documented by seroepidemiological studies [812], direct detection of microorganism within atherosclerotic plaque [1317], and in vivo studies showing an atherosclerotic lesion exacerbation following C. pneumoniae inoculation of hyperlipidemic animal models [1823].

C. pneumoniae is presumed to play a role in atherosclerotic cardiovascular diseases for its ability to systematically disseminate from the lung through peripheral blood mononuclear cells and to localise in extrapulmonary tissues, such as the vascular wall [2428]. Once being inside the vascular tissue, C. pneumoniae has been shown to act directly on the cells involved in atherosclerotic process, contributing to endothelial dysfunction, foam cell formation, vascular smooth muscle cell (VSMC) proliferation and migration, and platelet aggregation [2933]. Indeed, C. pneumoniae is able to multiply within macrophages, platelets, endothelial cells, and VSMCs and to induce the elicitation of proinflammatory cytokines, such as IL-6, IFN-γ, and TNF-α, and adhesion molecules, such as ICAM-1 and VCAM-1, as well as reactive oxygen species, thus contributing to the chronic inflammatory state responsible for the initiation, progression, and destabilisation of atherosclerotic plaque [3440].

Specifically, C. pneumoniae persistent form seems to be responsible for chronic infection and, hence, for the inflammatory process underlying atherosclerosis, since it is able to endure for a long time inside host cells [41, 42].

In addition to the direct effect on vascular cells, previously described, C. pneumoniae has also shown to contribute to the systemic inflammation involved in the pathogenesis of atherosclerotic cardiovascular diseases, as evidenced by high levels of IL-6 and high sensitivity c-reactive protein (hsCRP) [7, 43].

Given the central role of inflammation in the atherosclerotic process and the inflammatory effects of C. pneumoniae, several studies have attempted to relate the C. pneumoniae-mediated inflammatory state with atherosclerotic cardiovascular diseases, providing inconsistent results.

We performed, therefore, a meta-analysis to clarify whether C. pneumoniae may contribute to the pathogenesis of atherosclerotic cardiovascular diseases by the means of enhanced inflammatory state.

2. Materials and Methods

2.1. Search Strategy

We performed a systematic search of all articles in journals indexed on the electronic databases PubMed and Scopus up to December 2014. The search terms used were “chlamydia pneumoniae” or “chlamydophila pneumoniae,” “inflammatory markers” or “inflammation,” “atherosclerosis,” and “cardiovascular disease.” The reference lists of reviews and retrieved articles were hand-searched simultaneously. When more than one of the same patient population was included in several publications, only the most recent or complete study was included in this meta-analysis.

2.2. Inclusion and Exclusion Criteria

The inclusion criteria in this meta-analysis were as follows: (i) studies comparing atherosclerotic patients with healthy subjects (control group) in relation to the seropositivity to C. pneumoniae IgG or IgA, (ii) studies comparing atherosclerotic patients in relation to the seropositivity to C. pneumoniae IgG or IgA, and (iii) studies analysing the levels of inflammatory markers.

Case reports, reviews, letters, and studies which did not present their results in a correct and/or explicit manner, animal studies, and studies where the control groups were made up of patients with other chronic inflammatory disorders were excluded from our meta-analysis. We did not define any minimum number of patients to include a study in our meta-analysis.

2.3. Data Extraction

Information was carefully extracted from all eligible publications independently by two authors according to the inclusion and exclusion criteria listed above. Disagreement was resolved by discussion between the two authors. The following data were collected from each study: first author's surname, year of publication, study design, type of cases, type of controls, total numbers of cases and controls, prevalence of traditional risk factors for CVD (obesity, diabetes, smoking, dyslipidemia, and hypertension), the prevalence of C. pneumoniae antibodies (IgA or IgG), determined by microimmunofluorescence or ELISA, and the levels of inflammatory markers (CRP, IL-6, fibrinogen, IFN-γ, TNF-α, ICAM-1, and VCAM-1).

Only inflammatory markers analysed by at least two studies were included in our meta-analysis.

2.4. Statistical Analysis

Differences between groups were assessed by means of differences in averages and standard deviations of the difference, as markers assessed were all continuous. Standard errors were computed after a normal approximation. Pooled effects were computed by means of a meta-analysis. The meta-analysis conducted was strictly under heterogeneity among studies, by means of a hierarchical Bayesian model. Effect sizes were assumed to be normally distributed. Each study effect was assumed to arise from a Gaussian centered on a study-specific effect and the extracted standard error, inflated by 25% to obtain a conservative statement. The study-specific effect was assumed to be Gaussian, centered on an unknown pooled effect, which is the main object of interest. An informative prior was used for the variance of the pooled effect, as an inverse Gamma centered on an estimator obtained with a moment-based approach (inflated by 25% to obtain a conservative statement). We also estimated posterior probabilities of no difference (P). P of less than 0.05 was considered as statistically significant. Potential publication bias was estimated using Egger's linear regression test and funnel plots. Sensitivity analyses were assessed by deleting each study; in all cases, pooled estimates were very stable.

All data were collected using Microsoft Office Excel 2007; statistical analyses were performed using R software.

3. Results

3.1. Study Characteristics

25 studies concerning the association of C. pneumoniae and atherosclerosis through inflammation met the inclusion criteria and comprised 12 case-control, 6 cross-sectional, and 7 prospective studies [4468]. Overall, a total of 3633 cases and 2781 controls for the case-control analysis, 1593 seropositive and 915 seronegative patients for the C. pneumoniae IgG seropositive-seronegative analysis, and 528 seropositive and 726 seronegative patients for the C. pneumoniae IgA seropositive-seronegative analysis were considered. One publication had apparently overlapping cases with a second study, so that we extracted only the most relevant data from both studies. Table 1 presents the main characteristics of the included studies for the case-control analysis, whereas Table 2 presents the main characteristics of the included studies for the seropositive to seronegative analysis according to C. pneumoniae IgG and IgA. Controls were mainly healthy population and matched for age and sex.

Table 1.

Characteristics of the studies included in the case-control analysis.

First author Year Country Cases Number of cases Number of controls Study design Serology assay
Mundkur [68] 2012 India CAD 433 433 Prospective ELISA
Haider [67] 2011 India CAD 63 40 Cross-sectional ELISA
Jha [65] 2009 India CAD 192 192 Case-control ELISA
Jafarzadeh [64] 2008 Iran IHD 62 31 Case-control ELISA
Videm [63] 2007 Norway CAD 131 103 Case-control ELISA
Corrado [59] 2006 Italy A 456 212 Prospective ELISA
Kaperonis [61] 2006 Greece PAD 51 30 Cross-sectional ELISA
Romano Carratelli [62] 2006 Italy CAD 60 20 Case-control MIF
Adiloglu [57] 2005 Turkey A 88 91 Case-control ELISA
Lanza [55] 2004 Italy SA, cardiac SX 104 60 Case-control MIF
Linares-Palomino [56] 2004 Spain PAD 64 50 Case-control MIF
Biasucci [51] 2003 Italy UA, MI 259 100 Prospective MIF
Georges [53] 2003 Germany SA, UA 991 333 Case-control MIF
Bloemenkamp [49] 2002 Netherlands PAD 228 643 Case-control ELISA
Gattone [46] 2001 Italy MI 120 120 Case-control MIF
Anderson [44] 1998 USA CAD, MI 331 323 Case-control MIF

CAD, coronary artery disease; IHD, ischemic heart disease; A, atherosclerosis; PAD, peripheral artery disease; SA, stable angina; SX, syndrome X; UA, unstable angina; MI, myocardial infarction.

Table 2.

Characteristics of the studies included in the C. pneumoniae IgG and IgA analysis.

First author Year Country Cases Number of cases Number of controls Study design Serology assay
IgG
Nazmi [66] 2010 USA CAD 697 288 Cross-sectional MIF
Jitsuiki [60] 2006 Japan A 136 123 Cross-sectional ELISA
Adiloglu [57] 2005 Turkey A 227 17 Case-control ELISA
Zairis [54] 2003 Greece SA, UA 182 214 Prospective MIF
Altman [48] 2002 Argentina CAD 107 52 Case-control MIF
Schumacher [50] 2002 Norway CAD 119 74 Cross-sectional ELISA
Sander [47] 2001 Germany TIA, IS 125 147 Prospective MIF

IgA
Jha [65] 2009 India CAD 155 37 Case-control ELISA
Jitsuiki [60] 2006 Japan A 92 167 Cross-sectional ELISA
Schumacher [58] 2005 Norway CAD 63 130 Cross-sectional MIF
Gabriel [52] 2003 Sweden CAD 38 15 Prospective MIF
Zairis [54] 2003 Greece SA, UA 87 214 Prospective MIF
Toss [45] 1998 Sweden UA 93 163 Prospective MIF

CAD, coronary artery disease; A, atherosclerosis; SA, stable angina; UA, unstable angina; TIA, transient ischemic attack; IS, ischemic stroke.

3.2. Meta-Analysis Results

The meta-analysis was performed on 16 studies (case-controls analysis, Table 1) comparing atherosclerotic patients with healthy controls in relation to the seropositivity to C. pneumoniae and levels of inflammatory markers (hsCRP, IL-6, fibrinogen, TNF-α, IFN-γ, ICAM-1, and VCAM-1) [44, 46, 49, 51, 53, 5557, 59, 6165, 67, 68]. C. pneumoniae seroprevalence was 59.2% (95% CI: 57.8–60.7) in cases and 31.2% (95% CI: 30.0–32.5) in controls, with an OR of 3.11 (95% CI: 2.88–3.36, P < 0.001). Concerning the inflammatory markers, hsCRP, IL-6, fibrinogen, TNF-α, and IFN-γ showed a significant increase in patients with atherosclerosis compared to health controls (P < 0.05), whereas the adhesion molecules ICAM-1 and VCAM-1 did not show any significant difference (P > 0.05) (Table 3, Figure 1).

Table 3.

Summary of SMDs and 95% CI of inflammatory marker levels in case-control analysis.

hsCRP (mg/L) IL-6 (ng/mL) Fibrinogen (mg/dL) TNF-α (pg/mL) IFN-γ (pg/mL) ICAM-1 (ng/mL) VCAM-1 (ng/mL)
SMD 6.360 7.861 5.627 9.467 4.320 0.001 3.722
95% CI 5.76–6.96 7.40–8.32 0.65–10.60 6.45–12.49 2.32–6.32 −0.25–0.25 −1.46–8.90
P value <0.0001 <0.0001 0.00895 <0.0001 <0.0001 0.49628 0.06611

SMD, standard mean difference; CI, confidence interval.

Figure 1.

Figure 1

Forest plot of standardized mean differences (SMDs) of individual studies and pooled SMDs for hsCRP (a), IL-6 (b), and fibrinogen (c) in patients with atherosclerotic cardiovascular diseases and healthy controls.

In addition, the meta-analysis was also performed on studies comparing atherosclerotic patients seropositive to C. pneumoniae IgG or IgA with seronegative patients. Specifically, 7 studies comparing atherosclerotic patients seropositive to C. pneumoniae IgG with seronegative patients (C. pneumoniae IgG analysis, Table 2) [47, 48, 50, 54, 57, 60, 66] and 6 studies comparing atherosclerotic patients seropositive to C. pneumoniae IgA with seronegative patients (C. pneumoniae IgA analysis, Table 2) [45, 52, 54, 58, 60, 65], both according to levels of inflammatory markers (hsCRP, IL-6, fibrinogen, and IFN-γ), were evaluated.

For the C. pneumoniae IgG analysis, hsCRP, IL-6, and fibrinogen levels were significantly higher in seropositive compared to seronegative patients (P < 0.0001) (Figure 2).

Figure 2.

Figure 2

Forest plot of standardized mean differences (SMDs) of individual studies and pooled SMDs for hsCRP (a), IL-6 (b), and fibrinogen (c) in C. pneumoniae IgG seropositive and seronegative patients with atherosclerotic cardiovascular diseases.

For the C. pneumoniae IgA analysis, hsCRP, IL-6, and fibrinogen were markedly increased in seropositive patients (P < 0.01), whereas IFN-γ did not show any significant difference between seropositive and seronegative patients (P > 0.05) (Figure 3).

Figure 3.

Figure 3

Forest plot of standardized mean differences (SMDs) of individual studies and pooled SMDs for hsCRP (a), IL-6 (b), and fibrinogen (c) in C. pneumoniae IgA seropositive and seronegative patients with atherosclerotic cardiovascular diseases.

Results are independent of the main confounding factors as the meta-analysis was computed under heterogeneity. We also have verified that they could not form a relationship with mean age and study proportions of males, patients with diabetes, hypertension, obesity, smoking, dyslipidemia, and risk factors for CVDs.

3.3. Publication Bias

Funnel plots and Egger's test were performed to assess publication bias. Publication bias was detected only for meta-analysis of fibrinogen with IgA (P = 0.012). In particular no publication bias was detected for hsCRP for IgA (P = 0.200), IgG (P = 0.890), and case-control data (P = 0.122).

4. Discussion

Atherosclerosis, precursor to cardiovascular diseases, is recognised as a chronic inflammatory disease of large arteries, involving cytokines, such as IFN-γ and TNF-α, adhesion molecules, such as ICAM-1 and VCAM-1, and several plasma inflammatory markers, such as hsCRP, IL-6, and fibrinogen [2, 3]. The latter have been demonstrated to better correlate with the chronic inflammation underlying atherosclerotic cardiovascular diseases; in fact, IL-6, a proinflammatory cytokine that plays a role in the instability of a vulnerable plaque, and hsCRP, an acute-phase protein, appear to be strong independent predictors of cardiovascular events [3]. Lastly, fibrinogen, a substrate leading to the generation of thrombin, the end point of the hemostatic process, is involved in the early formation and growth of the atherosclerotic plaque [69].

As previously described, C. pneumoniae has been suggested to contribute to the chronic inflammation underlying the atherosclerotic process, as evidenced by elevated levels of circulating inflammatory markers in atherosclerotic patients. Gattone et al., in 2001, have suggested, for the first time, the association of C. pneumoniae seropositivity and high hsCRP levels, with increased risk of myocardial infarction [46]. Since then, other studies [47, 49, 50, 52, 57, 61, 64, 67] have supported the relationship between C. pneumoniae infection and atherogenesis through systemic inflammation. On the other hand, some studies have failed to demonstrate such association [44, 48, 55, 68], thus making it difficult to draw conclusions.

To the best of our knowledge, our study is the first meta-analysis to evaluate whether C. pneumoniae may contribute to the pathogenesis of atherosclerotic cardiovascular diseases by the means of enhanced inflammation, assessed by levels of inflammatory markers.

The first result of our meta-analysis showed a significant increase in hsCRP, fibrinogen, IL-6, TNF-α, and IFN-γ in atherosclerotic patients compared to healthy controls. These data, together with the higher seroprevalence of C. pneumoniae in atherosclerotic patients compared to healthy controls (P < 0.001), suggest that C. pneumoniae infection may contribute to the chronic inflammation underlying the development and progression of atherosclerosis, even though it is not possible to establish a causal relationship.

Consequently, in order to better define the contribution of C. pneumoniae on the inflammation underlying atherosclerosis, we performed a further analysis on studies comparing the levels of inflammatory markers in atherosclerotic patients seropositive to C. pneumoniae IgG or IgA with seronegative patients.

The more relevant data is that C. pneumoniae IgA seropositivity was overall more strongly related to the inflammatory state than IgG seropositivity. Indeed, our results showed an increase of inflammatory marker levels, such as hsCRP, fibrinogen, and IL-6, in IgA seropositive patients. Specifically, the standard mean differences of hsCRP, fibrinogen, and IL-6 were, respectively, 7.17, 7.79, and 1.37 times higher in the IgA compared to the IgG analysis, thus showing that seropositivity to C. pneumoniae IgA might better correlate to a chronic inflammatory state in patients with atherosclerosis. This is not particularly surprising since C. pneumoniae IgA is considered a marker of chronic infection, known to be involved in chronic disorders.

The main strength of our meta-analysis is the statistical robustness of our data, since the results were not affected by exclusion of any specific study from the pooled analysis.

However, our meta-analysis has potential limitations. First, since multiple infectious agents, labeled as infectious burden, rather than any single pathogen, have been shown to contribute to the pathogenesis of atherosclerosis, the inflammatory effect of C. pneumoniae might be overestimated. Of note, in all the studies included in our meta-analysis, data regarding other infectious agents were missing or incomplete and, hence, we were not able to quantify their influence on chronic inflammation. Second, potential bias might be introduced in that not all the included studies reported data concerning the confounding factors. Lastly, two different diagnostic tests, along with different cutoffs, were used for detecting C. pneumoniae seropositivity in the included studies and, hence, may partly account for further bias.

5. Conclusions

In conclusion, despite some limitations, our study suggests that C. pneumoniae infection may contribute to atherosclerotic cardiovascular diseases by enhancing the inflammatory state, as demonstrated by increased levels of systemic inflammatory markers. Furthermore, seropositivity to C. pneumoniae IgA, together with hsCRP, fibrinogen, and IL-6, may be predictive of atherosclerotic cardiovascular risk.

In the future, large scale, prospective, and well-designed studies should be needed to deepen our knowledge concerning the causative role of C. pneumoniae in inflammation in atherosclerotic cardiovascular diseases.

Supplementary Material

The standard mean differences with 95% confidence interval of inflammatory marker levels, between patients seropositive and seronegative to anti-chlamydial antibodies were assessed. The association of hsCRP, IL-6 and fibrinogen with C. pneumoniae IgG (Table S1) or IgA (Table S2) was observed (P < 0.0001).

378658.f1.doc (35KB, doc)

Acknowledgment

This study was supported by grants from Center for Social Disease Research, “Sapienza” University Rome, to Rosa Sessa.

Conflict of Interests

The authors declare that they have no conflict of interests.

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Associated Data

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Supplementary Materials

The standard mean differences with 95% confidence interval of inflammatory marker levels, between patients seropositive and seronegative to anti-chlamydial antibodies were assessed. The association of hsCRP, IL-6 and fibrinogen with C. pneumoniae IgG (Table S1) or IgA (Table S2) was observed (P < 0.0001).

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