Zhida Wang1, Wang Cai2, Shaolan Hu1, Yufei Xia3, Yao Wang4, Qi Zhang5, Liming Chen1. 1. Key Laboratory of Hormones and Development (Ministry of Health) - Tianjin Key Laboratory of Metabolic Diseases - Tianjin Metabolic Diseases Hospital & Tianjin Institute of Endocrinology - Tianjin Medical University, Tianjin - China. 2. Department of Surgery - Tianjin Nankai Hospital - Tianjin Medical University, Tianjin, China. 3. School of Nursing - Tianjin Medical University, Tianjin - China. 4. Department of Pharmacology - School of Basic Medical Science - Tianjin Medical University, Tianjin - China. 5. Institute of Integrative Medicines for Acute Abdominal Diseases - Nankai Hospital, Tianjin - China.
Abstract
BACKGROUND: : Cell-derived microvesicles (MVs) are vesicles released from activated or apoptotic cells. However, the levels of MVs in myocardial infarction have been found inconsistent in researches. OBJECTIVE: : To assess the association between MVs and myocardial infarction by conducting a meta-analysis. METHODS: : A systematic literature search on PubMed, Embase, Cochran, Google Scholar electronic database was conducted. Comparison of the MVs levels between myocardial infarction patients and healthy persons were included in our study. Standard Mean Difference (SMD) and 95% confidence interval (CI) in groups were calculated and meta-analyzed. RESULTS: : 11 studies with a total of 436 participants were included. Compared with the health persons, AMVs [SMD = 3.65, 95% CI (1.03, 6.27)], PMVs [SMD = 2.88, 95% CI (1.82, 3.93),] and EMVs [SMD = 2.73, 95% CI (1.13, 4.34)], levels were higher in patients with myocardial infarction. However, LMVs levels [SMD = 0.73, 95% CI (-0.57, 2.03)] were not changed significantly in patients with myocardial infarction. CONCLUSIONS: : AMVs, PMVs and EMVs might be potential biomarkers for myocardial infarction. FUNDAMENTOS:: As microvesículas derivadas de células (MVs) são vesículas liberadas de células ativadas ou apoptóticas. No entanto, os níveis de MVs no infarto do miocárdio foram encontrados inconsistentes nas pesquisas. OBJETIVO:: Avaliar a associação entre MV e infarto do miocárdio por meio de uma meta-análise. MÉTODOS:: Foi realizada uma pesquisa sistemática na literatura em PubMed, Embase, Cochran e no banco de dados eletrônico do Google Scholar. Uma comparação dos níveis de MV entre pacientes com infarto do miocárdio e pessoas saudáveis foi incluída no nosso estudo. A Diferença Média Padrão (DMP) e o intervalo de confiança (IC) de 95% nos grupos foram calculadas e meta-analisadas. RESULTADOS:: Foram incluídos 11 estudos com um total de 436 participantes. Em comparação com as pessoas saudáveis, as MVA [DMP = 3,65, IC 95% (1,03, 6,27)], MVPs [DMP = 2,88, IC 95% (1,82, 3,93)] e MVEs [DMP = 2,73, IC 95% (1,13, 4.34)], foram maiores em pacientes com infarto do miocárdio. No entanto, os níveis de MVL [DMP = 0,73, IC 95% (-0,57, 2,03)] não foram alterados significativamente em pacientes com infarto do miocárdio. CONCLUSÕES:: MVAs, MVPs e MVEs podem ser biomarcadores potenciais para o infarto do miocárdio.
BACKGROUND: : Cell-derived microvesicles (MVs) are vesicles released from activated or apoptotic cells. However, the levels of MVs in myocardial infarction have been found inconsistent in researches. OBJECTIVE: : To assess the association between MVs and myocardial infarction by conducting a meta-analysis. METHODS: : A systematic literature search on PubMed, Embase, Cochran, Google Scholar electronic database was conducted. Comparison of the MVs levels between myocardial infarction patients and healthy persons were included in our study. Standard Mean Difference (SMD) and 95% confidence interval (CI) in groups were calculated and meta-analyzed. RESULTS: : 11 studies with a total of 436 participants were included. Compared with the health persons, AMVs [SMD = 3.65, 95% CI (1.03, 6.27)], PMVs [SMD = 2.88, 95% CI (1.82, 3.93),] and EMVs [SMD = 2.73, 95% CI (1.13, 4.34)], levels were higher in patients with myocardial infarction. However, LMVs levels [SMD = 0.73, 95% CI (-0.57, 2.03)] were not changed significantly in patients with myocardial infarction. CONCLUSIONS: : AMVs, PMVs and EMVs might be potential biomarkers for myocardial infarction. FUNDAMENTOS:: As microvesículas derivadas de células (MVs) são vesículas liberadas de células ativadas ou apoptóticas. No entanto, os níveis de MVs no infarto do miocárdio foram encontrados inconsistentes nas pesquisas. OBJETIVO:: Avaliar a associação entre MV e infarto do miocárdio por meio de uma meta-análise. MÉTODOS:: Foi realizada uma pesquisa sistemática na literatura em PubMed, Embase, Cochran e no banco de dados eletrônico do Google Scholar. Uma comparação dos níveis de MV entre pacientes com infarto do miocárdio e pessoas saudáveis foi incluída no nosso estudo. A Diferença Média Padrão (DMP) e o intervalo de confiança (IC) de 95% nos grupos foram calculadas e meta-analisadas. RESULTADOS:: Foram incluídos 11 estudos com um total de 436 participantes. Em comparação com as pessoas saudáveis, as MVA [DMP = 3,65, IC 95% (1,03, 6,27)], MVPs [DMP = 2,88, IC 95% (1,82, 3,93)] e MVEs [DMP = 2,73, IC 95% (1,13, 4.34)], foram maiores em pacientes com infarto do miocárdio. No entanto, os níveis de MVL [DMP = 0,73, IC 95% (-0,57, 2,03)] não foram alterados significativamente em pacientes com infarto do miocárdio. CONCLUSÕES:: MVAs, MVPs e MVEs podem ser biomarcadores potenciais para o infarto do miocárdio.
Ischemic Heart Disease (IHD) is one of the cardiovascular diseases, which impairs
human health.[1] Atherothrombosis,
endothelial dysfunction and cell apoptosis are on the pathologic basis in these
diseases. The relevant studies in this area have suggested that cell-derived
microvesicles (MVs) are related with platelet activation, endothelial damage and
inflammation associated with the existence of cardiovascular risk factors.[2-4] Since they are involved in the pathophysiologic process of
diseases, attention has being focused on the relationship between MVs and myocardial
infarction (MI).[5-8] Increasing evidences imply that MVs might be
considered as novel biomarkers or mediators helpful in understanding the mechanisms
of cardiovascular diseases.MVs are used to describe a population of sub-cellular vesicles released from plasma
membrane during cell activation or apoptosis and identified by size range from 100
nm to 1.0 µm in diameter. MVs constitute a heterogeneous population,
different in cellular origin, numbers, size, antigenic composition, and functional
properties. Alterations in the amounts of different cell-derived MVs may provide
information on the pathophysiologic changes. Although many studies have shown that
myocardial infarction is associated with MVs, the information obtained shows
heterogeneous result, with a high variation regarding MVs size, MVs type, MVs
levels, inclusion criteria and methods. Thus, we performed a meta-analysis of the
changes of Annexin V positive MVs (AMVs), platelet MVs (PMVs), endothelial MVs
(EMVs) and leukocytes MVs (LMVs) in patients with myocardial infarction and healthy
persons.
Methods
Data Sources and Searches
We searched the databases of MEDLINE (pubmed), Embase, Cochrane and Google
Scholar electronic database for articles from 2000 to 2013. All searches were
applied with the following medical subject headings: “myocardial infarction”,
“primary percutaneous coronary intervention”, “stenting”, “balloon angioplasty”,
“acute coronary syndrome” or “coronary ischemia”, “microparticles”,
“cell-derived microparticles”, “circulating microparticles”, “microvesicles”.
These searches were restricted to publications limited to research on humans. A
manual search for references cited in the published studies and relevant review
articles was also performed to identify additionally suitable investigations for
our purpose. For unpublished and published studies that were not exhaustively
disclosed, the attempt through e-mail was made to contact principal
investigators in order to retrieve missing data. Finally, well-known experts in
this area were contacted to ensure that all relevant data were captured.
Study Selection
Two of us performed the identification of relevant abstracts and the selection of
studies based on the criteria described below independently, and a third
investigator resolved any discrepancy. We selected studies comparing the levels
of diverse MVs: total, platelet-, endothelial-, leukocyte-derived between
healthy persons and patients with myocardial infarction.Studies were included if they met the following criteria: (i) Study entitled
circulating MVs correlated with MI; (ii) Design of study was case-control study
or cohort study; (iii) The MI as a research subgroup independently extract
relevant information MI. We excluded the following: (i) Review; (ii) Not full
text, only a summary; (iii) Animal testing.
Data Extraction and Synthesis
We extracted information including study and population characteristics, sample
size, study design, and outcomes relevant to this study. Means and standard
deviations of MVs levels were extracted. When an article complied with the
inclusion criteria but lacked information on parameters for analysis, or when
outcomes were reported but not related to myocardial infarction, we contacted
the authors to obtain raw data. The quality of studies was assessed using the
Downs and Black checklist.
Statistical Analysis
The data was analyzed using RevMan 5.0 statistical software provided by the
Cochrane Collaboration analyzed. SMD and 95% CI were used as summary estimates.
The presence of heterogeneity between studies was tested with the χ² test
for heterogeneity and the I² statistic. Heterogeneity was significant when p<
0.05 or I² was more than 50%. A random-effects model was used in all analyses to
test the stability of the results to the choice of the statistical model. If
significant heterogeneity, results of the random-effects model are used. We
defined a priori sensitivity analysis of high-quality studies for each clinical
outcome. The potential for publication bias was evaluated using the funnel plot
approach.
Results
Search Results
172 articles identified from MEDLINE (pubmed), Embase, Cochrane and Google
Scholar electronic database were analyzed; and then, 140 were excluded based on
title and abstract. After detailed evaluation of potential eligibility, 11
studies met all the inclusion criteria and were retrieved for
meta-analysis.[9-19] The trial flowchart is
summarized in Figure 1.
Figure 1
Flow diagram of search strategy and study selection.
Flow diagram of search strategy and study selection.
Baseline Characteristics of the studies
The characteristics of all included studies are presented in Table 1. These studies were published from
2004 to 2013. Sample size ranged from 5 to 61. A total of 436 participants (186
healthy controls and 250 MI patients) were included. Among these studies, the
results of MVs were expressed differently. Six reports were expressed as numbers
of MVs in plasma per microliter, milliliter and liter. Three reports were
expressed as PS eq (phosphatidylserine equivalents), one report was expressed as
numbers of MVs in platelet count, and one report was expressed as plasma
concentrations of MVs. There were four reports only report the median, range and
the size of the trial. In order to estimate the mean and the variance in these
articles, we used the number of sample and elementary inequalities.[20]
Table 1
Characteristic of included studies
Author/Year
Study object
Measurement method of MVs
Units of MVs
Sample size
MI
Control
MI/Control
Cui Y/2013
STEMI/NSTEMI
Health
Flow cytometry
105/mL
40/20
Del Turco S/2008
MI
Health
Flow cytometry
106/L
46/10
Leong H S/2011
AMI
Health
Flow cytometry
/µL
6/5
Matsumoto N/2004
ACS
Health
Flow cytometry
104/platelet count
41/20
Michelsen A E/2008
MI
Health
BCA Protein Assay
µg/L
61/61
Min P K/2013
STEMI
Health
ELISA
nM (phosphatidylserine equivalent)
45/16
Morel O/2004
STEMI
Health
ELISA
nM (PhtdSer equivalent)
50/50
Morel O/2005
STEMI
Health
ELISA
nM (PhtdSer equivalent)
9/50
Skeppholm M/2012
STEMI/NSTEMI
Health
Flow cytometry
106/L
51/61
Stepien E/2012
AMI
Health
Flow cytometry
/µL
12/9
Tan K T/2005
ACS
Health
Flow cytometry
105/mL
54/35
Characteristic of included studies
Quality Index
The majority of studies scored highly on reporting of the interventions used and
outcome measures. Only one report scored lowly on the small sample size. The
average score of all studies was 15.8 (Table
2).
Table 2
Quality Index of included studies
Author/Year
Quality Index
Cui Y/2013
16
Del Turco S/2008
16
Leong H S/2011
14
Matsumoto N/2004
16
Michelsen A E/2008
16
Min P K/2013
16
Morel O/2004
16
Morel O/2005
16
Skeppholm M/2012
16
Stepien E/2012
16
Tan K T/2005
16
Quality Index of included studies
Annexin V+ microvesicles in health control and patients with myocardial
infarction
Four of the eleven studies showed changes in AMVs levels between patients with
myocardial infarction and healthy controls. In three of these reports, AMVs
levels in patients with myocardial infarction were higher than healthy controls.
Only in one study, patients with myocardial infarction did not differ from
healthy controls concerning AMVs levels. When results of all studies were
combined, there was a significant difference between groups with higher AMVs
levels in patients with a myocardial infarction [SMD = 3.65, 95% CI (1.03,
6.27), Z = 2.73 (p < 0.00001; Figure
2A)]. Furthermore, there was significant statistical heterogeneity across
studies (χ2= 95.64, df = 3, p < 0.00001, I2=
97%). As shown in Figure 2B, no publication
bias was found.
Figure 2
The forest plot (A) and funnel plot (B) of meta-analysis of Annexin
V+ microvesicles in myocardial infarction.
The forest plot (A) and funnel plot (B) of meta-analysis of Annexin
V+ microvesicles in myocardial infarction.
Platelet microvesicles in health control and patients with myocardial
infarction
All of eleven studies found PMVs levels varied between myocardial infarction
patients and healthy controls. Nine studies reported that level of PMVs were
higher in MI patients, whereas the other studies showed no difference in groups.
Combining the results of all studies, it was significantly increased in
myocardial infarction patients [SMD = 2.88, 95% CI (1.82, 3.93), Z = 5.35 (p
< 0.00001; Figure 3A)]. There was also
significant statistical heterogeneity across studies (χ2=
235.02, df = 10, p < 0.00001, I2= 96%). As shown in Figure 3B, a little publication bias was
found.
Figure 3
The forest plot (A) and funnel plot (B) meta-analysis of platelet
microvesicles in myocardial infarction.
The forest plot (A) and funnel plot (B) meta-analysis of platelet
microvesicles in myocardial infarction.
Endothelial microvesicles in health control and patients with myocardial
infarction
Six of the eleven studies reported alternation in EMVs levels between the two
groups. Four reports concluded that a proportion of MI patients have elevated
EMVs levels. But the other studies showed no significant difference. Combining
all results of those studies, MI patients had a higher level of EMVs. [SMD =
2.73, 95% CI (1.13, 4.34), Z = 3.33 (p = 0.0009; Figure 4A)]. The statistical heterogeneity was significant across
studies (χ2= 155.28, df = 6, p < 0.00001, I2=
96%). As shown in Figure 4B, no publication
bias was found.
Figure 4
The forest plot (A) and funnel plot (B) meta-analysis of endothelial
microvesicles in myocardial infarction.
The forest plot (A) and funnel plot (B) meta-analysis of endothelial
microvesicles in myocardial infarction.
Leukocyte microvesicles in health control and patients with myocardial
infarction
Five of the eleven studies exhibited differences in LMVs levels between
myocardial infarction patients and health controls. Four reports showed that
LMVs levels in myocardial infarction patients were higher than health controls.
The finding of one report was, however, in the opposite direction, with patients
having significantly lower LMVs levels than controls. When results of all
studies were combined, there was no significant difference between the two
groups [SMD = 0.73, 95% CI (-0.57, 2.03), Z = 1.11 (p = 0.27; Figure 5A)]. There was also significant
statistical heterogeneity across studies (χ2= 90.69, df = 4, p
< 0.00001, I2= 96%). As shown in Figure 5B, no publication bias was found.
Figure 5
The forest plot (A) and funnel plot (B) meta-analysis of leukocyte
microvesicles in myocardial infarction.
The forest plot (A) and funnel plot (B) meta-analysis of leukocyte
microvesicles in myocardial infarction.
Discussion
We conducted an exhaustive search to identify studies related to our question and
gave the most comprehensive overview of MVs in MI to date. Systematic methods were
applied to reduce bias in the identification of studies, data extraction and
synthesis, and appraisal of study quality. This meta-analysis showed that higher
level of AMVs, PMVs and EMVs in peripheral blood might be associated with patients
with MI, indicating that these MVs may be helpful in the diagnosis of MI. However,
the result of LMVs was negative.Microvesicles (MVS) or microparticles (MPS) have relationship not only with
inflamatory and thrombotic processes but with tissue regenerative process and
angiogenesis, which can be a protective function. In addition, MVS can be a signaler
of homeostasis balancing cell stimulus and apoptosis. Diabetic patients have
increased release of MVS and this can be a biomarker of diabetic progression by
retinopathy. Pharmacologic approach is helpful because of endothelial dysfunction.
Renin-angiotensin system blocker and calcium channel blocker may be good options in
type 2 diabetes mellitus.[21]
Pinheiro et al.[22] have assessed
the effect of the antiplatelet drug clopidogrel in association or not with
rosuvastatin (40 mg) on the levels of EMP and PMP in patients with stable coronary
disease on statins for at least three months. Those authors have identified an
increase in the levels of PMP after suspension of rosuvastatina and maintenance of
only clopidogrel for four weeks and a tendency towards greater release of EMP in
those patients. They have suggested that an increase in the apoptosis of platelets
occurred, and that rosuvastatin might have a protective effect on the endothelium
when associated with clopidogrel.[22] In a similar study, França et al.[23] have assessed the influence of
atorvastatin (80 mg) in association or not with clopidogrel in patients with stable
coronary disease. Those authors have suggested higher vascular stability promoted by
atorvastatin after identifying an inverse relationship between the plasma
concentration of atorvastatin and the levels of PMP.[23]MVs have a bilayered phospholipid membrane.[24] The presence of externalized PS on MVs surfaces indicates
an altered phospholipid distribution profile compared to the plasma membrane of a
resting mammalian cell. Additionally, the molecules present in the outer surface,
once defined, provide accessible markers for detecting and characterizing MVs using
molecular probes.[25] AMVs express
phosphatidylserine (PS) in their surface and are currently defined as apoptotic MVs.
It is shown that AMVs levels were significantly higher in patients with MI than
healthy controls. It is likely due to the myocardial ischemia and hypoxia which make
cell apoptosis, thereby releasing large amounts of AMVs. In each case, the variation
in AMVs levels shows that cell apoptosis occurs. A in vitro study uncovered that MVs
extracted from the circulating blood of a patient with myocardial infarction and
applied to the isolated aortic rings of a rat, led to severely damage of endothelial
function.[26] Thus, the high
level of AMVs and their effect may be the cause the further progression of
myocardial infarction.PMVs are defined as membranous vesicles derived from the platelet which are defined
and identified by surface molecules CD62P and CD63.[27] With the ability to bind coagulation factors VIII,
Va, and IX, PMVs not only reflect platelet activation but also contribute to the
activation of the coagulation pathway and thrombogenesis.[28-29] It was
found that there was high level of PMVs in the peripheral blood of the MI patients.
The main cause may be the change of blood flow shear force induced by pathological
changes in the blood vessels of the MI patients. These changes promote the
aggregation and activation of platelets, thereby leading to the generation of a
large number of PMVs. This suggests that increased PMVs may be further expanded by
the coagulation reaction of the blood vessels in the MI patients.The dysfunction of endothelial cells plays an important role in the MI. EMVs are
sub-cellular membrane vesicles released from endothelial cell during activation or
apoptosis.[30] EMVs carry
specific markers which originate from the maternal cells, including CD31, CD51,
CD54, CD62E, CD105, CD144 or CD146. It is found that EMVs were significantly higher
in the MI group. His could be because of the dysfunction of endothelial cells, which
release lots of EMVs into the blood. When the EMVs were incubated with human
umbilical vein endothelial cells (HUVECs), endothelial cells proliferation decreased
and their apoptosis increased, then the capacity of angiogenesis went down
dramatically.[31] The high
level of EMVs is considered as a cause to worsen the condition by inducing
endothelial dysfunction on the MI states.Unlike the single source of EMVs or PMVs, LMVs may originate from neutrophils,
monocytes/macrophages, and lymphocytes.[32] They also express markers from their parental cells.
Various antibodies were used to capture LMVs, including CD4, CD14, CD11a and so on.
Combined with the clinical results, this meta-analysis found that there was no
significant variation in LMVs’ level between the health controls and patients with
MI. But the studies that used CD4 and CD14 antibodies, shown LMVs’ level was higher
in patients with MI. When CD11a antibody was used, a muddle of contradictory results
was found. Therefore, additional studies are needed to further investigate the level
of LMVs in MI. Meanwhile, LMVs measurement still requires elaborate techniques
because of its lack of standardization.Limitations of this meta-analysis must be considered. First, the quality of
individual studies was not always optimal, as shown by the general lack of
information on some studies. So we used simple and elementary inequalities in order
to estimate the mean and the variance for such studies. But it is not exactly
enough. Second, there is heterogeneity of SMD across studies, corresponding in part
to heterogeneity in study definitions. Third, although the quality of included
studies was judged overall to be adequate, the findings in the present study need to
be interpreted with caution, given that not all studies reported on potential
confounding variables and their adjustment in analyses. Finally, meta-analytic data
also need to be cautiously interpreted, given the substantial heterogeneity among
studies.
Conclusion
This meta-analysis showed that higher level of AMVs, PMVs and EMVs in peripheral
blood may be associated with patients with MI, indicating that these MVs may be
helpful in the diagnosis of MI. However, the result of LMVs was negative.
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