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. 2020 Nov 24;11:523506. doi: 10.3389/fneur.2020.523506

Association of Matrix Metalloproteinase 9 and Cellular Fibronectin and Outcome in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis

Lu Wang 1,2,†, Linghui Deng 3,†, Ruozhen Yuan 1, Junfeng Liu 1, Yuxiao Li 1, Ming Liu 1,*
PMCID: PMC7732454  PMID: 33329294

Abstract

Introduction: The role of matrix metalloproteinase 9 (MMP-9) and cellular fibronectin (c-Fn) in acute ischemic stroke is controversial. We systematically reviewed the literature to investigate the association of circulating MMP-9 and c-Fn levels and MMP-9 rs3918242 polymorphism with the risk of three outcome measures after stroke.

Methods: We searched English and Chinese databases to identify eligible studies. Outcomes included severe brain edema, hemorrhagic transformation, and poor outcome (modified Rankin scale score ≥3). We estimated standardized mean differences (SMDs) and pooled odds ratios (ORs) with 95% confidence intervals (CIs).

Results: Totally, 28 studies involving 7,239 patients were included in the analysis of circulating MMP-9 and c-Fn levels. Meta-analysis indicated higher levels of MMP-9 in patients with severe brain edema (SMD, 0.76; 95% CI, 0.18–1.35; four studies, 419 patients) and hemorrhagic transformation (SMD, 1.00; 95% CI, 0.41–1.59; 11 studies, 1,709 patients) but not poor outcome (SMD, 0.30; 95% CI, −0.12 to 0.72; four studies, 759 patients). Circulating c-Fn levels were also significantly higher in patients with severe brain edema (SMD, 1.55; 95% CI, 1.18–1.93; four studies, 419 patients), hemorrhagic transformation (SMD, 1.75; 95% CI, 0.72–2.78; four studies, 458 patients), and poor outcome (SMD, 0.46; 95% CI, 0.16–0.76; two studies, 210 patients). Meta-analysis of three studies indicated that the MMP-9 rs3918242 polymorphism may be associated with hemorrhagic transformation susceptibility under the dominant model (TT + CT vs. CC: OR, 0.621; 95% CI, 0.424–0.908; P = 0.014). No studies reported the association between MMP-9 rs3918242 polymorphism and brain edema or functional outcome after acute stroke.

Conclusion: Our meta-analysis showed that higher MMP-9 levels were seen in stroke patients with severe brain edema and hemorrhagic transformation but not poor outcome. Circulating c-Fn levels appear to be associated with all three outcomes including severe brain edema, hemorrhagic transformation, and poor functional outcome. The C-to-T transition at the MMP-9 rs3918242 gene appears to reduce the risk of hemorrhagic transformation.

Keywords: matrix metalloproteinase 9, cellular fibronectin, severe brain edema, hemorrhagic transformation, poor outcome

Introduction

Ischemic stroke is one of the most severe neurological disorders and one of the leading causes of disability worldwide (1, 2). The main reasons of deterioration were neurological complications including severe brain edema and hemorrhagic transformation, which may share the common pathophysiological mechanism of blood–brain barrier (BBB) breakdown (3). At present, neuroimaging tests are the main method for diagnosing severe brain edema and hemorrhagic transformation, but these tests are usually performed in the presence of signs of neurological worsening. The neuroimaging tests may delay the effective treatment. Given the limitations of current methods for early detection, new methods are needed to identify these two neurological complications in order to optimize timing of management administration (4).

A change of biomarker levels may precede the appearance of clinical deterioration. Clinical studies have identified that biomarkers of BBB breakdown, such as matrix metalloproteinase 9 (MMP-9) and S100-B, may be associated with clinical deterioration (5–8). Among these biomarkers, MMP-9 has sparked the most interest (9). MMP-9 belongs to a family of zinc-dependent proteolytic enzymes. In animal models, MMP-9 is upregulated in the cerebral ischemic area (10) and degrades the basal lamina around blood vessels in the brain including type IV collagen, fibronectins, and lamina (11–13). As the substrate of MMP-9, fibronectins are located between cell and cell or matrix and consist of cellular fibronectin (c-Fn) and plasma fibronectin (p-Fn). C-Fn is situated nearly exclusively in the endothelium and increases rapidly when vascular damage occurs (14, 15). After stroke onset, high levels of MMP-9 and c-Fn may represent severe damage of the neurovascular unit in injured brain tissue, and when reperfusion begins in the occluded vessels, the disruption of the extracellular matrix may further cause BBB leakage, brain edema, and even hemorrhagic complications in the infarction area (16).

No uniform conclusions have been drawn thus far about associations of circulating MMP-9 levels with the risk of severe brain edema, hemorrhagic transformation, and poor outcome after acute ischemic stroke. Previous systematic reviews suggested a correlation between MMP-9 levels and risk of hemorrhagic transformation (17, 18). While a recent study did not indicate that MMP-9 plasma concentrations were associated with any outcomes including symptomatic intracerebral hemorrhage (sICH), death, and functional outcome (19). Besides, studies focused on c-Fn are very limited, although one study suggested a device that quantified the c-Fn levels was able to stratify patients who developed hemorrhagic transformation (20). In addition, previous studies reported that MMP-9 gene polymorphism, especially the rs3918242 polymorphism (at−1562 locus C/T), regulates expression and thereby influences the levels of circulating MMP-9 (21). Stroke patients with the CT and TT genotypes had significantly higher MMP-9 levels than those with the CC genotypes at the rs3918242 polymorphism (22). MMP-9 rs3918242 polymorphism has already been associated with stroke susceptibility (23–25); however, it is unclear whether or not MMP-9 rs3918242 polymorphism is associated with stroke outcome. Considering these limitations, we aimed to systematically review all the relevant data to investigate (1) whether circulating MMP-9 levels and c-Fn levels might constitute markers of severe brain edema, hemorrhagic transformation, and poor outcome after ischemic stroke; (2) whether variations in the MMP-9 rs3918242 gene were associated with susceptibility to severe brain edema, hemorrhagic transformation, and poor outcome after ischemic stroke.

Materials and Methods

This meta-analysis was performed and reported according to MOOSE (Meta-analysis of Observational Studies in Epidemiology) guidelines (26).

Article Search Strategy and Inclusion Criteria

We performed a systematic search for literature published from 1966 to September 2020 without language or other restrictions. The search was conducted in PubMed, Cochrane Library, EMBASE, China National Knowledge Infrastructure, and Wan Fang databases. We used the following keywords and their synonyms in our search strategy: (1) stroke AND (matrix metalloproteinase 9 OR MMP-9 OR cellular fibronectin OR c-Fn) AND (brain edema OR hemorrhagic transformation OR outcome); (2) stroke AND (matrix metalloproteinase 9 OR MMP-9) AND (gene OR polymorphism OR variant OR−1562C/T gene OR rs3918242 polymorphisms). Reference lists from included studies were manually searched for studies relevant to the topic.

No restriction of patient characteristics was applied during the selection of eligible studies. Titles and abstracts were screened for potential eligibility, and then the full texts were reviewed to identify relevant articles that fulfilled the following inclusion criteria: (1) study design was cohort or case-control; (2) any etiology of acute ischemic stroke; (3) patients with and without thrombolysis were included; (4) blood samples were drawn within 48 h after stroke onset and prior to clinical or neuroimaging evidence of any neurological complications and outcome; (5) MMP-9 or c-Fn levels were measured in blood samples; (6) severe brain edema and hemorrhagic transformation were confirmed by neuroimaging including computed tomography (CT) or magnetic resonance imaging (MRI). The first neuroimaging scan was performed within 24 h after admission. Follow-up examination was performed within 14 days after admission or when neurological deterioration occurred; functional outcome was measured by modified Rankin scale (mRS) scores at 3 months after stroke onset; (7) studies on MMP-9 rs3918242 polymorphism reported genotype frequencies in sufficient detail to evaluate the association between MMP-9 polymorphism and outcome; and (8) studies were available as full-text publications. We excluded the studies if they (1) were case reports, letters, review articles, or abstracts and (2) were duplicate studies.

Diagnostic Criteria

Severe brain edema was defined as brain swelling with a midline shift causing any clinical deterioration (27). Hemorrhagic transformation was defined as the secondary radiographic appearance of hemorrhage after initial neuroimaging had confirmed acute ischemic stroke (5, 13). Hemorrhagic transformation was classified into two types, hemorrhagic infarct (HI) and parenchymal hematoma (PH), according to the European Cooperative Acute Stroke Study criteria. Hemorrhagic transformation was also evaluated as symptomatic or asymptomatic depending on whether the patients suffered clinical deterioration when the hemorrhage occurred. Additionally, sICH was regard as symptomatic hemorrhagic transformation. Detailed definitions have been previously described (13). Poor outcome was defined as mRS score ≥3 at 3-month follow-up.

Data Collection and Quality Assessment

A standardized data collection form was used to extract the following information from eligible studies: first author, publication year, country of origin, mean age, male gender proportion, time of blood collection, neuroimaging tests and time from stroke onset to the follow-up examination, circulating MMP-9 and c-Fn levels, outcome measures, MMP-9 genotype frequencies, and Hardy–Weinberg equilibrium test results. If the levels of MMP-9 and c-Fn were reported in the form of medians and interquartile ranges (because of skewed distribution), a formula was applied to calculate the mean difference and standard deviation (28). Two reviewers (L.W. and L.D.) independently extracted all data, and any disagreements were resolved between them or in consultation with a third reviewer (Y.L.). Furthermore, we assessed the quality of articles using the Newcastle–Ottawa Scale (NOS) (29). The NOS score consists of the following adapted items: the selection of cohort groups; comparability between 2 groups, and the ascertainment and follow-up of outcome occurrence. NOS score ranges from 0 to 9, with 7 or more indicating high quality.

Statistical Analysis

We conducted meta-analysis using Stata version 12.0 (STATA Corporation, College Station, TX, USA). When assessing the association between MMP-9 and c-Fn levels and outcomes, we calculated standardized mean differences (SMDs) to describe differences in MMP-9 and c-Fn levels between groups. Pooled odds ratios (ORs) were calculated to determine associations between MMP-9 polymorphism and outcome measures. SMDs and ORs were reported together with the associated 95% confidence intervals (CIs).

We used I2 to determine heterogeneity across individual studies; I2 > 50% was considered statistically significant. The random-effects model was adopted when I2 > 50%; otherwise, the fixed-effects model was used (30). In general, a random-effects meta-analysis model assumes there are various differences in the size of effects observed within the study, whereas a fixed-effects model assumes no variation beyond chance. Thus, when significant heterogeneity exists, the random-effects model allows the effect size to vary from study to study and gives more accurate effect sizes (31).

Results

Basic Characteristics of Included Studies

The literature selection process is illustrated in Figure 1. We identified 1,504 records after searching five databases. After removing 482 duplicates, 1,022 records were finally selected. Then we retrieved 178 articles and read their full texts after screening the titles and abstracts of 1,022 records. We excluded 54 studies as they were animal experiments; 45 reviews; 20 abstracts with no full text available, whose quality we could not assess; and 30 studies that provided no information about circulating MMP-9 or c-Fn levels or MMP-9 polymorphism. Two articles involved the same participants (9, 32), so we included data only from the more recent publication (32). In the end, 28 articles (6, 8, 15, 19, 27, 32–54) involving 7,239 patients were included in the review (Table 1).

Figure 1.

Figure 1

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Flowchart of literature search and selection. CNKI, Chinese national knowledge infrastructure; MMP-9, matrix metalloproteinase-9.

Table 1.

Main Results of Included Studies of association between matrix metalloproteinase-9 and cellular fibronectin and severe brain edema, hemorrhagic transformation, and poor outcome.

Studies Markers Type of case (n) Type of control (n) Levels
Cases Controls P-value
9. Millan et al. (32) MMP-9 BE (15) NBE (119) 147.2 (54.4, 214.1) 106.4 (69.4, 166) 0.249
12. Rodriguez et al. (27) MMP-9 BE (10) NBE (66) 1651.9 ± 591.2 734.4 ± 623.2 <0.001
18. Serena et al. (47) MMP-9 BE (40) NBE (35) 150 ± 66 78 ± 59 <0.001
19. Moldes et al. (48) MMP-9 BE (19) NBE (115) 131.0 (70.3, 199.9) 108.6 (68.9, 170.5) 0.288
1. Montaner et al. (33) MMP-9 HT (16) NHT (23) 135.35 ± 107.2 157.6 ± 126.0 0.050
2. Montaner et al. (34) MMP-9 HT (15) NHT (26) 153.1 ± 120.8 126.3 ± 127.5 0.047
3. Castellanos et al. (8) MMP-9 HT (38) NHT (212) 193 (163, 213) 62 (40, 93) <0.001
4. Montaner et al. (35) MMP-9 HT (9) NHT (52) 191.4 68.05 0.022
5. Heo et al. (42) MMP-9 HT (5) NHT (52) NA NA NA
6. Castellanos et al. (15) MMP-9 HT (26) NHT (61) 170.3 (101.4, 96.2) 87.2 (54.8, 115.1) <0.001
7. Ning et al. (36) MMP-9 HT (9) NHT (17) 62.5 38 NA
8. Lucivero et al. (43) MMP-9 HT (5) NHT (24) 423.9 ± 185.3 NA
9.Millan et al. (32) MMP-9 HT (12) NHT (122) 204.7 (161.6, 235.3) 102 (64.9, 143.5) <0.001
10. Kazmierski et al. (6) MMP-9 HT (33) NHT (425) 730 (499, 1052) 813 (746, 1103) 0.622
11. Leira et al. (37) MMP-9 HT (55) NHT (106) 187.3 (100.2, 235.4) 44.2 (23.6, 123.4) <0.001
12. Rodriguez et al. (27) MMP-9 HT (8) NHT (68) 1687.0 ± 428.8 775.9 ± 637.7 <0.001
13. Inzitari et al. (38) MMP-9 HT (27) NHT (300) 213.7 (155.2, 483.6) 309.6 (196.4, 491.9) 0.882
14. Jha et al. (39) MMP-9 HT (29) NHT (115) NA NA NA
15. Mallolas et al. (40) MMP-9 HT (49) NHT (58) 65.3 (23.3, 109.1) 30.3 (21.4, 51.7) 0.029
16. Tsuruoka et al. (41) MMP-9 HT (14) NHT (18) 6.82 ± 4.77 >0.05
16. Tsuruoka et al. (41) MMP-9 HT (5) NHT (26) 6.61 ± 3.95 >0.05
17. Yuan et al. (45) MMP-9 HT (29) NHT (139) 244.3 (190.6, 431.4) 110.0 (54.4, 172.2) <0.001
27. Mechtouff et al. (54) MMP-9 HT (40) NHT (108) NA NA NA
28. Maestrini et al. (19) MMP-9 HT (32) NHT (223) NA NA NA
7. Ning et al. (36) MMP-9 PO (NA) GO (NA) NA NA NA
8. Lucivero et al. (43) MMP-9 PO (NA) GO (NA) NA NA NA
9. Millan et al. (32) MMP-9 PO (73) GO (61) 129.3 (72.3, 195.3) 92.8 (64.7, 129) 0.021
12. Rodriguez et al. (27) MMP-9 PO (12) GO (64) NA NA >0.05
13. Inzitari et al. (38) MMP-9 PO (115) GO (212) 292.8 (175.8, 451.5) 312.3 (195.0, 531.3) 0.513
20. Whiteley et al. (49) MMP-9 PO (112) GO (156) 872 (619, 1364) 859 (538, 1322) 0.450
21. Abdelnaseer et al. (50) MMP-9 PO (16) GO (14) 1111.8 ± 110.36 942.3 ± 143.88 0.003
22. Rodriguez et al. (51) MMP-9 PO (328) GO (516) NA NA NA
23. Worthmann et al. (52) MMP-9 PO (NA) GO (NA) NA NA NA
24. Zhong et al. (53) MMP-9 PO (767) GO (2419) NA NA NA
28. Maestrini et al. (19) MMP-9 mRS 2-6 (125) mRS 0-1 (130) 118 (69-194) 120 (75.7–188.2) 0.639
9. Millan et al. (32) c-Fn BE (15) NBE (119) 6.2 (5.4, 7) 3.2 (1.9, 4.4) <0.001
12. Rodriguez et al. (27) c-Fn BE (10) NBE (66) 41.8 ± 14.8 22.9 ± 14.2 <0.001
18. Serena et al. (47) c-Fn BE (40) NBE (35) 33.7 (25.3, 50.2) 6.7 (4.2, 10.9) <0.001
19. Moldes et al. (48) c-Fn BE (19) NBE (115) 6.0 (4.1, 6.7) 3.2 (2.1, 4.6) <0.001
6. Castellanos et al. (15) c-Fn HT (26) NHT (61) 4.8 (3.4, 5.9) 1.7 (1.4, 2.5) <0.001
9. Millan et al. (32) c-Fn HT (12) NHT (122) 7.9 (6.6, 8.6) 3.2 (1.9, 4.4) <0.001
11. Leira et al. (37) c-Fn HT (55) NHT (106) 16.3 (5.4, 42.7) 7.1 (2.1, 20.4) 0.001
12. Rodriguez et al. (27) c-Fn HT (8) NHT (68) 47.8 ± 13.6 22.7 ± 13.4 <0.001
9. Millan et al. (32) c-Fn PO (73) GO (61) 3.7 (2.5, 6.2) 3.2 (1.9, 4.2) 0.010
12. Rodriguez et al. (27) c-Fn PO (12) GO (64) 29.7 ± 16.3 21.8 ± 14.3 0.045
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MMP-9, matrix metalloproteinase-9; c-Fn, cellular fibronectin; NA, not available; BE, severe brain edema; NBE, no severe brain edema; HT, hemorrhagic transformation; NHT, no hemorrhagic transformation; PO, poor outcome; mRS 3-6, modified Rankin Scale score from 3 to 6; GO, good outcome; mRS 0-2, mRS, modified Rankin Scale score from 0 to 1; MMP-9, matrix metalloproteinase-9; c-Fn, cellular fibronectin.

Baseline MMP-9 and c-Fn Levels are reported as mean ± SD or median (interquartile range).

Supplementary Table 1 shows the baseline characteristics of 26 included studies of MMP-9/c-Fn levels and outcome measures. One article was designed as a case-control study (36), and the others were cohort studies. Most studies enrolled patients with all types of acute ischemic stroke, except for three studies including patients without lacunar stroke (33, 34, 40), three studies including patients with cardioembolic stroke involving middle cerebral artery (33–35), and one study including patients with large-vessel occlusion treated with mechanical thrombectomy (54). Treatment with thrombolysis varied across studies: 10 studies included patients treated with thrombolysis (15, 27, 32, 34–36, 38, 42, 48, 54), four studies had some patients who received thrombolysis (19, 39–41), and the remaining 12 studies included patients who did not receive thrombolytic treatment. All studies performed their first CT/MRI scan within 24 h after stroke onset. Besides, almost all studies had their secondary neuroimaging scan within 7 days after onset or when neurological function deteriorated except one study, which had secondary scan done within 14 days (Supplementary Table 1). Nineteen studies were determined to be high quality, and the detailed results of the quality assessment are shown in Supplementary Table 3.

MMP-9 Levels and Severe Brain Edema

Four studies (27, 32, 47, 48) suggested that MMP-9 levels were higher in patients with severe brain edema than in those without severe brain edema in the pooled analysis of 419 patients (SMD, 0.76; 95% CI, 0.18–1.35; P = 0.01; heterogeneity: I2 = 78.1%; P = 0.003; Figure 2). One study reported MMP-9 per 100 ng/mL increases was independently associated with the risk of severe brain edema in the multivariate analysis (adjusted OR, 1.41; 95% CI, 1.13–1.95) (27).

Figure 2.

Figure 2

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Forest plots of standardized mean difference (SMD) in matrix metalloproteinase-9 (MMP-9) levels between different patient groups.

MMP-9 Levels and Hemorrhagic Transformation

A total of 19 studies comprising 2,631 patients reported on the relationship between MMP-9 levels and hemorrhagic transformation (6, 8, 15, 19, 27, 32–43, 45, 54). Of the 19 studies, data from 11 studies with 1,709 patients were meta-analyzed to compare MMP-9 levels between patients with or without hemorrhagic transformation (6, 8, 15, 27, 32–34, 37, 38, 40, 45). The forest plot shows that MMP-9 levels were higher in the hemorrhagic transformation group than in the group without hemorrhagic transformation. The SMD between the two groups was 1.00 (95% CI, 0.41–1.59, P = 0.001; heterogeneity: I2 = 94.4%, P < 0.001; Figure 2). Among these 11 studies, seven of them reported ORs of association between MMP-9 levels and hemorrhagic transformation (Supplementary Table 2) (8, 15, 33, 34, 37, 40, 45).

For the eight studies not meta-analyzed (19, 35, 36, 39, 41–43, 54), one study reported MMP-9 levels >775 ng/mL were associated with 1.91 times the risk of hemorrhagic transformation (adjusted OR, 2.91; 95% CI, 1.14–7.42) (54); two studies reported that patients with hemorrhagic transformation had higher MMP-9 levels (35, 42); the remaining five studies did not find significant difference in MMP-9 levels between groups with and without hemorrhagic transformation (19, 36, 39, 41, 43). Supplementary Figure 1 also shows that MMP-9 levels were higher in patients with PH than in patients with HI (34, 35, 37, 45), whereas no difference was observed between patients with symptomatic and asymptomatic hemorrhagic transformation (8, 15, 45). Sensitivity analysis showed that systematic exclusion of each study did not significantly affect the pooled results (Supplementary Figure 2).

MMP-9 Levels and Poor Outcome

Eleven studies with 5,246 patients reported on the association between MMP-9 levels and poor outcome (19, 27, 32, 36, 38, 43, 49–53). Data pooled from four studies with 759 patients (32, 38, 49, 50) showed no difference in baseline MMP-9 levels between groups with poor and good outcome (SMD, 0.30; 95% CI, −0.12 to 0.72; P = 0.159; heterogeneity: I2 = 84.4%, P < 0.001; Figure 2). For the seven studies that were not included in statistical pooled analysis, two studies revealed that MMP-9 was correlated with 3-month mRS scores (r = 0.508 and 0.508, respectively) (36, 43), and the other 2 studies indicated that MMP-9 was independently associated with 3-month poor outcome (mRS score ≥3) after adjusting for potential confounding factors (ORs, 1.01 and 1.16, respectively) (51, 53). However, the remaining three studies did not find evidence on MMP-9 related to the mRS score at 3 months (19, 27, 52).

C-Fn Levels and Severe Brain Edema

Four studies with 419 patients reported the association between c-Fn levels and severe brain edema (27, 32, 47, 48). Meta-analysis of these four studies shows that c-Fn levels were higher in patients with severe brain edema than in those without severe brain edema (SMD, 1.55; 95% CI, 1.18–1.93, P < 0.001; heterogeneity: I2 = 40%; P = 0.172, Figure 3). Among them, one study indicated c-Fn per 1-μg increase was independently associated with the risk of severe brain edema (adjusted OR, 1.13; 95% CI, 1.10–1.17) (27).

Figure 3.

Figure 3

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Forest plots of standardized mean difference (SMD) in cellular fibronectin (c-Fn) levels between different patient groups.

C-Fn Levels and Hemorrhagic Transformation

For hemorrhagic transformation, four studies all reported higher c-Fn levels in 458 patients (SMD, 1.75; 95% CI, 0.72–2.78; P = 0.001; heterogeneity: I2 = 92.7%, P < 0.001; Figure 3) (15, 27, 37, 48). One study reported that baseline c-Fn level was independently associated with hemorrhagic transformation (adjusted OR, 2.1; 95% CI, 1.3–3.4) after adjusting for age, history of diabetes, baseline National Institutes of Health Stroke Scale score, and MMP-9 levels (15).

C-Fn Levels and Poor Outcome

Only two studies with 210 patients investigated c-Fn levels in patients with poor and good outcomes (27, 32). One study indicated a significant difference of c-Fn between patients with poor and good functional outcomes in univariate analyses (32). The pooled results suggested c-Fn levels were significantly higher in patients with a poor outcome (SMD, 0.46; 95% CI, 0.16–0.76; P = 0.003; heterogeneity: I2 = 0%; P = 0.766; Figure 3). However, no study investigated the independent association between c-Fn levels and poor functional outcome after adjusting for confounding factors.

MMP-9 Polymorphism and Outcome

No study reported the relationship between MMP-9 rs3918242 polymorphism and severe brain edema or poor outcome, and only three studies reported MMP-9 rs3918242 polymorphism and hemorrhagic transformation (35, 44, 46). Table 2 displays the baseline characteristics of the three studies that evaluated the potential correlation of MMP-9 rs3918242 polymorphism with the risk of hemorrhagic transformation. Montaner et al. investigated variant rs3918242 and found no association between C-1562T polymorphism and hemorrhagic transformation (35). However, Zhang et al. reported variant rs3918242 was associated with hemorrhagic transformation risk in the Chinese (44), and Yi et al. suggested that the interactions of rs3918242 and rs3787268 in MMP-9 gene may increase hemorrhagic transformation susceptibility (46). In total, 988 patients involving 209 cases and 779 controls (61 Caucasian, 927 Chinese) reported quantitative data. The pooled analysis showed that MMP-9 rs3918242 polymorphism may be significantly associated with hemorrhagic transformation risk under the dominant model (TT + CT vs. CC; OR, 0.621; 95% CI, 0.424–0.908; P = 0.014) with no heterogeneity (I2 = 0%; P = 0.649, Figure 4).

Table 2.

Main results of included studies of MMP-9 rs3918242 polymorphism and HT risk.

Studies Ethnicity (n) HT/NHT Variants for HT Variants for NHT Follow-up time HWE Conclusions
CT+TT CC CT+TT CC
4. Montaner et al. (35) Caucasian (61) 21/40 3 18 10 30 48 h YES C-allele associated with higher rate of HT
25. Zhang et al. (44) Chinese (222) 84/138 15 69 42 96 14 d YES No difference
26. Yi et al. (46) Chinese (705) 104/601 24 80 177 424 10–14 d YES No difference
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NA, not available; HT, hemorrhagic transformation; NHT, non-hemorrhagic transformation; HWE, Hardy–Weinberg equilibrium; CT, computer tomography; SWI, susceptibility-weighted imaging; SNP, single-nucleotide polymorphism; h, hour; d, day.

Figure 4.

Figure 4

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Forest plot of the association between MMP-9 rs3918242 polymorphism and hemorrhagic transformation susceptibility (TT + CT vs. CC). OR, odds ratio. Studies are numbered according to Table 2.

Discussion

To test for the potential association of MMP-9 and c-Fn levels with outcome after stroke, we performed a systematic literature search and meta-analyzed the current literature. We found that MMP-9 and c-Fn levels were elevated in patients with severe brain edema; hemorrhagic transformation and c-Fn were higher in patients with poor outcome. However, MMP-9 levels did not differ significantly between patients with or without poor outcome. Additionally, data from three studies suggested that the T allele at the MMP-9 rs3918242 polymorphism was associated with lower hemorrhagic transformation susceptibility.

The association between MMP-9 and functional outcome was inconsistent. Although a study that we did not include in the pooled analysis revealed the independent association between MMP-9 and poor outcome (53), our study did not find a significant difference of MMP-9 levels between patients with good or poor outcome. A previous study suggested that the different delay of blood sample collection may be one of the possible explanations (19). Our systematic review did not find the discrepancy was due to the time of sample collection, because all studies included had blood samples collected within 48 h after stroke onset, and previous studies reported MMP-9 levels elevate within 2–6 h and remain stable over the first 48 h (19, 54). However, blood samples collected in an early time may have better predictive value for functional outcome. In addition, we did not perform subgroup analysis based on the etiology of stroke and thrombolysis treatment due to limitations of the available data. Whether the discrepancy was due to the etiology of stroke and thrombolysis treatment needs further investigation.

Many studies suggest that MMP-9 and c-Fn participate in the process of brain edema and hemorrhagic transformation (55–57). The currently accepted working model is that stroke-induced injury to vascular endothelium leads to a series of inflammatory responses that trigger the release and activation of MMP-9. Many cells, including neutrophils and endothelial cells, contribute to this increased secretion (58). MMP-9 degrades the extracellular matrix, increases the permeability of the BBB, and destroys the vascular bed. Eventually, collateral circulation or recanalization brings about ischemic tissue reperfusion, leading to brain edema, blood extravasation, and hemorrhagic transformation, coming along with elevated free fragments of c-Fn (5, 58, 59). The c-Fn in basal lamina plays a vital role in the hemostasis by mediating the adhesion of platelets; when degraded by MMP-9, it may lose the normal function and make the BBB disruption more serious (60). Those explanations were also supported by the study of Castellanos in 2007 (9), which found the combination of MMP-9 and c-Fn levels has a better predictive ability for hemorrhagic transformation. One study attributed the severity of hemorrhage to the location of damaged cerebrovascular basal lamina (61). It is possible that the different neurological complications are due at least in part to differences in MMP-9 levels, which remove basal lamina over a smaller or larger area, resulting in severe brain edema, or hemorrhagic transformation. Consistent with this idea, we found higher MMP-9 levels in the more severe hemorrhagic transformation subtype PH than in the subtype HI.

Pooled analysis of three studies suggested that the C-to-T transition in the MMP-9 rs3918242 polymorphism may be associated with a lower risk of hemorrhagic transformation, whereas no study investigated the association between the polymorphic site and the susceptibility of brain edema and poor outcome. It is unclear how the transition affects MMP-9 expression (35, 62), with studies linking the T allele to lower circulating MMP-9 levels (35) or to higher levels (21, 22). Future work should examine whether and how the rs3918242 polymorphism affects MMP-9 levels or activity.

A descriptive review of the association between MMP-9 levels and acute ischemic stroke suggested that circulating MMP-9 level may be a biomarker of large infarction, severe stroke, poor functional outcome, and hemorrhage after thrombolysis (17). Our results are consistent with their study, and we further show that MMP-9 levels and c-Fn levels were both associated with brain edema and hemorrhagic transformation. Additionally, we thoroughly investigated the association of different hemorrhagic transformation subtypes, and the quantitative analysis indicated that MMP-9 may be associated with PH but not symptomatic hemorrhagic transformation.

This systematic review suggests that stroke patients with elevated MMP-9 and/or c-Fn levels are at relatively higher risk of severe brain edema and hemorrhagic transformation, which may facilitate early recognition of patients at high risk of neurological deterioration. This review is the first to our knowledge that brings together MMP-9 and c-Fn levels, MMP-9 gene polymorphism and the risk of brain edema, hemorrhagic transformation, and poor outcome following ischemic stroke. More studies are needed to determine the combined predictive value of MMP-9 and c-Fn for early neurological complications.

At the same time, some limitations in our systematic review should be considered when interpreting the results. First, studies differed in their inclusion/exclusion criteria, treatments, timing of blood sample collection, and timing of follow-up imaging. All these differences may account for the observed heterogeneity, which may reduce the reliability of our analysis. Second, we identified only three studies investigating the potential association between the MMP-9 rs3918242 polymorphism and hemorrhagic transformation susceptibility. Therefore, more work should be performed to determine whether this association exists. Third, we were unsuccessful in our attempts to obtain data on the interval between blood drawing and neuroimaging, and all studies assumed that neuroimaging was performed around the time of neurological worsening occurrence. As a result, we cannot assess whether elevated MMP-9 and c-Fn levels preceded the occurrence of neurological complications or vice versa, preventing any conclusions about causality. Indeed, a potential causal relationship between MMP-9 and c-Fn levels and the development of neurological complications and severity remains unclear because of the high heterogeneity in the included studies and other unadjusted confounding factors, including recanalization, glucose levels, blood pressure, and previous treatment with antithrombotic therapy.

Conclusion

Our meta-analysis showed that higher MMP-9 levels were seen in stroke patients with severe brain edema and hemorrhagic transformation but not poor outcome. Circulating c-Fn levels appear to be associated with all three outcomes including severe brain edema, hemorrhagic transformation, and poor functional outcome. The C-to-T transition at the MMP-9 rs3918242 gene appears to reduce the risk of hemorrhagic transformation. More studies should be performed to investigate the independent association between MMP-9 and c-Fn levels and outcome and to explore the role of rs3918242 polymorphism in neurological complications development.

Data Availability Statement

All datasets generated for this study are included in the article/Supplementary Material.

Author Contributions

ML is responsible for the conception and design of the study. LW and LD searched databases and extracted data for systematic review. RY, YL, and JL performed the data analysis. LW, LD, RY, JL, YL, and ML wrote the first draft of the manuscript. LW and JL interpreted the data and wrote the final version. JL and ML revised the draft. All authors critically revised the article for important intellectual content and approved the final version. ML obtained public fundings. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors wish to thank Prof. Ella August from Department of Epidemiology, University of Michigan School of Public Health, Prof. Fergus Doubal from The University of Edinburgh, and Prof. Marc Fisher from Harvard University for their valuable comments on the manuscript.

Footnotes

Funding. This work was supported by National Natural Science Foundation of China (Grant Nos. 81620108009, 81974181, and 81974208), Key Research and Development Program, Department of Science and Technology of Sichuan Province (Grant Nos. 2017SZ0007 and 2018JY0101), and the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (Grant No. ZYGD 18009).

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2020.523506/full#supplementary-material

Click here for additional data file. (2.1MB, docx)

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Associated Data

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Supplementary Materials

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Data Availability Statement

All datasets generated for this study are included in the article/Supplementary Material.

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