Abstract
Background:
Rodent models of acute ischaemic stroke and head injury suggest that apolipoprotein E genotype (APOE) influences neuronal repair, regeneration and survival after brain injury. Possession of an APOE ε4 allele is associated with poor outcome after head injury in clinical studies. APOE might therefore influence outcome after acute stroke in humans.
Methods:
We comprehensively sought, identified, assessed and performed meta-analyses of studies reporting on the association between APOE and the combined outcome of death or dependency, or death alone, several months after ischaemic stroke (IS), intracerebral haemorrhage (ICH) or subarachnoid haemorrhage (SAH).
Results:
Our main analyses included data from 9 studies in a total of 2262 patients (1453 IS, 199 ICH, 610 SAH). Overall, ε4+ genotypes were not significantly associated with risk of death or dependency several months after stroke. However, there was significant heterogeneity between studies, and between the three pathological types of stroke. ε4+ genotypes were associated with increased death or dependency after SAH (RR 1.40, 95% CI 1.06 to 1.84), with a trend toward a similar association with ICH (RR 1.38, 95% CI 0.99 to 1.92), but not IS (RR 0.98, 95% CI 0.85 to 1.12). Results were similar for death alone.
Conclusions:
APOE may differentially affect outcome after the three main pathological types of stroke. Further, large studies are needed to confirm or refute these findings, and to assess the possibility of an interaction between the effects of APOE and age.
By contrast with the many studies assessing the role of various candidate genes in the causation of stroke and its subtypes 1,2,3, the role of genetic factors influencing outcome after acute stroke has been relatively little studied in humans 4,5. However, studies of animal models of stroke comparing outcomes among genetically manipulated compared with wild type animals suggest that this should be a promising area, which may ultimately improve our understanding of the pathways of neuronal protection and recovery, and even lead to new therapeutic insights 4,6.
The apolipoprotein E gene (APOE) is one of the most widely studied genes in vascular and neurodegenerative diseases. Its protein product is a 34 kDa glycoprotein with three common isoforms, E2, E3 and E4, encoded by the alleles, ε2, ε3 and ε4, giving rise to six genotypes, the ε3/ε3 genotype occurring in about one half to two thirds of people in most populations 7. Apolipoprotein E has a major role in lipid redistribution, which is important in the brain for membrane maintenance and repair, and in the regulation of synaptic remodelling during or following brain injury 6,8,9-11. Rodent models of head injury and ischaemic stroke suggest that APOE influences neuronal repair, regeneration and survival after brain injury 6,11. In clinical studies, possession of an APOE ε4 allele is associated with poor outcome after head injury 5. These observations suggest that APOE might influence outcome after acute stroke in humans, but clinical studies have produced conflicting results 5.
Here, we use systematic review and meta-analysis methods to assess the effect of APOE on outcome after the three main pathological types of acute stroke: ischaemic stroke (IS), intracerebral haemorrhage (ICH), and subarachnoid haemorrhage (SAH).
Methods
Study identification and selection
We sought all available published studies of the influence of APOE on outcome (death or the combination of death or dependency) after acute stroke in adult humans. We identified studies by searching Medline and Embase from 1966 through May 2005 (see Appendix), the reference lists of relevant papers thus identified, and recent textbooks on stroke or stroke genetics. We only included studies that analysed the main pathological stroke types separately. For studies with more than one publication describing results among overlapping groups of patients, we included only the largest of the available published datasets, to avoid double counting. We requested summary data from the authors of two studies for which relevant data had been obtained but were not reported in the publications.
We independently selected relevant studies, resolving disagreements by discussion.
Data extraction
From each study selected, we extracted information on: year of publication; setting and country; subjects' ethnicity; number of subjects; definition of acute stroke; whether recruitment was consecutive or not; subjects' mean age and gender distribution; method, definition and timing of outcome assessment; blinding of genotyping to outcome assessment, and of outcome assessors to genotype; genotyping samples and methods. We extracted data on the numbers of subjects who had died or who were dead or dependent at the end of follow-up with genotypes containing the ε4 allele (ε4+ genotypes) or not, and with ε2+ genotypes or not. We independently extracted the information from each study, resolving disagreements by discussion.
Statistical analyses
We assessed the effects of ε4+ versus ε4− genotypes (primary analysis) and of ε2+ versus ε2− genotypes (secondary analysis) on death and death or dependency by calculating study specific and fixed effects pooled relative risks using Cochrane RevMan software (version 4.2) 12. We used χ2 tests to assess heterogeneity between studies and different pathological types of stroke.
Because data from two eligible studies were unavailable and so excluded from our main analyses (see below), we carried out sensitivity analyses for the ε4+ versus ε4− comparison to assess what effect a range of plausible results for these studies might have had on our conclusions (see Webtables 1 and 2 for details).
Results
Characteristics of studies included
From 949 articles identified by our search, we selected 11 eligible studies in 3120 subjects 13-23. We had to exclude two of these from our main analyses, since outcome data that had been collected were unavailable in the publications, and the authors could not provide us with unpublished summary data 15,17. Thus, we included nine studies in 2262 subjects in our main analyses (Figure 1). Details of the characteristics of all eligible studies are shown in the table, and summarised below.
Figure 1.
Selection of studies for inclusion.
Table.
Characteristics of studies included
| Study | Year | Setting | Country | Ethnicity | Consecutive recruitment |
Stroke definition | Follow-up method | No. of subjects (no. with APOE and outcome data) |
% male |
Mean age (years) |
Time of outcome assessment |
Outcomes with data available |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ischaemic stroke studies | ||||||||||||
| McCarron-1 13 | 1998 | University hospital stroke unit |
Scotland | Caucasian | Patients ‘unselected’ |
Acute IS proven on CT or MR brain scan |
Scottish death register and database of hospital discharge records |
640 (616) |
47 | 71 | 3 months | Poor outcome (dead or living in an institution) |
| McCarron-3 14 | 2000 | University hospital stroke unit |
Scotland | Caucasian | Y | Acute IS proven on CT or MR brain scan |
Patients observed prospectively (further details not given) |
189 (157) |
47 | 69 | 3 months | Poor outcome (mRS 4-6); death |
| Catto 15 ‡ | 2000 | University hospital |
UK | Caucasian | Y | Acute IS proven on CT brain scan |
UK national death register |
532 (532) |
50¶ | 73¶ | Median 2.4 years |
Death |
| Broderick 16 | 2001 | Hospitals in the USA participating in trial of ivtPA versus placebo |
USA | Caucasian | N | Acute IS proven on CT brain scan |
Examination | 624 (409) |
61 | 67 | 3 months | Unfavourable outcome (mRS 2-6) |
| MacLeod 17 ‡ | 2001 | University hospital stroke unit |
UK | Caucasian | Patients ‘unselected’ |
Acute IS proven on CT brain scan |
Patients observed prospectively (further details not given) |
266 (266) |
56 | 65.7 | ? | Unfavourable outcome (mRS 3-6) |
| Intracerebral haemorrhage studies | ||||||||||||
| McCarron-1 13 | 1998 | University hospital stroke unit |
Scotland | Caucasian | Patients ‘unselected’ |
ICH proven on CT or MR brain scan |
Scottish death register and database of hospital discharge records |
74 (67) |
45 | 74 | 3 months | Poor outcome (dead or living in an institution) |
| McCarron-2 18 | 1999 | University hospital |
USA | Mixed: 73% Caucasian 27% African American |
? | CT proven diagnosis of ICH considered secondary to hypertension, cerebral amyloid angiopathy or thrombolysis |
? | 125 (102) |
52 | 64 | Hospital discharge |
Death |
| Catto 15 ‡ | 2000 | University hospital |
UK | Caucasian | Y | ICH proven on CT brain scan |
UK national death register |
532 (532) |
? | ? | Median 2.4 years |
Death |
| Subarachnoid haemorrhage studies | ||||||||||||
| Leung 19 | 2002 | University hospital |
China | Chinese | Y | Spontaneous aneurysmal SAH confirmed by CT or lumbar puncture and CT angiography +/− digital subtraction angiography |
Face-to-face or telephone interviews with patient or carers |
72 (72) |
35 | 58 | 6 months | Unfavourable outcome (GOS 1-3) |
| Niskakangas 20 | 2001 | University hospital neurosurgery department |
Finland | Caucasian | Y | Spontaneous aneurysmal SAH confirmed by CT and catheter angiography |
Examination, telephone interview or postal questionnaire |
126 (108) |
40 | 52 | 6 months | Unfavourable outcome (GOS 1-3); death |
| Dunn 21 | 2001 | University hospital neurosurgery department |
Scotland | Caucasian | Y | Spontaneous SAH confirmed by CT scan or lumbar puncture |
Telephone interview | 125 (96) |
40 | 49 | 6 months | Unfavourable outcome (GOS 1-3) |
| Tang 22 | 2003 | Hospital neurosurgery department |
China | Chinese | ? | Aneurysmal SAH confirmed by CT brain scan and digital substraction angiography +/− surgery |
Examination or telephone interview |
120 (104) |
48 | 45 | 3 months | Unfavourable outcome (GOS 1-3) |
| Ruigrok 23 | 2005 | University hospital |
Netherlands | Caucasian | Y | Aneurysmal SAH confirmed by CT brain scan and CT or conventional angiography |
? | 167 (167) |
48 | 53 | 3 months | Death or dependency (GOS 1-3) |
of publication
Y = yes; N = no; ? = not stated or unclear; CT = computed tomography; MR = magnetic resonance; ivtPA = intravenous tissue plasminogen activator
Not included in the main analyses
of total patients in study (n= 592, including 60 with ICH)
The studies were mainly conducted in European countries in whites, but one in the USA was done in whites and African Americans 18, and two were done in Chinese patients 19,22. All were hospital-based. Six studies recruited consecutively admitted patients 14,15,19-21,23, one recruited patients from a randomised trial of thrombolysis for acute ischaemic stroke (i.e. highly selected patients) 16, two stated that the patients were ‘unselected’ 13,17, and two did not state whether recruitment was consecutive or in some way selective 18,22.
Genotype and outcome data were available in 1898 (84%) of the 2262 subjects from the nine studies in our main analyses. All had data on ε4+ genotypes, while only five had data on ε2+ genotypes 14,16,18,22,23. One study included both IS and ICH patients 13. Mean age was 69 years in the IS patients, 68 years in the ICH patients, and 51 years in the SAH patients. Around half of the patients were male.
Eight of the nine studies in the main analyses presented data on the combined outcome of death or dependency, defined on the basis of the Glasgow Outcome Scale (GOS) in the five SAH studies 19-23, discharge to an institution in one study 13, the modified Rankin scale (mRS) and the Barthel index (BI) in one study 14, and the mRS, BI, GOS, and National Institutes of Health Stroke Scale in another 16. We used the mRS data for our analyses for these last two studies. Only four of the studies in the main analyses presented data on death separately 14,15,18,20. Outcomes were assessed at three months in five studies 13,14,16,22,23, six months in three studies 19-21, and hospital discharge in one study 18. Follow-up was generally by examination and/or telephone interview. Outcomes were assessed blind to genotype and vice versa in all but one study which did not comment on blinding 18.
All studies used blood samples for DNA extraction, and one also used buccal smears 20. Genotype analysis was by restriction enzyme digestion of PCR product in all but one study, which assessed APOE genotypes indirectly by measuring the apoE protein phenotypes 16.
Effects on death or dependency – main analyses
Overall there was no significant effect of ε4+ versus ε4− genotypes (summary relative risk [RR] 1.08, 95% confidence interval [CI] 0.96 to 1.21) (Figure 2). However, there was significant heterogeneity between the studies (χ28df = 25.4, p = 0.001) some of which appeared to be accounted for by pathological type of stroke. We found no significant effect on IS (RR 0.98, 95% CI 0.85 to 1.12), but a trend towards an association with poor outcome after ICH (RR 1.38, 95% CI 0.99 to 1.92) and a significant association with poor outcome after SAH (RR 1.40, 95% CI 1.06 to 1.84). There was significant heterogeneity between the pooled results for the three pathological types of stroke (χ22df = 10.4, p = 0.005), and residual heterogeneity between the results of the five SAH studies (Figure 2).
Figure 2.
Meta-analysis of effect of ε4+ genotypes on death or dependency several months after acute stroke. n = number dead or dependent at time of outcome assessment. N = number with specified genotype. Squares represent point estimates of relative risks, with size proportional to the statistical weight of each study. Horizontal lines correspond to 95% confidence intervals. Pooled relative risks are shown as diamonds, whose width is their 95% confidence interval.
There was no significant effect of ε2+ versus ε2− genotypes, either overall or for the pathological types of stroke considered separately. However, the reliability of these analyses is limited, since they were based on less than half of the available data.
Effects on death – main analyses
The pattern of the results for ε4+ versus ε4− genotypes was similar to that for death or dependency, although less than half of the total subjects contributed to these analyses. Overall there was a just significant increase in the risk of death with an ε4+ genotype (RR 1.24, 95% CI 0.92 to 1.67). There was no significant effect for IS (RR 1.08, 95% CI 0.75 to 1.55), but ε4+ genotypes conferred a non-significant trend towards an increased risk of death for patients with ICH (RR 1.63, 95% CI 0.89 to 2.98), and SAH (RR 1.98, 95% CI 0.72 to 5.49). However, since there was no statistically significant heterogeneity between results of the individual studies or the three pathological types of stroke, these subgroup analyses should be interpreted with caution (Figure 3).
Figure 3.
Meta-analysis of effect of ε4+ genotypes on death several months after acute stroke. n = number who had died by the time of outcome assessment. N = number with specified genotype. Notation otherwise as for Figure 2.
Data on the effects of ε2+ versus ε2− genotypes were only available for about one third of the available data, making the results of limited reliability. There was no significant effect on death overall or for the separate pathological types of stroke.
Most studies presented both unadjusted results and results adjusted for potential confounders of the association between APOE and outcome. Unadjusted and adjusted results were generally very similar, although in two of the SAH studies the association of ε4+ genotypes with poor outcome became more extreme after adjustment 19,20.
Sensitivity analyses
Results are shown in Webtables 1 and 2. Including plausible values for the eligible studies with unavailable data did not affect the results of our meta-analyses of the effect of ε4+ genotypes on outcome after ischaemic stroke 15,17. However, including plausible data for ICH from Catto et al produced a range of meta-analysis results, which included the possibility of no effect of ε4+ genotypes on death after intracerebral haemorrhage 15.
Discussion
These results suggest that ε4 carriers may be at increased risk of poor outcome (death or dependency, or death alone) several months after ICH or SAH but not after IS.
However, it is important to consider whether the apparently deleterious effect of ε4+ genotypes on outcome after ICH or SAH could be a false positive finding. Residual confounding seems unlikely to explain our findings, since unadjusted and adjusted results were generally similar. However, various potential sources of bias make false positive results a possibility. First, publication bias (where the results of small positive studies are more likely to be published than those of small negative studies) could explain why the pooled results of the smaller ICH and SAH studies (mean number of subjects 116) were positive while those of the larger IS studies (mean number of subjects 484) were not. Publication bias has been identified frequently in systematic reviews of observational epidemiological studies 31, including candidate gene studies, for example our own of the role of APOE in incidence of different pathological types of stroke 3. Second, reporting bias could have affected our findings, since data on both outcomes of interest were not available from all studies. Furthermore, data from 60 ICH patients in one study could not be included in our main analyses 15, but including plausible values for the results of this study in a sensitivity analysis produced a range of meta-analysis results that included the possibility of no effect of ε4+ genotypes on death after ICH. Third, selection and loss-to-follow-up biases may have affected our results because, although several studies recruited consecutive patients, patients had to survive long enough to give consent and provide a sample for DNA, with the inevitable exclusion of the most severely affected stroke patients who died early. In addition, outcome data were not available for all recruited patients, and one ICH study reported outcome at hospital discharge, which may have introduced bias if time to discharge varied between APOE genotype groups 18.
Could the result of no apparent effect on outcome after IS be a false negative finding? This seems less likely, particularly since two additional eligible studies for which we were unable to obtain data found no association between APOE and outcome after IS, and including plausible values for these in sensitivity analyses did not alter our findings 15,17. Our meta-analysis of effects on death or dependency after IS included studies with varying outcome definitions, but this seems unlikely to have affected the overall results since the RRs for the different studies were very similar. Another possibility is that we may have missed an effect on outcome after IS because of an interaction with age. The patients in the IS studies were slightly older than the patients with haemorrhagic stroke, particularly SAH. A recent study found that the effect of ε4+ genotypes on death or severe disability six months after acute head injury was age-dependent, with the most pronounced association occurring in children and young adults 32. This raises the possibility that an association between APOE genotype and outcome after IS might only be detectable in younger patients, and that the association between APOE genotype and outcome after ICH or SAH may be stronger in younger age groups. However, given the small difference in mean age between the patients in IS, ICH and SAH studies, this seems unlikely to be the only reason for the difference in results between haemorrhagic and ischaemic pathological types of stroke.
The explanation for the apparent differences between the effects on different pathological types of stroke, if real, is uncertain. Some studies have suggested that the effects on SAH might be due to an association of ε4+ genotypes with delayed ischaemic neurological deficit 21,33. A study exploring the reasons for the association between ε4+ genotypes and poor outcome after ICH found no detectable effect of APOE on haematoma or oedema volumes 18. Another study that examined whether the effects of APOE on coagulation profiles might explain the different effects on outcome after IS and ICH found inconclusive results 26.
In summary, our results suggest that APOE may affect outcome after ICH and SAH, but not IS. Further, much larger studies are needed to confirm or refute these findings and to assess the possibility of an interaction between the effects of APOE genotype and age. If the apparent differences between pathological types of stroke are confirmed, research into the reasons for this should enhance our understanding of the role of apoE in recovery after stroke, and may ultimately lead to new therapeutic insights.
Acknowledgements
We are very grateful to Brenda Thomas for her help with designing the electronic search strategy, and to Peter Sandercock, Charles Warlow and Caroline Jackson for their helpful comments on an earlier draft.
Funding
NAM-G is supported by CONACyT México. CLMS is supported by a Wellcome Trust Clinician Scientist award. Neither funding source had any role in the design, analysis or interpretation of the results this study, or in the writing of the paper or the decision to submit for publication.
Appendix
Search Strategy in Medline*
apolipoproteins/ or apolipoproteins e/
((apolipoprotein$ adj e) or (apoprotein$ adj e) or apo-e or apo e or apoe).tw.
((apolipoprotein$ adj e2) or (apoprotein$ adj e2) or apo-e2 or apo e2 or apoe2).tw.
((apolipoprotein$ adj e3) or (apoprotein$ adj e3) or apo-e3 or apo e3 or apoe3).tw.
((apolipoprotein$ adj e4) or (apoprotein$ adj e4) or apo-e4 or apo e4 or apoe4).tw.
((apolipoprotein$ adj e5) or (apoprotein$ adj e5) or apo-e5 or apo e5 or apoe5).tw.
((apolipoprotein$ adj e7) or (apoprotein$ adj e7) or apo-e7 or apo e7 or apoe7).tw.
1 or 2 or 3 or 4 or 5 or 6 or 7
exp cerebrovascular disorders/ or exp basal ganglia cerebrovascular disease/ or exp brain ischemia/ or exp carotid artery diseases/ or exp cerebrovascular accident/ or exp hypoxia-ischemia, brain/ or exp intracranial arterial diseases/ or exp “intracranial embolism and thrombosis”/ or exp intracranial hemorrhages/ or vasospasm, intracranial/
(stroke$ or apoplexy or cerebral vasc$ or cerebrovasc$ or cva$).tw.
9 or 10
8 and 11
limit 12 to human
* A similar strategy was designed for Embase
Footnotes
Competing interests
None
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