TO THE EDITOR
In humans, apolipoprotein E (apoE) has three isoforms: apoE2, apoE3, and apoE4. APOE4 is a major genetic risk factor for Alzheimer’s disease (AD).1 ApoE4 has direct effects on the cerebrovascular system resulting in microvascular lesions and blood-brain barrier (BBB) damage, as recently reviewed.2 Neurovascular dysfunction is also present in cognitively normal APOE4 carriers and individuals with APOE4-associated disorders including AD.1 - 3 Moreover, post-mortem brain tissue analysis has indicated that BBB breakdown in AD patients is more pronounced in APOE4 carriers compared to APOE3 or APOE2.4 - 6 Our recent studies in transgenic mice have demonstrated that apoE4 leads to BBB breakdown by activating the proinflammatory cyclophilin A (CypA)-matrix metalloproteinase-9 (MMP-9) pathway in brain pericytes which in turn results in degradation of the BBB tight junctions and basement membrane proteins.7 It has also been shown that apoE4-mediated BBB breakdown leads to secondary neuronal injury and cognitive decline in transgenic mice.7 ApoE2 and apoE3 maintained normal BBB integrity in transgenic mice by suppressing the CypA-MMP9 pathway.7 Here, we studied the cerebrospinal fluid (CSF)/plasma albumin quotient (QAlb), an established marker of BBB breakdown8, and CypA and active MMP-9 levels in CSF of cognitively normal individuals with different APOE genotypes to determine whether apoE4-dependent changes in BBB permeability and CypA-MMP9 pathway as shown in APOE4, but not APOE3 and APOE2 transgenic mice, also occur in humans.
METHODS
Participants were volunteers who were recruited through advertisements or from the Memory Education and Research Initiative Program at the Nathan S. Kline Institute for Psychiatric Research.9 Participants gave their informed consent to participate in studies approved by the Institutional Review Board of the Nathan S. Kline Institute for Psychiatric Research and New York University School of Medicine. We studied a total of 49 cognitively normal individuals as indicated by the Clinical Dementia Rating (CDR) score of 0 and Mini-Mental State Examination (MMSE) score of approximately 30. This study did not exclude participants meeting criteria for Major Depressive Disorder as there were no differences in the studied markers of BBB damage in this group compared to controls. The studied individuals represented 3 different APOE genotypes: APOE2/E2 (n = 11), APOE3/E3 (n = 28) and APOE3/E4 (n = 10). Within each genotype, individuals were stratified into two age groups, 40-65 and 66-85 years old to control for age-dependent effects (Table 1). CSF and plasma collection and APOE genotyping were performed as described.9 Enzyme-linked immunosorbent assays (ELISA) were used to determine levels of CypA (Cat. No. sE90979Hu, USCN Life Science, Houston, TX), active MMP-9 (Cat. No. 72017, AnaSpec, Fremont, CA) and albumin (Cat. No. E-80AL, Immunology Consultant Laboratories, Portland, OR). Data were analyzed by multifactorial analysis of variance with 2 factors (age and APOE genotype), with Bonferroni post-hoc tests to adjust for multiple comparisons, and Pearson’s correlation analysis using Graphpad Prism 5.0. Analyses were performed by an investigator blinded to the experimental conditions. A P value of less than 0.05 was considered statistically significant.
Table 1. Demographic data.
APOE genotype / age (years) |
||||||
---|---|---|---|---|---|---|
APOE2/E3 (40-65) |
APOE2/E3 (66-85) |
APOE3/E3 (40-65) |
APOE3/E3 (66-85) |
APOE3/E4 (40-65) |
APOE3/E4 (66-85) |
|
n | 5 | 6 | 18 | 10 | 5 | 5 |
Female (%) | 40.0 | 16.7 | 55.6 | 50.0 | 80.0 | 20.0 |
Age at LP, years (SD) | 53.0 (10.6) | 73.3 (4.7) | 59.2 (7.3) | 70.8 (4.8) | 56.2 (7.8) | 75.2 (4.4) |
MMSE (SD) | 29.6 (0.5) | 29.2 (1.2) | 29.7 (0.7) | 29.4 (0.8) | 30.0 (0) | 29.4 (0.5) |
CDR Score | 0 | 0 | 0 | 0 | 0 | 0 |
Education, years (SD) | 14.6 (1.7) | 16.2 (3.1) | 15.6 (2.5) | 15.2 (2.4) | 15.6 (0.9) | 19.2 (2.7) |
Abbreviations: APOE, apolipoprotein E; CDR, Clinical Dementia Rating; LP, lumbar puncture; MMSE, Mini-Mental State Examination; SD, standard deviation
RESULTS
Older cognitively normal individuals carrying one APOE4 allele compared to younger cognitively normal APOE4 carriers or age-matched APOE4 non-carriers had increased QAlb by approximately 77% and 67%, respectively (p < 0.01; Figure 1A). No age-dependent increase in QAlb was associated with APOE2 or APOE3 alleles. Compared to cognitively normal younger APOE4 carriers or age-matched APOE4 non-carriers, older cognitively normal APOE4 carriers had increased CSF levels of CypA by approximately 190% and 95%, respectively (p < 0.01; Figure 1B) and active MMP-9 by 167% and 110%, respectively (p < 0.05; Figure 1C). No age-dependent changes in CypA or MMP-9 CSF levels were associated with APOE2 or APOE3 alleles. Importantly, increases in QAlb values correlated positively with both CypA and active MMP-9 CSF levels in all studied individuals (r = 0.37, p < 0.01; r = 0.45, p < 0.01) (Figure 1D and E) indicating the greater the increase in CypA and active MMP-9 levels the greater the magnitude of BBB breakdown assayed by QAlb.
DISCUSSION
This study shows that APOE4 carriers may be susceptible to an age-dependent BBB breakdown prior to onset of clinical decline as determined by CDR and MMSE scores. Furthermore, these findings are consistent with experimental studies suggesting that apoE4 leads to BBB damage in transgenic mice via activation of CypA-MMP-9 pathway.7 These findings warrant future longitudinal studies to investigate QAlb and CSF levels of CypA and active MMP-9 in cognitively normal APOE4 carriers as they progress to mild cognitive impairment and eventually AD. With current diagnostic markers, by the time the earliest detectable clinical signs of disease appear, significant brain injury has likely already occurred. Therefore, studying markers of BBB damage along with commonly used β-amyloid-42 and tau CSF levels may contribute to early detection of vascular dysfunction of those at risk for cognitive decline and AD.
ACKNOWLEDGMENTS
Funding/Support: This work was supported by grants R37NS34467 and R37AG23084 to B.V.Z. from the National Institutes of Health (NIH) and by grant R01MH-080405 to N.P. from the NIH.
Additional Contributions: The authors would like to thank Leslie Saint-Louis, M.D., Antero S. Sarreal, M.D. and Raymundo T. Hernando, M.D. for their assistance with patient recruitment.
Footnotes
Conflict of Interest Disclosures: None reported.
Author Contributions: Zlokovic had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Zlokovic, Pomara and Frangione. Acquisition of data: Halliday, Pomara and Sagare. Analysis and interpretation of data: Halliday and Zlokovic. Drafting of the manuscript: Halliday and Zlokovic. Critical revision of the manuscript for important intellectual content: Pomara, Sagare, Frangione and Zlokovic. Statistical analysis: Mack and Halliday. Study supervision: Zlokovic.
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