[Frontiers in Bioscience 14, 3879-3883, January 1, 2009] |
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Identification of autoantibody against beta-amyloid peptide in the serum of elderly Ji-Hoon Sohn1, Jung On So1, Hyun Joo Hong1, Jong Won Kim2, Duk Ryul Na2, Manho Kim3, Hee Kim4, Eunjoo Nam4, Hee Jin Ha4, Young Ho Kim4, Inhee Mook-Jung1
1 TABLES OF CONTENTS
1. ABSTRACT Alzheimer's disease (AD) is characterized by two major neurological features: amyloid deposits and neurofibrillary tangles in the brain. According to the amyloid cascade hypothesis, accumulation of amyloid-beta peptide (A-beta) plays a central role in the pathogenesis of AD. Several lines of evidence suggest that antibodies against A-beta play a protective role in the neuropathology of AD. In this study, we describe the purification of an autoantibody against A-beta from human serum using affinity purification method. The purified autoantibody recognized A-beta deposits in the brain of aged Tg2676 mice, an animal model of AD. The serum levels of anti-A-beta autoantibody correlated inversely with age in both AD patients and control non-demented elderly subjects. Furthermore, the levels were significantly lower in AD patients compared with the age-matched control subjects. It is the first time to show the identification of endogenous anti-A-beta autoantibody in human serum and suggesting that serum levels of anti-A-beta autoantibody might be a good biomarker for AD patients. 2. INTRODUCTION 3. MATERIALS AND METHODS
3.1. PATIENTS AND CONTROLS Blood samples were collected from patients with AD (n = 136, mean mini-mental state examination score�SD = 17.3�6.9) and non-demented elderly control subjects (n = 210) at Samsung medical center in Seoul, Korea, under the approval of the Institutional Review Board. All subjects consented to the study. Patients with AD met the National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria for probable AD (12). Supplementary table 1 summarizes the demographic characteristics of participating subjects. 3.2. PURIFICATION OF HUMAN ANTI-A-BETA ANTIBODY A-beta 1-42 (US peptide Inc, Rancho Cucamonga, CA) was conjugated with BSA with glutaraldehyde (5), followed by coupling to CNBr-activaed Sepharose 4 Fast Flow (Amersham Pharmacia Biotech, Uppsala, Sweden). Anti-A-beta antibody was purified from 100 ml of normal human serum according to the instructions provided by the manufacturer. 3.3. ANTI A-BETA ANTIBODY ENZYME-LINKED IMMUNOSORBENT ASSAY (ELISA) Microtiter wells (Maxisorp, Nunc, Roskilde, Denmark) were coated with 1 m g/well monomeric human A-beta 1-42 (Bachem, Bubendorf, Switzerland) and blocked with 10% FBS/PBS buffer. The plates were then incubated with blood serum samples diluted at 1:100 in 10% FBS/PBS buffer. After washing, the wells were incubated with secondary antibody of sheep anti-human IgG antibody conjugated to horseradish peroxidase (1:2000 dilution, Amersham Pharmacia Biotech, Buckinghamshire, UK). Color reaction was performed with a substrate, 3,3′,5,5′-tetramethylbenzidine (Pierce, Rockford, IL) followed by reading on a plate reader (PowerWave XS, Biotek, VT) at 450 nm. 3.4. ANIMALS AND IMMUNOHISTOCHEMISTRY Tg2576 mice carrying human APP695 with the Swedish mutation were generated as described previously (13). A-beta deposits were visualized immunohistochemically as described previously (14) except using mAb 4G8, which recognizes the A-beta 17-28 region (Senetek, St. Louis, MO) and purified human anti-A-beta antibody, at 1:100 and 1:2 dilution, respectively. The experimental protocol was approved by the Ethics Review Committee for Animal Experimentation of Seoul National University. 3.5. STATISTICAL ANALYSIS Comparisons of the levels of anti-A-beta autoantibody were performed by unpaired t-test. Correlations between anti-A-beta autoantibody level and age were examined using Pearson correlation analysis. P value less than 0.05 denoted the presence of a statistically significant difference. All statistical analyses were performed using Graphpad Instat 3.0 (GraphPad Software Inc., San Diego, CA) statistical software package. 4. RESULTS AND DISCUSSION We first purified anti-A-beta autoantibody from human serum using affinity purification to investigate its putative role in the neuropathology of AD and normal aging. Coomassie brilliant blue staining showed a purified human anti-A-beta autoantibody (Figure 1 A) after SDS-PAGE. Immunohistochemical staining of coronal brain sections of 24-month-old Tg2576 mice showed that the purified human anti-A-beta autoantibody recognized the A-beta deposit in hippocampal regions of the brains (Figure 1 B), confirming that the purified antibody is a naturally occurring serum anti-A-beta autoantibody. Although purified anti-A-beta autoantibody was not as sensitive as mAb 4G8, specific bindings were validated by comparing the locations of stained A-beta deposits by 4G8 and by purified anti-A-beta autoantibody on the serial sections (Figure 1 C and D). We next measured the serum levels of anti-A-beta autoantibody in AD patients (n = 136, age: 70.0�10.0 years, mean�SD) and normal nondemented elderly individuals (n = 210, age: 70.0�9.8 years). The mean level of anti-A-beta autoantibody in the serum was significantly lower in patients with AD compared with the control (Figure 2 A, P < 0.0001). Serum anti-A-beta autoantibody levels of 71% of AD patients were lower than the mean level (0.32�0.01 optical density, mean�SEM) of the control (Figure 2 B). Consistent with previous reports (15, 16), no significant difference were observed in serum IgG concentrations between control and AD (data not shown) suggesting that the low levels of anti-A-beta autoantibody in the sera of AD patients was not simply due to age-associated nonspecific immune deficiency. It is possible that the low autoantibody level is due to T cell tolerance of A-beta. Cultured T cells from patients with AD or from APP transgenic mice showed impaired proliferative responses against A-beta (17, 18). In addition, the levels of anti-A-beta autoantibody were correlated inversely with age in both AD patients (P < 0.005) and control subjects (P < 0.0001). In the entire group of 346 subjects, anti-A-beta autoantibody levels were inversely and significantly correlated with age (Pearson's r = -0.27, P < 0.0001, 95% confidence interval = -0.37 to -0.17, Figure 2 C). The reason for the more significant correlation in control than in AD is probably due to the larger proportion of elderly individuals among the control group than AD group (Table 1). Lastly, we analyzed the differences in anti-A-beta autoantibody levels between control and AD stratified according to age. The most significant reduction was noted in the 60-69 years old AD patients (P = 0.0003), relative to other age groups and the control. The differences between control and AD tended to diminish in older groups (70-79 group, P = 0.003; 80-90 group, P = not significant). Furthermore, the mean levels of anti-A-beta autoantibody were similar between control subjects and AD patients aged less than 60 years (Figure 2 D). Considered together, the above results indicate that serum levels of anti-A-beta autoantibody are significantly lower in the 60-69 year old AD patients, which coincides with the sharp rise in the incidence of AD during that age period. In conclusion, our study suggests that serum levels of anti-A-beta autoantibody decrease with age, thus increasing the risk of AD in the elderly, and that insufficient production of anti-A-beta autoantibody in patients with AD, which persists after the age of 60, could contribute to the progression of the disease. 5. ACKNOWLEDGMENTS This work was supported by grants from 21C Frontier Functional Proteomics Project (FPR08K1301-02210), New drug target discovery project (08N4800-09610), and AARC program project (R11-2002-097-08001) for IMJ. 6. REFERENCES 1. Selkoe, D. J.: Alzheimer's disease: genes, proteins, and therapy. Physiol Rev, 81, 741-66 (2001)
Key Words: Beta-Amyloid Peptide, Anti- A-beta, autoantibody, Alzheimer's disease, Aging Send correspondence to: Inhee Mook-Jung, Department of Biochemistry & Cancer Research Institute, Seoul National University College of Medicine, 28 Yongon-dong, Jongno-gu, Seoul 110-799, Korea. Tel: 82 2 740 8245; Fax: 82-2-744-4534. E-mail:inhee@snu.ac.kr |