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O2-13-06 PREDICTING ALZHEIMER’S DISEASE FROM A BLOOD-BASED BIOMARKER PROFILE: RESULTS FROM AIBL AT 54 MONTHS Samantha C. Burnham, David Ames, David Baker, Ashley I. Bush, Lynne Cobiac, James Doecke, Kathryn A. Ellis, Noel Garry Faux, Richard Head, Harri Kiiveri, Simon Matthew Laws, Ralph Martins, Paul Maruff, Greg Savage, Bill Wilson, Lance Macaulay, Christopher Cleon Rowe, Colin Louis Masters, AIBL RESEARCH

proteins was quantitated using a l abel-free protein quantification method, and these were competed with the concentrations of A b42, pTau181, and tTau. Results: The MMSE score in AD patients was 21.3 6 4.9, and the average CDR scores were 0.86 0.3. All of the CSF samples were sufficient to establish the diagnostic cut-off value of the Ab42/pTau181 and Ab42/ tTau ratios in our laboratory.Fifteen of the 724 protein samples demonstrated a significant correlation with at least one of the AD biomarkers (p < 0.05). Seven of these proteins were previously identified as AD biomarkers, whereas eight were newly found. T he direction of change in the levels of Ab42 was found to be opposite to those of the levels of the Tau proteins in all analytes. Regarding the Ab42 levels, four proteins revealed a significant correlation. Another four proteins demonstrated a significant correlation with both pTau181 and tTau concentrations. We found three proteins to have a significant relationship only with pTau181, whereas two proteins showed a significant correlation only with tTau levels. Interestingly, t here were no analytes that demonstrated a correlation with both Ab42 and Tau proteins simultaneously. The remaining proteins showed a distinct correlation with the combined ratio of Ab42/ pTau181 or Ab42/tTau; however, the relationship with the individual concentrations was statistically negligible. Conclusions: Through our work, we identified new candidate CSF biomarkers of AD. Considering their biological roles, these candidate markers are suggested to be intimately related to AD pathophysiology. Further investigations are needed to identify their values as surrogate biomarkers or therapeutic targets in AD.

factors influence the proportion of dementia subtypes. Dementia in India is expected to reach epidemic proportions in the next two decades but studies on dementia are few. We studied patients attending a memory clinic in a private hospital in South India to describe the clinical profile and compare the socio-cultural factors influencing diagnosis and dementia care in this population with studies from developed countries. Methods: Consecutive patients attending the memory clinic at Manipal hospital, Bangalore over three years were included. Socio-demographic information including income, education and linguistic background was collected. All patients underwent detailed neurological evaluation, cognitive testing, blood tests and neuroimaging. The diagnosis of MCI, dementia and the different subtypes was based on standard criteria. Results: The mean age at presentation was 65.8(9.0) years, range 4087 years. There were 127 men and 93 women. Of the total 220 patients, MCI was diagnosed in 57 (25.9%), Alzheimer’s disease (AD) in 62 (28.1%), vascular dementia (VaD) in 38 (17.3%), and mixed dementia in four patients. 37 (16.8%) patients were diagnosed as frontotemporal lobar degeneration (FTD) and its variants. Other degenerative dementias were seen in 13 and miscellaneous causes in 8 patients. One patient did not appear to have any cognitive impairment. Majority of the patients (80.4%) were bilingual or multilingual and 10 (4.9%) patients were illiterate. VaD was more common in men (3:1) and AD in women (1.5:1). Majority of the MCI patients had depression (54.4%) and seven patients developed AD during follow-up. All the patients were cared for at home by relatives except for one patient who had an appointed caretaker. Conclusions: Alzheimer’s disease was more common than vascular dementia in this study from an urban hospital in South India, in spite of the high prevalence of vascular risk factors in this population. Depression was a common cause of mild cognitive impairment. In this study of a relatively young (mean age) dementia cohort, all patients had home based care in contrast to studies from developed countries. P1-146 PREDICTORS OF COGNITIVE DECLINE AT 18 MONTH FOLLOW UPAMONG 1112 PARTICIPANTS IN THE AUSTRALIAN IMAGING, BIOMARKERS AND LIFESTYLE FLAGSHIP STUDY OFAGEING (AIBL) Kathryn A. Ellis, Christopher Rowe, ColinMasters, Cassandra Szoeke, Kevin Taddei, Ralph Martins, Victor Villemagne, Michael Fahey, David Ames, PaulMaruff, Ping Zhang, Greg Savage, AIBLResearch Group, Lance Macaulay, University of Melbourne, Kew; Austin Health, University of Melbourne, Heidelberg, Melbourne; University of Melbourne, Melbourne, VIC; CSIRO, Melbourne; Edith Cowan University, Perth; Edith Cowan University, Perth; Austin Health, Melbourne; Division of Mathematics, Informatics and Statistics, CSIRO, Parkville, VIC; National Ageing Research Institute, Parkville; CogState, Melbourne; CSIRO, Parkville; Macquarie Centre for Cognitive Science, Macquarie University, Sydney, NSW; Mental Health Research Institute, Perth; CSIRO, Parkville.

The Mediterranean diet (MeDi), due to its correlation with a low morbidity and mortality for many chronic diseases, has been widely recognised as a healthy eating model. We aimed to investigate, in a cross-sectional study, the association between adherence to a MeDi and risk for Alzheimer's disease (AD) and mild cognitive impairment (MCI) in a large, elderly, Australian cohort. Subjects in the Australian Imaging, Biomarkers and Lifestyle Study of Ageing cohort (723 healthy controls (HC), 98 MCI and 149 AD participants) completed the Cancer Council of Victoria Food Frequency Questionnaire. Adherence to the MeDi (0- to 9-point scale with higher scores indicating higher adherence) was the main predictor of AD and MCI status in multinominal logistic regression models that were adjusted for cohort age, sex, country of birth, education, apolipoprotein E genotype, total caloric intake, current smoking status, body mass index, history of diabetes, hypertension, angina, heart attack and stroke. There was a significant difference in adherence to the MeDi between HC and AD subjects (P