Dataset Information

Serum leptin and risk of cognitive decline in elderly italians.

ABSTRACT: BACKGROUND:US studies suggest that leptin, a fat-derived hormone, may be protective against the development of dementia. OBJECTIVE:To investigate the complex relationship between leptin levels and cognitive decline in elderly Italians. METHODS:We studied circulating fasting leptin levels in 809 elderly adults free from dementia who participated in the prospective Italian population-based InCHIANTI study between 1998 and 2009 (mean follow-up of 8.0 years). Global cognitive decline was defined as a reduction of ?5 points on the Mini-Mental State Examination (MMSE). Trail-Making Tests A and B were also incorporated, with cognitive decline defined as discontinued testing or the worst 10% of change from baseline. We also investigated whether any association could be explained by midlife weight and whether cognitive decline was associated with changing leptin levels. RESULTS:The multivariate adjusted relative risk ([RR]; 95% confidence interval [CI]) of cognitive decline on the MMSE was 0.84 (95% CI 0.73-0.97) in relation to baseline sex-standardized log-leptin levels. High leptin levels showed a non-significant trend toward a reduced risk of decline on the Trail-Making Tests A (RR = 0.85, 95% CI 0.71-1.02) and B (RR = 0.90, 0.79-1.02). Adjusting for midlife weight or change in weight did not alter the pattern of results, and cognitive decline was not associated with changing leptin levels. CONCLUSIONS:High leptin levels were independently associated with a reduced risk of cognitive decline in elderly Italians.

SUBMITTER: Littlejohns TJ

PROVIDER: S-EPMC5873309 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Serum leptin and risk of cognitive decline in elderly italians.

Littlejohns Thomas J TJ Kos Katarina K Henley William E WE Cherubini Antonio A Ferrucci Luigi L Lang Iain A IA Langa Kenneth M KM Melzer David D Llewellyn David J DJ

Journal of Alzheimer's disease : JAD 20150101 4

<h4>Background</h4>US studies suggest that leptin, a fat-derived hormone, may be protective against the development of dementia.<h4>Objective</h4>To investigate the complex relationship between leptin levels and cognitive decline in elderly Italians.<h4>Methods</h4>We studied circulating fasting leptin levels in 809 elderly adults free from dementia who participated in the prospective Italian population-based InCHIANTI study between 1998 and 2009 (mean follow-up of 8.0 years). Global cognitive d ...[more]

PMID: 25502764

Similar Datasets

Project description:The importance of early interventions in Alzheimer's disease (AD) emphasizes the need to accurately and efficiently identify at-risk individuals. Although many dementia prediction models have been developed, there are fewer studies focusing on detection of brain pathology. We developed a model for identification of amyloid-PET positivity using data on demographics, vascular factors, cognition, APOE genotype, and structural MRI, including regional brain volumes, cortical thickness and a visual medial temporal lobe atrophy (MTA) rating. We also analyzed the relative importance of different factors when added to the overall model. The model used baseline data from the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) exploratory PET sub-study. Participants were at risk for dementia, but without dementia or cognitive impairment. Their mean age was 71 years. Participants underwent a brain 3T MRI and PiB-PET imaging. PiB images were visually determined as positive or negative. Cognition was measured using a modified version of the Neuropsychological Test Battery. Body mass index (BMI) and hypertension were used as cardiovascular risk factors in the model. Demographic factors included age, gender and years of education. The model was built using the Disease State Index (DSI) machine learning algorithm. Of the 48 participants, 20 (42%) were rated as A? positive. Compared with the A? negative group, the A? positive group had a higher proportion of APOE ?4 carriers (53 vs. 14%), lower executive functioning, lower brain volumes, and higher visual MTA rating. AUC [95% CI] for the complete model was 0.78 [0.65-0.91]. MRI was the most effective factor, especially brain volumes and visual MTA rating but not cortical thickness. APOE was nearly as effective as MRI in improving detection of amyloid positivity. The model with the best performance (AUC 0.82 [0.71-0.93]) was achieved by combining APOE and MRI. Our findings suggest that combining demographic data, vascular risk factors, cognitive performance, APOE genotype, and brain MRI measures can help identify A? positivity. Detecting amyloid positivity could reduce invasive and costly assessments during the screening process in clinical trials.

Dataset Information

Serum leptin and risk of cognitive decline in elderly italians.

Publications

Serum leptin and risk of cognitive decline in elderly italians.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets