Dataset Information

Multimorbidity and neuroimaging biomarkers among cognitively normal persons.

ABSTRACT:

Objective

To assess the cross-sectional association between multimorbidity and imaging biomarkers of brain pathology in the population-based Mayo Clinic Study of Aging (MCSA).

Methods

The study consisted of 1,449 MCSA participants who were cognitively normal at the time of MRI. A subset of the participants also had (11)C-Pittsburgh compound B (n = 689) and (18)fluorodeoxyglucose (n = 688) PET scans available. Information on multimorbidity (defined as ?2 chronic conditions) in the 5 years prior to the first imaging study was captured from the medical record using ICD-9 codes for chronic conditions and the Rochester Epidemiology Project medical records linkage system. The cross-sectional association of multimorbidity and imaging biomarkers was examined using logistic and linear regression models.

Results

Among 1,449 cognitively normal participants (mean age 79 years; 50.9% men), 85.4% had multimorbidity (?2 chronic conditions). Multimorbidity and severe multimorbidity (?4 chronic conditions) were associated with abnormal Alzheimer disease (AD) signature meta-region of interest (meta-ROI) (18)F-FDG hypometabolism (odds ratio [OR] 2.03; 95% confidence interval [CI] 1.10-3.77 and OR 2.22; 95% CI 1.18-4.16, respectively), and with abnormal AD signature MRI cortical thickness (OR 1.53; 95% CI 1.09-2.16 and OR 1.76; 95% CI 1.24-2.51, respectively), but was not associated with amyloid accumulation.

Conclusions

Multimorbidity was associated with brain pathology through mechanisms independent of amyloid deposition and such neuronal injury and pathology was present before any symptomatic evidence of cognitive impairment. Longitudinal follow-up will provide insights into potential causal associations of multimorbidity with changes in brain pathology.

SUBMITTER: Vassilaki M

PROVIDER: S-EPMC4891208 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Multimorbidity and neuroimaging biomarkers among cognitively normal persons.

Vassilaki Maria M Aakre Jeremiah A JA Mielke Michelle M MM Geda Yonas E YE Kremers Walter K WK Alhurani Rabe E RE Machulda Mary M MM Knopman David S DS Petersen Ronald C RC Lowe Val J VJ Jack Clifford R CR Roberts Rosebud O RO

Neurology 20160413 22

<h4>Objective</h4>To assess the cross-sectional association between multimorbidity and imaging biomarkers of brain pathology in the population-based Mayo Clinic Study of Aging (MCSA).<h4>Methods</h4>The study consisted of 1,449 MCSA participants who were cognitively normal at the time of MRI. A subset of the participants also had (11)C-Pittsburgh compound B (n = 689) and (18)fluorodeoxyglucose (n = 688) PET scans available. Information on multimorbidity (defined as ≥2 chronic conditions) in the ...[more]

PMID: 27164657

Similar Datasets

Project description:BackgroundMultimorbidity (defined as ≥2 chronic conditions) has been associated with increased risk of mild cognitive impairment and cross-sectionally with imaging biomarkers of neurodegeneration in cognitively unimpaired persons aged ≥70 years. Its association with preclinical Alzheimer's disease stages has not been studied in detail yet. The objective of the study was to assess the cross-sectional association of multimorbidity with preclinical Alzheimer's disease stages and suspected non-amyloid pathophysiology in cognitively unimpaired participants of the Mayo Clinic Study of Aging (≥50 years of age).MethodsThe study included 1,535 cognitively unimpaired participants with multimorbidity, 11C-PiB positron emission topography and magnetic resonance imaging data available. Abnormal (elevated) 11C-PiB-positron emission topography retention ratio (A+; standardized uptake value ratio >1.42) and abnormal (reduced) Alzheimer's disease signature cortical thickness (N+; <2.67 mm) were used to define biomarker combinations (A-N-, A+N-, A-N+, A+N+). Chronic medical conditions were ascertained by using the Rochester Epidemiology Project medical records linkage system and International Classification of Diseases criteria. Cross-sectional associations were examined using multinomial logistic regression models adjusting for age, sex, education, and apolipoprotein E ɛ4 allele status.ResultsFrequency of A+, N+, A+N+, and A-N+ biomarker groups increased significantly with increasing number of chronic conditions. Multimorbidity was significantly associated with A+N+ (vs A-N-; odds ratio, 1.76, 95% confidence interval 1.02, 2.90) and A-N+ (vs A-N-; odds ratio, 2.16, 95% confidence interval 1.47, 3.18). There was a dose-response relationship between increasing number of chronic conditions (eg, 0-1, 2-3, and 4+) and the odds of A+N+ and A-N+ (vs A-N-).ConclusionsMultimorbidity was associated with biomarker combinations that included neurodegeneration with or without elevated amyloid deposition (ie, A-N+, A+N+). The associations should be validated in longitudinal studies.

Project description:ObjectiveThere is increasing evidence to suggest that diet, one of the most important modifiable environmental factors, may play a role in preventing or delaying cognitive decline and Alzheimer's disease (AD). This study examines the relationship between dietary nutrients and brain biomarkers of AD in cognitively normal individuals (NL) with and without AD risk factors.DesignAs part of an ongoing brain imaging study, participants received clinical and laboratory examinations, a neurocognitive test battery, positron emission tomography (PET) with (11)C-Pittsburgh Compound-B (PiB; a measure of amyloid-? (A?) load) and (18)F-fluorodeoxyglucose (FDG; a proxy of neuronal activity), and completed semiquantitative food frequency questionnaires.SettingResearch centre affiliated with the Alzheimer's disease Core Center at New York University School of Medicine.Participants49 NL individuals (age 25-72?years, 69% women) with dietary information, (11)C-PiB and (18)F-FDG PET scans were examined.ResultsControlling for age and total caloric intake, higher intake of vitamin B12, vitamin D and ?-3 polyunsaturated fatty acid (PUFA) was associated with lower A? load in AD regions on PiB-PET, while higher intake of ?-carotene and folate was associated with higher glucose metabolism on FDG-PET. ?-carotene and folate were associated with reduced glucose metabolism for women, apolipoprotein E epsilon 4 (APOE4) carriers and participants with positive AD family history, but not for their risk-free counterparts. The associations of vitamin B12, vitamin D and ?-3 PUFA with PiB retention were independent of gender, APOE and family history. The identified nutrient combination was associated with higher intake of vegetables, fruit, whole grains, fish and legumes, and lower intake of high-fat dairies, meat and sweets.ConclusionsOur data provide a potential pathophysiological mechanism for epidemiological findings showing that dietary interventions may play a role in the prevention of AD. Longitudinal studies are needed to determine whether there is a direct link between nutrient intake, brain biomarkers and risk of AD.

Project description:Among cognitively normal individuals, elevated brain amyloid (defined by cerebrospinal fluid assays or positron emission tomography regional summaries) can be related to risk for later Alzheimer-related cognitive decline.To characterize and quantify the risk for Alzheimer-related cognitive decline among cognitively normal individuals with elevated brain amyloid.Exploratory analyses were conducted with longitudinal cognitive and biomarker data from 445 cognitively normal individuals in the United States and Canada. Participants were observed from August 23, 2005, to June 7, 2016, for a median of 3.1 years (interquartile range, 2.0-4.2 years; maximum follow-up, 10.3 years) as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI).Individuals were classified at baseline as having normal (n?=?243) or elevated (n?=?202) brain amyloid using positron emission tomography amyloid imaging or a cerebrospinal fluid assay of amyloid ?.Outcomes included scores on the Preclinical Alzheimer Cognitive Composite (PACC; a sum of 4 baseline standardized z scores, which decreases with worse performance), Mini-Mental State Examination (MMSE; 0 [worst] to 30 [best] points), Clinical Dementia Rating Sum of Boxes (CDR-Sum of Boxes; 0 [best] to 18 [worst] points), and Logical Memory Delayed Recall (0 [worst] to 25 [best] story units).Among the 445 participants (243 with normal amyloid, 202 with elevated amyloid), mean (SD) age was 74.0 (5.9) years, mean education was 16.4 (2.7) years, and 52% were women. The mean score for PACC at baseline was 0.00 (2.60); for MMSE, 29.0 (1.2); for CDR-Sum of Boxes, 0.04 (0.14); and for Logical Memory Delayed Recall, 13.1 (3.3). Compared with the group with normal amyloid, those with elevated amyloid had worse mean scores at 4 years on the PACC (mean difference, 1.51 points [95% CI, 0.94-2.10]; P?<?.001), MMSE (mean difference, 0.56 points [95% CI, 0.32-0.80]; P?<?.001), and CDR-Sum of Boxes (mean difference, 0.23 points [95% CI, 0.08-0.38]; P?=?.002). For Logical Memory Delayed Recall, between-group score was not statistically significant at 4 years (mean difference, 0.73 story units [95% CI, -0.02 to 1.48]; P?=?.056).Exploratory analyses of a cognitively normal cohort followed up for a median of 3.1 years suggest that elevation in baseline brain amyloid level, compared with normal brain amyloid level, was associated with higher likelihood of cognitive decline, although the findings are of uncertain clinical significance. Further research is needed to assess the clinical importance of these differences and measure longer-term associations.

Project description:Epidemiological evidence linking diet, one of the most important modifiable lifestyle factors, and risk of Alzheimer's disease (AD) is rapidly increasing. However, there is little or no evidence for a direct association between dietary nutrients and brain biomarkers of AD. This study identifies nutrient patterns associated with major brain AD biomarkers in a cohort of clinically and cognitively normal (NL) individuals at risk for AD.Cross-sectional study.Manhattan (broader area).Fifty-two NL individuals (age 54+12 y, 70% women, Clinical Dementia Rating=0, MMSE>27, neuropsychological test performance within norms by age and education) with complete dietary information and cross-sectional, 3D T1-weighted Magnetic Resonance Imaging (MRI; gray matter volumes, GMV, a marker of brain atrophy), 11C-Pittsburgh compound-B (PiB; a marker of fibrillar amyloid-?, A?) and 18F-fluorodeoxyglucose (FDG; a marker of glucose metabolism, METglc) Positron Emission Tomography (PET) scans were examined.Dietary intake of 35 nutrients associated with cognitive function and AD was assessed using the Harvard/Willet Food Frequency Questionnaire. Principal component analysis was used to generate nutrient patterns (NP) from the full nutrient panel. Statistical parametric mapping and voxel based morphometry were used to assess the associations of the identified NPs with AD biomarkers.None of the participants were diabetics, smokers, or met criteria for obesity. Five NPs were identified: NP1 was characterized by most B-vitamins and several minerals [VitB and Minerals]; NP2 by monounsaturated and polyunsaturated fats, including ?-3 and ?-6 PUFA, and vitamin E [VitE and PUFA]; NP3 by vitamin A, vitamin C, carotenoids and dietary fibers [Anti-oxidants and Fibers]; NP4 by vitamin B12, vitamin D and zinc [VitB12 and D]; NP5 by saturated, trans-saturated fats, cholesterol and sodium [Fats]. Voxel-based analysis showed that NP4 scores [VitB12 and D] were positively associated with METglc and GMV, and negatively associated with PiB retention in AD-vulnerable regions (p<0.001). In addition, both METglc and GMV were positively associated with NP2 scores [VitE and PUFA], and negatively associated with NP5 scores [Fats] (p<0.001), and METglc was positively associated with higher NP3 scores [Anti-oxidants and Fibers] (p<0.001). Adjusting for age, gender, ethnicity, education, caloric intake, BMI, alcohol consumption, family history and Apolipoprotein E (APOE) status did not attenuate these relationships. The identified 'AD-protective' nutrient combination was associated with higher intake of fresh fruit and vegetables, whole grains, fish and low-fat dairies, and lower intake of sweets, fried potatoes, high-fat dairies, processed meat and butter.Specific dietary NPs are associated with brain biomarkers of AD in NL individuals, suggesting that dietary interventions may play a role in the prevention of AD by modulating AD-risk through its effects on A? and associated neuronal impairment.

Project description:BackgroundNeuropsychiatric symptoms (NPS) have been reported to be useful in predicting incident dementia among cognitively normal older persons. However, the literature has not been conclusive on the differential utilities of the various NPS in predicting the subtypes of dementia. This study compared the risks of Alzheimer's and non-Alzheimer's dementia associated with the various NPS, among cognitively normal older persons.MethodsThis cohort study included 12,452 participants from the Alzheimer's Disease Centers across USA, who were ≥ 60 years and had normal cognition at baseline. Participants completed the Neuropsychiatric Inventory-Questionnaire at baseline and were followed up almost annually for incident dementia (median follow-up = 4.7 years). Symptom clusters of NPS-as identified from exploratory and confirmatory factor-analyses-were included in the Cox regression to investigate their associations with incident dementia.ResultsThe various NPS showed independent yet differential associations with incident dementia. Although psychotic symptoms were rarely endorsed by the participants, they predicted much higher risk of dementia (HR 3.6, 95% CI 2.0-6.4) than affective symptoms (HR 1.5, 95% CI 1.2-1.8) or agitation symptoms (HR 1.6, 95% CI 1.3-2.1). Psychotic symptoms predicted all dementia subtypes, while affective and agitation symptoms differentially predicted some subtypes. Across dementia subtypes, psychotic symptoms had relatively higher risk estimates than affective or agitation symptoms, with the risk estimates being particularly high in non-Alzheimer's dementia.ConclusionsAmong cognitively normal individuals, the presence of NPS may warrant greater clinical vigilance as precursors to dementia and its subtypes. The findings highlight the need for further research to enrich our understanding on the neurobiological links between various NPS and dementia subtypes. They may also change the clinical approach in managing late-life psychotic symptoms, requiring a greater emphasis on dementia surveillance in the diagnostic criteria of late-life psychotic disorders.

Dataset Information

Multimorbidity and neuroimaging biomarkers among cognitively normal persons.

Objective

Methods

Results

Conclusions

Publications

Multimorbidity and neuroimaging biomarkers among cognitively normal persons.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets