Nutritional Status Is Associated With Clinical Progression in Alzheimer's Disease: The NUDAD Project.

OBJECTIVE: In cognitively normal adults, nutritional parameters are related to cognitive decline and incidence of dementia. Studies on the role of nutrition in predementia stages subjective cognitive decline and mild cognitive impairment, and mild stages of Alzheimer's disease (AD) dementia in a clinical setting are lacking. In the absence of a curative treatment, this evidence is important for targeting nutritional factors to potentially prevent or delay further cognitive decline. Our aim is to investigate associations of nutritional parameters with clinical progression in patients ranging from those who are cognitively normal to those who have AD dementia. DESIGN: Longitudinal. SETTING AND PARTICIPANTS: Memory clinic, 551 patients (219 with subjective cognitive decline, 135 with mild cognitive impairment, and 197 with AD dementia), mean age 64 ± 8 years. MEASUREMENTS: We assessed body mass index, fat-free mass, Mini-Nutritional Assessment, and dietary intake with the Dutch Healthy Diet food frequency questionnaire and the 238-item healthy life in an urban setting (HELIUS) food frequency questionnaire at baseline. Cox proportional hazard models were used to evaluate associations of nutritional parameters with clinical progression. Additional analyses were restricted to patients who were amyloid positive. RESULTS: We observed clinical progression in 170 patients (31%) over 2.2 ± 0.9 years. Poorer Mini-Nutritional Assessment score [hazard ratio (95% confidence interval) 1.39 (1.18-1.64)], lower body mass index [1.15 (0.96-1.38)], lower fat-free mass [1.40 (0.93-2.10)], and a less healthy dietary pattern [1.22 (1.01-1.48)] were associated with a higher risk of clinical progression. Similar effect sizes were found in patients who were amyloid positive. CONCLUSIONS AND IMPLICATIONS: Poorer nutritional status and a less healthy dietary pattern are associated with a higher risk of clinical progression. This study provides support for investigating whether improving nutritional status can alter the clinical trajectory of AD.

Gut Microbiota Composition Is Related to AD Pathology.

Introduction: Several studies have reported alterations in gut microbiota composition of Alzheimer's disease (AD) patients. However, the observed differences are not consistent across studies. We aimed to investigate associations between gut microbiota composition and AD biomarkers using machine learning models in patients with AD dementia, mild cognitive impairment (MCI) and subjective cognitive decline (SCD). Materials and Methods: We included 170 patients from the Amsterdam Dementia Cohort, comprising 33 with AD dementia (66 ± 8 years, 46%F, mini-mental state examination (MMSE) 21[19-24]), 21 with MCI (64 ± 8 years, 43%F, MMSE 27[25-29]) and 116 with SCD (62 ± 8 years, 44%F, MMSE 29[28-30]). Fecal samples were collected and gut microbiome composition was determined using 16S rRNA sequencing. Biomarkers of AD included cerebrospinal fluid (CSF) amyloid-beta 1-42 (amyloid) and phosphorylated tau (p-tau), and MRI visual scores (medial temporal atrophy, global cortical atrophy, white matter hyperintensities). Associations between gut microbiota composition and dichotomized AD biomarkers were assessed with machine learning classification models. The two models with the highest area under the curve (AUC) were selected for logistic regression, to assess associations between the 20 best predicting microbes and the outcome measures from these machine learning models while adjusting for age, sex, BMI, diabetes, medication use, and MMSE. Results: The machine learning prediction for amyloid and p-tau from microbiota composition performed best with AUCs of 0.64 and 0.63. Highest ranked microbes included several short chain fatty acid (SCFA)-producing species. Higher abundance of [Clostridium] leptum and lower abundance of [Eubacterium] ventriosum group spp., Lachnospiraceae spp., Marvinbryantia spp., Monoglobus spp., [Ruminococcus] torques group spp., Roseburia hominis, and Christensenellaceae R-7 spp., was associated with higher odds of amyloid positivity. We found associations between lower abundance of Lachnospiraceae spp., Lachnoclostridium spp., Roseburia hominis and Bilophila wadsworthia and higher odds of positive p-tau status. Conclusions: Gut microbiota composition was associated with amyloid and p-tau status. We extend on recent studies that observed associations between SCFA levels and AD CSF biomarkers by showing that lower abundances of SCFA-producing microbes were associated with higher odds of positive amyloid and p-tau status.

Energy intake and expenditure in patients with Alzheimer's disease and mild cognitive impairment: the NUDAD project.

BACKGROUND: Malnutrition is common in patients with Alzheimer's disease (AD) dementia and mild cognitive impairment (MCI) and is associated with institutionalization and increased mortality. Malnutrition is the result of a negative energy balance, which could be due to reduced dietary intake and/or higher energy expenditure. To study underlying mechanisms for malnutrition, we investigated dietary intake and resting energy expenditure (REE) of patients with AD dementia, MCI, and controls. In addition, we studied associations of global cognition (Mini-Mental State Examination (MMSE)) and AD biomarkers with dietary intake and REE. METHODS: We included 219 participants from the NUDAD project, 71 patients with AD dementia (age 68 ± 8 years, 58% female, MMSE 24 ± 3), 52 with MCI (67 ± 8 years, 42% female, MMSE 26 ± 2), and 96 controls (62 ± 7 years, 52% female, MMSE 28 ± 2). We used a 238-item food frequency questionnaire to assess dietary intake (energy, protein, carbohydrate, and fat). In a subgroup of 92 participants (30 patients with AD dementia, 22 with MCI, and 40 controls) we measured REE with indirect calorimetry. Between-group differences in dietary intake and REE were tested with ANOVAs. In the total sample, linear regression analyses were used to explore potential associations of MMSE score and AD biomarkers with dietary intake and REE. All analyses were adjusted for age, sex, education, and body mass index or fat-free mass. RESULTS: Patients with AD dementia and MCI did not differ from controls in total energy intake (1991 ± 71 and 2172 ± 80 vs 2022 ± 61 kcal/day, p > 0.05) nor in protein, carbohydrate, or fat intake. Patients with AD dementia and MCI had a higher REE than controls (1704 ± 41 and 1754 ± 47 vs 1569 ± 34 kcal/day, p < 0.05). We did not find any association of MMSE score or AD biomarkers with dietary intake or REE. CONCLUSIONS: We found a higher REE, despite similar energy intake in patients with AD and MCI compared to controls. These findings suggest that elevated metabolism rather than reduced energy intake explains malnutrition in AD. These results could be useful to optimize dietary advice for patients with AD dementia and MCI.

A Suboptimal Diet is Associated with Poorer Cognition: The NUDAD Project.

Nutrition is one of the modifiable risk factors for cognitive decline and Alzheimer's disease (AD) dementia, and is therefore highly relevant in the context of prevention. However, knowledge of dietary quality in clinical populations on the spectrum of AD dementia is lacking, therefore we studied the association between dietary quality and cognitive impairment in Alzheimer's disease (AD) dementia, mild cognitive impairment (MCI) and controls. We included 357 participants from the NUDAD project (134 AD dementia, 90 MCI, 133 controls). We assessed adherence to dietary guidelines (components: vegetables, fruit, fibers, fish, saturated fat, trans-fat, salt, and alcohol), and cognitive performance (domains: memory, language, visuospatial functioning, attention, and executive functioning). In the total population, linear regression analyses showed a lower vegetable intake is associated with poorer global cognition, visuospatial functioning, attention and executive functioning. In AD dementia, lower total adherence to dietary guidelines and higher alcohol intake were associated with poorer memory, a lower vegetable intake with poorer global cognition and executive functioning, and a higher trans-fat intake with poorer executive functioning. In conclusion, a suboptimal diet is associated with more severely impaired cognition-this association is mostly attributable to a lower vegetable intake and is most pronounced in AD dementia.

Nutritional status and structural brain changes in Alzheimer's disease: The NUDAD project.

INTRODUCTION: Weight loss is associated with higher mortality and progression of cognitive decline, but its associations with magnetic resonance imaging (MRI) changes related to Alzheimer's disease (AD) are unknown. METHODS: We included 412 patients from the NUDAD project, comprising 129 with AD dementia, 107 with mild cognitive impairment (MCI), and 176 controls. Associations between nutritional status and MRI measures were analyzed using linear regression, adjusted for age, sex, education, cognitive functioning, and cardiovascular risk factors. RESULTS: Lower body mass index (BMI), fat mass (FM), and fat free mass index were associated with higher medial temporal atrophy (MTA) scores. Lower BMI, FM, and waist circumference were associated with more microbleeds. Stratification by diagnosis showed that the observed associations with microbleeds were only significant in MCI. DISCUSSION: Lower indicators of nutritional status were associated with more MTA and microbleeds, with largest effect sizes in MCI.

LDL cholesterol and uridine levels in blood are potential nutritional biomarkers for clinical progression in Alzheimer's disease: The NUDAD project.

INTRODUCTION: We examined associations between nutritional biomarkers and clinical progression in individuals with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and Alzheimer's disease (AD)-type dementia. METHODS: We included 528 individuals (64 ± 8 years, 46% F, follow-up 2.1 ± 0.87 years) with SCD (n = 204), MCI (n = 130), and AD (n = 194). Baseline levels of cholesterol, triglycerides, glucose, homocysteine, folate, vitamin A, B12, E and uridine were measured in blood and S-adenosylmethionine and S-adenosylhomocysteine in cerebrospinal fluid. We determined associations between nutritional biomarkers and clinical progression using Cox proportional hazard models. RESULTS: Twenty-two (11%) patients with SCD, 45 (35%) patients with MCI, and 100 (52%) patients with AD showed clinical progression. In SCD, higher levels of low-density lipoprotein (LDL) cholesterol were associated with progression (hazard ratio [HR] [95% confidence interval (CI)] 1.88 [1.04 to 3.41]). In AD, lower uridine levels were associated with progression (0.79 [0.63 to 0.99]). DISCUSSION: Our findings suggest that LDL cholesterol and uridine play a-stage-dependent-role in the clinical progression of AD.

Energy and Protein Intake of Alzheimer's Disease Patients Compared to Cognitively Normal Controls: Systematic Review.

OBJECTIVES: Protein and energy malnutrition and unintended weight loss are frequently reported in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Possible underlying mechanisms include increased energy expenditure, altered uptake of nutrients, a reduced nutritional intake, or a combination of these 3. We aimed at systematically reviewing the literature to examine potential differences in energy and protein intake in patients with MCI and AD compared to controls as a possible mechanism for unintended weight loss. DESIGN: Systematic review and meta-analysis. SETTING: PubMed and Cochrane Electronic databases were searched from inception to September 2017 for case control studies. PARTICIPANTS: Patients with MCI or AD compared to cognitive healthy controls, all adhering to a Western dietary pattern. MEASUREMENTS: Energy and protein intake. RESULTS: The search resulted in 7 articles on patients with AD versus controls, and none on patients with MCI. Four articles found no differences in energy and protein intakes, 1 found higher intakes in patients with AD, and 1 article found lower intakes in patients with AD compared to controls. One article reported on intakes, but did not test differences. A meta-analysis of the results indicated no difference between patients with AD and controls in energy [-8 kcal/d, 95% confidence interval (CI): -97, 81; P = .85], or protein intake (2 g/d, 95% CI: -4, 9; P = .47). However, heterogeneity was high (I2 > 70%), and study methodology was generally poor or moderate. CONCLUSION: Contrary to frequently reported unintended weight loss, our systematic review does not provide evidence for a lower energy or protein intake in patients with AD compared to controls. High heterogeneity of the results as well as of participant characteristics, setting, and study methods was observed. High-quality studies are needed to study energy and protein intake as a possible mechanism for unintended weight loss and malnutrition in both patients with MCI and AD.

Dietary Patterns Are Related to Clinical Characteristics in Memory Clinic Patients with Subjective Cognitive Decline: The SCIENCe Project.

As nutrition is one of the modifiable risk factors for cognitive decline, we studied the relationship between dietary quality and clinical characteristics in cognitively normal individuals with subjective cognitive decline (SCD). We included 165 SCD subjects (age: 64 ± 8 years; 45% female) from the SCIENCe project, a prospective memory clinic based cohort study on SCD. The Dutch Healthy Diet Food Frequency Questionnaire (DHD-FFQ) was used to assess adherence to Dutch guidelines on vegetable, fruit, fibers, fish, saturated fat, trans fatty acids, salt and alcohol intake (item score 0-10, higher score indicating better adherence). We measured global cognition (Mini Mental State Examination), cognitive complaints (Cognitive Change Index self-report; CCI) and depressive symptoms (Center for Epidemiologic Studies Depression Scale; CES-D). Using principal component analysis, we identified dietary components and investigated their relation to clinical characteristics using linear regression models adjusted for age, sex and education. We identified three dietary patterns: (i) "low-Fat-low-Salt", (ii) "high-Veggy", and (iii) "low-Alcohol-low-Fish". Individuals with lower adherence on "low-Fat-low-Salt" had more depressive symptoms (ß -0.18 (-2.27--0.16)). Higher adherence to "high-Veggy" was associated with higher MMSE scores (ß 0.30 (0.21-0.64)). No associations were found with the low-Alcohol-low-Fish component. We showed that in SCD subjects, dietary quality was related to clinically relevant outcomes. These findings could be useful to identify individuals that might benefit most from nutritional prevention strategies to optimize brain health.

Associations of AD Biomarkers and Cognitive Performance with Nutritional Status: The NUDAD Project.

As malnutrition is common in patients with Alzheimer's disease (AD), we evaluated nutritional status and body composition of patients with AD, mild cognitive impairment (MCI) and controls, and studied associations of AD biomarkers and cognitive performance with nutritional status and body composition. We included 552 participants, of which 198 patients had AD, 135 patients had MCI and 219 controls. We assessed nutritional status (mini nutritional assessment (MNA)) and body composition (body mass index (BMI), fat-free mass (FFM) and waist circumference). Linear regression analyses (adjusted for age, gender and education where appropriate) were applied to test associations of AD biomarkers and cognitive performance on five domains with nutritional parameters (dependent). Patients with MCI and AD had a lower BMI and MNA score than controls. Worse performance in all cognitive domains was associated with lower MNA score, but not with body composition. AD biomarkers were associated with MNA score, BMI and waist circumference, and associations with MNA score remained after adjustment for cognitive performance. Both AD biomarkers and cognitive performance were associated with nutritional status, associations with AD biomarkers remained after adjustment for cognition. Our data suggest that malnutrition is not only related to impaired cognition but also to AD pathology.

At Your Request(®) room service dining improves patient satisfaction, maintains nutritional status, and offers opportunities to improve intake.

BACKGROUND: Malnutrition in hospitals may be combatted by improving the meal service. AIM: To evaluate whether At Your Request(®), a meal service concept by Sodexo with a restaurant style menu card and room service, improved patient satisfaction, nutritional status, and food intake compared to the traditional 3-meals per day service. METHODS: We prospectively collected data in Hospital Gelderse Vallei (Ede, the Netherlands) before (2011/2012; n = 168, age 63 ± 15 y) and after (2013/2014; n = 169, 66 ± 15 y) implementing At Your Request(®). RESULTS: Patient satisfaction increased after implementing At Your Request(®) from 7.5 to 8.1 (scale 1-10) and from 124.5 to 132.9 points on a nutrition-related quality of life questionnaire (p < 0.05). Body weight and handgrip strength did not significantly change in both periods. At admission, more patients in the At Your Request(®) period had risk of malnutrition (MUST ≥ 1; 47 vs 37). MUST scores improved in 18 patients in both periods. With At Your Request(®) 0.92 g protein per kg (g/kg) bodyweight was ordered. Protein intake based on food records from patients on an energy and protein enriched diet was 0.84 g/kg during At Your Request(®) (n = 38) versus 0.91 g/kg during the traditional meal service (n = 34). CONCLUSION: At Your Request(®) is a highly rated hospital menu concept that helps patients to maintain nutritional status. The concept offers options for improving the intake of specific nutrients and foods, which should be evaluated in further studies.