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Anderson RC, Alpass FM. Effectiveness of dairy products to protect against cognitive decline in later life: a narrative review. Front Nutr 2024; 11:1366949. [PMID: 38962439 PMCID: PMC11220571 DOI: 10.3389/fnut.2024.1366949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 06/03/2024] [Indexed: 07/05/2024] Open
Abstract
As the world's population ages the prevalence of age-related health concerns is increasing, including neurodegeneration disorders such as mild cognitive impairment, vascular dementia and Alzheimer's disease. Diet is a key modifiable risk factor for the development of neurodegeneration, likely due to gut-brain axis interactions related to neuroinflammation. Analyses of dietary patterns identified dairy as being part of a cognitively healthy diet; however, its contribution to cognitive outcomes is difficult to discern. This narrative review evaluates the literature to determine whether there is sufficient evidence that the consumption of dairy products helps to maintain cognitive function in later life. A search using the terms (dairy OR milk OR cheese OR yogurt OR yogurt) AND ("mild cognitive impairment" OR dementia OR "Alzheimer's disease") identified 796 articles. After screening and sorting, 23 observational studies and 6 intervention studies were identified. The results of the observational studies implied that the relationship between total dairy consumption and cognitive outcomes is inverse U-shaped, with moderate consumption (1-2 servings per day) being the most beneficial. The analysis of the intake of different types of dairy products indicated that fermented products, particularly cheese, were most likely responsible for the observed benefits. The experimental studies all used dairy-derived peptides produced during fermentation as the dietary intervention, and the results indicated that these could be an effective treatment for early-stage cognitive impairment. Further experimental studies with whole dairy products, particularly fermented dairy, are needed to determine whether the regular consumption of these foods should be recommended to maximize the likelihood of healthy cognitive aging.
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Affiliation(s)
| | - Fiona M. Alpass
- Health and Ageing Research Team, School of Psychology, Massey University, Palmerston North, New Zealand
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2
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Mitchell E, Comerford K, Knight M, McKinney K, Lawson Y. A review of dairy food intake for improving health among black geriatrics in the US. J Natl Med Assoc 2024; 116:274-291. [PMID: 38365561 DOI: 10.1016/j.jnma.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 02/18/2024]
Abstract
The transition to older adulthood is generally marked by progressive declines in body composition, metabolism, cognitive function, and immunity. For socially disadvantaged geriatric populations such as Black Americans, this life stage may also include additional stressors, including dealing with discrimination, poor access to healthcare, and food insecurity. These types of chronic stressors are linked to a higher allostatic load, which is associated with accelerated biological aging, higher rates of adverse health outcomes, and an overall lower quality of life. Of the numerous factors involved in healthy aging, a growing body of research indicates that consuming a higher quality diet that is rich in fruits, vegetables, whole grains, protein foods, and dairy foods, is one of the most potent factors for helping to protect against age-related disease progression. Among the food groups listed above that are recommended by the 2020-2025 Dietary Guidelines for Americans dairy foods are unique in their ability to provide several of the essential nutrients (e.g., high-quality protein, calcium, potassium, vitamin B12, and vitamin D in fortified products) that are most often inadequately consumed by older Black Americans. However, dairy is the most inadequately consumed food group in the US, with older Black adults consuming fewer than half of the 3 daily recommended servings. Therefore, this review examines the current body of evidence exploring the links between dairy intake and age-related disease risk, with a special focus on health and disparities among older Black Americans. Overall, the evidence from most systematic reviews and/or meta-analyses focused on dairy intake and musculoskeletal health suggest that higher dairy intake across the life span, and especially from fermented and fortified products, is associated with better bone and muscle health outcomes in older adults. The evidence on dairy intake and neurocognitive and immune outcomes among older adults holds significant promise for potential benefits, but most of these results are sourced from individual studies or narrative reviews and are not currently corroborated in systematic reviews or meta-analyses. Additionally, most of the research on dairy intake and age-related disease risk has been performed in White populations and can only be extrapolated to Black populations. Nonetheless, older Black populations who do not meet the DGA recommended 3 servings of dairy per day due to lactose intolerance, restrictive dietary patterns, or for other reasons, are likely falling short of several of the nutritional requirements necessary to support healthy aging.
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Affiliation(s)
- Edith Mitchell
- Sidney Kimmel Cancer at Jefferson, Philadelphia, PA, United States
| | - Kevin Comerford
- OMNI Nutrition Science; California Dairy Research Foundation, Davis, CA, United States.
| | - Michael Knight
- The George Washington University School of Medicine and Health Sciences, Washington D.C., United States
| | - Kevin McKinney
- Department of Internal Medicine, Division of Endocrinology, University of Texas Medical Branch, Galveston, TX, United States
| | - Yolanda Lawson
- Baylor University Medical Center, Dallas, TX, United States
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Ortega N, Carmeli C, Efthimiou O, Beer JH, Gunten AV, Preisig M, Zullo L, Vaucher J, Vollenweider P, Marques-Vidal P, Rodondi N, Chiolero A, Chocano-Bedoya PO. Effect of dairy consumption on cognition in older adults: A population-based cohort study. J Nutr Health Aging 2024; 28:100031. [PMID: 38388110 DOI: 10.1016/j.jnha.2023.100031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/08/2023] [Indexed: 02/24/2024]
Abstract
OBJECTIVE We aimed to assess the effect on cognitive function of adding dairy (total, fermented, non-fermented, full fat, low fat, and sugary) to the diet and of substituting some food groups for dairy. DESIGN Secondary analysis of a prospective population-based cohort study. PARTICIPANTS We analyzed data from 1334 cognitively healthy participants (median age 67 years at baseline) with a mean follow-up of 5.6 years from the CoLaus|PsyColaus cohort in Lausanne, Switzerland. MEASUREMENTS The participants completed a food frequency questionnaire at baseline and cognitive tests at baseline and at follow-up. Clinical dementia rating was the primary outcome. Subjective cognitive decline, memory, verbal fluency, executive and motor functions were secondary outcomes. METHODS Our exposure was the consumption of total and 5 sub-types of dairy products (g/d). We used marginal structural models to compute average causal effects of 1) increasing dairy consumption by 100 g/d and 2) substituting 100 g/d of meat, fish, eggs, fruits and vegetables with dairy on the outcomes. We used inverse probability of the treatment and lost to follow-up weighting to account for measured confounding and non-random loss to follow-up. RESULTS Overall, the effects of adding dairy products to the diet on cognition were negligible and imprecise. No substitution had a substantial and consistent effect on clinical dementia rating. The substitution of fish [11.7% (-3% to 26.5%)] and eggs [18% (2.3%-33.7%)] for dairy products could negatively impact verbal memory and neurolinguistic processes. CONCLUSION We found no effect of adding dairy to the diet or substituting meat, vegetables or fruit for dairy on cognitive function in this cohort of older adults. The substitution of fish and eggs for dairy could have a negative effect on some secondary outcomes, but more studies modeling food substitutions are needed to confirm these results.
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Affiliation(s)
- Natalia Ortega
- Institute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
| | - Cristian Carmeli
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
| | - Orestis Efthimiou
- Institute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Jürg-Hans Beer
- University of Zurich and Kantonsspital Baden, Baden, Switzerland
| | - Armin von Gunten
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Leonardo Zullo
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Julien Vaucher
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Department of Medicine and Specialties, Internal Medicine, Fribourg Hospital and University of Fribourg, Fribourg, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nicolas Rodondi
- Institute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital University Hospital Bern, University of Bern, Bern, Switzerland
| | - Arnaud Chiolero
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland; School of Population and Global Health, McGill University, Montreal, Canada
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4
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Villoz F, Filippini T, Ortega N, Kopp-Heim D, Voortman T, Blum MR, Del Giovane C, Vinceti M, Rodondi N, Chocano-Bedoya PO. Dairy Intake and Risk of Cognitive Decline and Dementia: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Adv Nutr 2024; 15:100160. [PMID: 38043604 PMCID: PMC10788406 DOI: 10.1016/j.advnut.2023.100160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 12/05/2023] Open
Abstract
Dairy intake may influence cognition through several molecular pathways. However, epidemiologic studies yield inconsistent results, and no dose-response meta-analysis has been conducted yet. Therefore, we performed a systematic review with a dose-response meta-analysis about the association between dairy intake and cognitive decline or incidence of dementia. We investigated prospective studies with a follow-up ≥6 mo on cognitive decline or dementia incidence in adults without known chronic conditions through a systematic search of Embase, Medline, Cochrane Library, Web of Science, and Google Scholar from inception to 11 July 2023. We evaluated the dose-response association using a random-effects model. We identified 15 eligible cohort studies with >300,000 participants and a median follow-up of 11.4 y. We observed a negative nonlinear association between cognitive decline/dementia incidence and dairy intake as assessed through the quantity of consumption, with the nadir at ∼150 g/d (risk ratio: 0.88; 95% confidence interval: 0.78, 0.99). Conversely, we found an almost linear negative association when we considered the frequency of consumption (risk ratio for linear trend: 0.84; 95% confidence interval: 0.77, 0.92 for 1 time/d increase of dairy products). Stratified analysis by dairy products showed different shapes of the association with linear inverse relationship for milk intake, whereas possibly nonlinear for cheese. The inverse association was limited to Asian populations characterized by generally lower intake of dairy products, compared with the null association reported by European studies. In conclusion, our study suggests a nonlinear inverse association between dairy intake and cognitive decline or dementia, also depending on dairy types and population characteristics, although the heterogeneity was still high in overall and several subgroup analyses. Additional studies should be performed on this topic, including a wider range of intake and types of dairy products, to confirm a potential preventing role of dairy intake on cognitive decline and identify ideal intake doses. This review was registered at PROSPERO as CRD42020192395.
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Affiliation(s)
- Fanny Villoz
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Tommaso Filippini
- Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; School of Public Health, University of California Berkeley, Berkeley, CA, United States
| | - Natalia Ortega
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory, University of Fribourg, Fribourg, Switzerland
| | - Doris Kopp-Heim
- Public Health and Primary Care Library, University Library of Bern, University of Bern, Bern, Switzerland
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Manuel R Blum
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory, University of Fribourg, Fribourg, Switzerland; Department of Medical and Surgical Sciences for Children and Adults, University-Hospital of Modena and Reggio Emilia, Modena, Italy
| | - Marco Vinceti
- Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Patricia O Chocano-Bedoya
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory, University of Fribourg, Fribourg, Switzerland.
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Deng Z, Xie D, Cai J, Jiang J, Pan D, Liao H, Liu X, Xu Y, Li H, Shen Q, Lattanzi S, Xiao S, Tang Y. Different types of milk consumption and the risk of dementia: Analysis from a large-scale cohort study. Clin Nutr 2023; 42:2058-2067. [PMID: 37677911 DOI: 10.1016/j.clnu.2023.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/16/2023] [Accepted: 08/28/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND & AIMS Previous studies have investigated whether milk consumption has a role in preventing the development of cognitive impairment, but the results were inconsistent. Importantly, most of them have disregarded the role of different types of milk. This study aimed to examine the associations between different types of milk consumption and the risk of dementia. METHODS In this large-scale cohort study, participants without cognitive impairment at baseline were included from the UK Biobank. The type of milk mainly used was self-reported at baseline, including full-cream milk, skimmed-milk, soy milk, other milk, and no milk. The primary outcome was all-cause dementia. Secondary outcomes included Alzheimer's disease and vascular dementia. RESULTS Of the 307,271 participants included in the study (mean age 56.3 [SD 8.1] years), 3789 (1.2%) incident all-cause dementia cases were observed over a median follow-up of 12.3 years. After adjustment for potential confounders, only soy milk consumers had a statistically significantly lower risk of all-cause dementia compared with no milk consumers (hazard ratio [HR], 0.69; 95% confidence interval [CI], 0.54 to 0.90). When compared with soy milk non-consumers consisting of full-cream milk, skimmed-milk, and other milk consumers, soy milk consumers still showed a lower risk of all-cause dementia (HR, 0.76; 95% CI, 0.63 to 0.92), and there was no significant interaction with genetic risk for dementia (P for interaction = 0.15). Soy milk consumers showed a lower risk of Alzheimer's disease (HR, 0.70; 95% CI, 0.51 to 0.94; P = 0.02), while the association was not significant for vascular dementia (HR, 0.72; 95% CI, 0.47 to 1.12; P = 0.14). CONCLUSIONS The main consumption of soy milk was associated with a lower risk of dementia, particularly non-vascular dementia. Additional studies are needed to investigate how this association varies with the dose or frequency of the consumption of soy milk and to examine the generalizability of these findings in different populations.
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Affiliation(s)
- Zhenhong Deng
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Dongshu Xie
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jinhua Cai
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jingru Jiang
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Dong Pan
- Department of Neurology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, People's Republic of China
| | - Huanquan Liao
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Xingyi Liu
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Yongteng Xu
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Honghong Li
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Qingyu Shen
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Simona Lattanzi
- Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy
| | - Songhua Xiao
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
| | - Yamei Tang
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, People's Republic of China.
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6
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Li T, Willette AA, Wang Q, Pollpeter A, Larsen BA, Mohammadiarvejeh P, Fili M. Alzheimer's Disease Genetic Influences Impact the Associations between Diet and Resting-State Functional Connectivity: A Study from the UK Biobank. Nutrients 2023; 15:3390. [PMID: 37571327 PMCID: PMC10420831 DOI: 10.3390/nu15153390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Red wine and dairy products have been staples in human diets for a long period. However, the impact of red wine and dairy intake on brain network activity remains ambiguous and requires further investigation. METHODS This study investigated the associations between dairy and red wine consumption and seven neural networks' connectivity with functional magnetic resonance imaging (fMRI) data from a sub-cohort of the UK Biobank database. Linear mixed models were employed to regress dairy and red wine consumption against the intrinsic functional connectivity for each neural network. Interactions with Alzheimer's disease (AD) risk factors, including apolipoprotein E4 (APOE4) genotype, TOMM40 genotype, and family history of AD, were also assessed. RESULT More red wine consumption was associated with enhanced connectivity in the central executive function network and posterior default mode network. Greater milk intake was correlated with more left executive function network connectivity, while higher cheese consumption was linked to reduced posterior default mode network connectivity. For participants without a family history of Alzheimer's disease (AD), increased red wine consumption was positively correlated with enhanced left executive function network connectivity. In contrast, participants with a family history of AD displayed diminished network connectivity in relation to their red wine consumption. The association between cheese consumption and neural network connectivity was influenced by APOE4 status, TOMM40 status, and family history, exhibiting contrasting patterns across different subgroups. CONCLUSION The findings of this study indicate that family history modifies the relationship between red wine consumption and network strength. The interaction effects between cheese intake and network connectivity may vary depending on the presence of different genetic factors.
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Affiliation(s)
- Tianqi Li
- Genetics and Genomics Interdepartmental Graduate Program, Iowa State University, 1109 HNSB, 2302 Osborn Drive Ames, Ames, IA 50011, USA
| | - Auriel A. Willette
- Department of Neurology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA;
| | - Qian Wang
- Department of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, Ames, IA 50011, USA;
| | - Amy Pollpeter
- Bioinformatics and Computational Biology Graduate Program, Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA;
| | - Brittany A. Larsen
- Neuroscience Graduate Program, Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA;
| | - Parvin Mohammadiarvejeh
- Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, Ames, IA 50011, USA; (P.M.); (M.F.)
| | - Mohammad Fili
- Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, Ames, IA 50011, USA; (P.M.); (M.F.)
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Cansino S, Torres-Trejo F, Estrada-Manilla C, Flores-Mendoza A, Ramírez-Pérez G, Ruiz-Velasco S. Nutrient effects on working memory across the adult lifespan. Nutr Neurosci 2023; 26:456-469. [PMID: 35343878 DOI: 10.1080/1028415x.2022.2055378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To identify the nutrients that influence the performance of working memory, which is greatly affected as age progresses. METHOD A total of 1646 healthy adults between 21 and 80 years old participated in the study. The daily consumption of 64 nutrients was examined using a food frequency questionnaire that assessed food intake during the previous year. Working memory was measured in the verbal and spatial domains using a computerized task. We examined which nutrients influence working memory across the entire adult lifespan and whether the influence of any of these nutrients on working memory is moderated by individuals' ages. RESULTS Working memory, across the entire adult lifespan, benefits from the intake of cholesterol, alcohol, gamma- and delta-tocopherol, vitamin B6, and palmitoleic, oleic, alpha linoleic and linoleic acids. Moderator analyses revealed that fats, energy, lactose and sodium negatively influenced working memory in middle-aged and older adults, whereas vitamin D and vitamin C had positive effects on memory beyond 70 years of age. CONCLUSION Nutrients have the ability to positively or negatively affect working memory, which varies as a function of age.
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Affiliation(s)
- Selene Cansino
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Frine Torres-Trejo
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Cinthya Estrada-Manilla
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Adriana Flores-Mendoza
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Gerardo Ramírez-Pérez
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Silvia Ruiz-Velasco
- Applied Mathematics and Systems Research Institute, National Autonomous University of Mexico, Mexico City, Mexico
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8
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Ikeuchi T, Kanda M, Kitamura H, Morikawa F, Toru S, Nishimura C, Kasuga K, Tokutake T, Takahashi T, Kuroha Y, Miyazawa N, Tanaka S, Utsumi K, Ono K, Yano S, Hamano T, Naruse S, Yajima R, Kawashima N, Kaneko C, Tachibana H, Yano Y, Kato Y, Toue S, Jinzu H, Kitamura A, Yokoyama Y, Kaneko E, Yamakado M, Nagao K. Decreased circulating branched-chain amino acids are associated with development of Alzheimer's disease in elderly individuals with mild cognitive impairment. Front Nutr 2022; 9:1040476. [PMID: 36590218 PMCID: PMC9794986 DOI: 10.3389/fnut.2022.1040476] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/24/2022] [Indexed: 12/15/2022] Open
Abstract
Background Nutritional epidemiology has shown that inadequate dietary protein intake is associated with poor brain function in the elderly population. The plasma free amino acid (PFAA) profile reflects nutritional status and may have the potential to predict future changes in cognitive function. Here, we report the results of a 2-year interim analysis of a 3-year longitudinal study following mild cognitive impairment (MCI) participants. Method In a multicenter prospective cohort design, MCI participants were recruited, and fasting plasma samples were collected. Based on clinical assessment of cognitive function up to 2 years after blood collection, MCI participants were divided into two groups: remained with MCI or reverted to cognitively normal ("MCI-stable," N = 87) and converted to Alzheimer's disease (AD) ("AD-convert," N = 68). The baseline PFAA profile was compared between the two groups. Stratified analysis based on apolipoprotein E ε4 (APOE ε4) allele possession was also conducted. Results Plasma concentrations of all nine essential amino acids (EAAs) were lower in the AD-convert group. Among EAAs, three branched-chain amino acids (BCAAs), valine, leucine and isoleucine, and histidine (His) exhibited significant differences even in the logistic regression model adjusted for potential confounding factors such as age, sex, body mass index (BMI), and APOE ε4 possession (p < 0.05). In the stratified analysis, differences in plasma concentrations of these four EAAs were more pronounced in the APOE ε4-negative group. Conclusion The PFAA profile, especially decreases in BCAAs and His, is associated with development of AD in MCI participants, and the difference was larger in the APOE ε4-negative population, suggesting that the PFAA profile is an independent risk indicator for AD development. Measuring the PFAA profile may have importance in assessing the risk of AD conversion in the MCI population, possibly reflecting nutritional status. Clinical trial registration [https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000025322], identifier [UMIN000021965].
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Affiliation(s)
- Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan,Takeshi Ikeuchi,
| | - Mayuka Kanda
- Research Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc., Kawasaki, Japan
| | - Hitomi Kitamura
- Research Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc., Kawasaki, Japan
| | - Fumiyoshi Morikawa
- Department of Psychiatry, Asahikawa Keisenkai Hospital, Asahikawa, Japan
| | - Shuta Toru
- Department of Neurology, Nitobe Memorial Nakano General Hospital, Tokyo, Japan
| | | | - Kensaku Kasuga
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takayoshi Tokutake
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan,Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | | | - Yasuko Kuroha
- Department of Neurology, Nishiniigata Chuo Hospital, Niigata, Japan
| | - Nobuhiko Miyazawa
- Department of Neurosurgery, Kofu Neurosurgical Hospital, Kofu, Japan
| | | | - Kumiko Utsumi
- Department of Psychiatry, Sunagawa City Medical Center, Sunagawa, Japan
| | - Kenjiro Ono
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Satoshi Yano
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Tadanori Hamano
- Faculty of Medical Sciences, Second Department of Internal Medicine, University of Fukui, Fukui, Japan
| | - Satoshi Naruse
- Department of Neurology, Midori Hospital, Niigata, Japan
| | - Ryuji Yajima
- Department of Neurology, Midori Hospital, Niigata, Japan
| | | | | | | | - Yuki Yano
- Research Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc., Kawasaki, Japan
| | - Yumiko Kato
- Research Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc., Kawasaki, Japan
| | - Sakino Toue
- Research Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc., Kawasaki, Japan
| | - Hiroko Jinzu
- Institute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan
| | - Akihiko Kitamura
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Yuri Yokoyama
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Eiji Kaneko
- Institute of Education, Tokyo Medical and Dental University, Tokyo, Japan
| | | | - Kenji Nagao
- Research Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc., Kawasaki, Japan,*Correspondence: Kenji Nagao,
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9
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Dalile B, Kim C, Challinor A, Geurts L, Gibney ER, Galdos MV, La Fata G, Layé S, Mathers JC, Vauzour D, Verkuyl JM, Thuret S. The EAT-Lancet reference diet and cognitive function across the life course. Lancet Planet Health 2022; 6:e749-e759. [PMID: 36087605 DOI: 10.1016/s2542-5196(22)00123-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 05/02/2022] [Accepted: 05/13/2022] [Indexed: 06/15/2023]
Abstract
The EAT-Lancet Commission devised a sustainable reference diet with the aim of reducing the incidence of non-communicable diseases and mortality globally while improving food system sustainability. The extent to which the reference diet supports cognitive function across the life course, however, has not yet been evaluated. This Review assesses the evidence for diet supporting cognitive function from childhood into old age. A comprehensive but non-exhaustive literature search was done, synthesising studies that investigated the effect of whole foods on cognition in healthy, community-dwelling human participants. We found that the current evidence base is weak with mixed conclusions and multiple methodological caveats, which precludes strong conclusions pertaining to the suitability of dietary recommendations for each food group per age group. Long-term intervention and prospective cohort studies are needed to reduce this knowledge deficit. Revising dietary recommendations with the aim of maintaining an adequate nutrient intake to sustain healthy cognitive function across the life course could be worthwhile. This Review outlines recommendations for future work to help improve the current knowledge deficit regarding dietary intake and cognitive function across the life course and its implications for dietary guidelines such as the EAT-Lancet Commission.
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Affiliation(s)
- Boushra Dalile
- Translational Research Center for Gastrointestinal Disorders, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Curie Kim
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andy Challinor
- Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
| | - Lucie Geurts
- International Life Sciences Institute European Branch, Brussels, Belgium
| | - Eileen R Gibney
- Institute of Food Health, School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Marcelo V Galdos
- Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
| | - Giorgio La Fata
- Health Nutrition and Care Innovation, Global Research and Development Center, DSM Nutritional Products, Kaiseraugst, Switzerland
| | - Sophie Layé
- Nutrition et Neurobiologie Intégrée, INRA Bordeaux University, Bordeaux, France
| | - John C Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - David Vauzour
- Norwich Medical School, Biomedical Research Centre, University of East Anglia, Norwich, UK
| | - J Martin Verkuyl
- Danone Nutricia Research, Nutricia Advanced Medical Nutrition, Utrecht, Netherlands
| | - Sandrine Thuret
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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10
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Ni J, Nishi SK, Babio N, Martínez-González MA, Corella D, Castañer O, Martínez JA, Alonso-Gómez ÁM, Gómez-Gracia E, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Martín-Sánchez V, Pintó X, Gaforio JJ, Barabash Bustelo A, Vidal J, Vázquez C, Daimiel L, Ros E, Toledo E, Coltell O, Gómez-Martínez C, Zomeño MD, Donat-Vargas C, Goicolea-Güemez L, Bouzas C, Garcia-de-la-Hera M, Chaplin A, Garcia-Rios A, Casas R, Cornejo-Pareja I, Santos-Lozano JM, Rognoni T, Saiz C, Paz-Ganiel I, Malcampo M, Sánchez-Villegas A, Salaverria-Lete I, García-Arellano A, Schröder H, Salas-Salvadó J. Dairy Product Consumption and Changes in Cognitive Performance: Two-Year Analysis of the PREDIMED-Plus Cohort. Mol Nutr Food Res 2022; 66:e2101058. [PMID: 35524484 PMCID: PMC9541289 DOI: 10.1002/mnfr.202101058] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/22/2022] [Indexed: 11/06/2022]
Abstract
SCOPE Dairy consumption has been suggested to impact cognition; however, evidence is limited and inconsistent. This study aims to longitudinally assess the association between dairy consumption with cognitive changes in an older Spanish population at high cardiovascular disease risk. METHODS AND RESULTS Four thousand six hundred sixty eight participants aged 55-75 years, completed a validated food frequency questionnaire at baseline and a neuropsychological battery of tests at baseline and 2-year follow-up. Multivariable linear regression models are used, scaled by 100 (i.e., the units of β correspond to 1 SD/100), to assess associations between baseline tertile daily consumption and 2-year changes in cognitive performance. Participants in the highest tertile of total milk and whole-fat milk consumption have a greater decline in global cognitive function (β: -4.71, 95% CI: -8.74 to -0.69, p-trend = 0.020 and β: -6.64, 95% CI: -10.81 to -2.47, p-trend = 0.002, respectively) compared to those in the lowest tertile. No associations are observed between low fat milk, yogurt, cheese or fermented dairy consumption, and changes in cognitive performance. CONCLUSION Results suggest there are no clear prospective associations between consumption of most commonly consumed dairy products and cognition, although there may be an association with a greater rate of cognitive decline over a 2-year period in older adults at high cardiovascular disease risk for whole-fat milk.
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Affiliation(s)
- Jiaqi Ni
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut. Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut. Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, ON, Canada
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut. Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel A Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Epidemiology, School of Medicine, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Unidad de Epidemiología de la Nutrición, Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante, (UMH-ISABIAL), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain.,Universitat de Barcelona, Barcelona, Spain
| | - José J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Ana Barabash Bustelo
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain.,CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Medicina II Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Oscar Coltell
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Computer Languages and Systems, Universitat Jaume I, Castellon, Spain
| | - Carlos Gómez-Martínez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut. Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - María Dolores Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain.,School of Health Sciences, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Carolina Donat-Vargas
- IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.,Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz, CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain.,Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Leire Goicolea-Güemez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Cristina Bouzas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Manoli Garcia-de-la-Hera
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Unidad de Epidemiología de la Nutrición, Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante, (UMH-ISABIAL), Alicante, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Isabel Cornejo-Pareja
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Teresa Rognoni
- Department of Neurology, Clínica Universidad de Navarra, Madrid, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Indira Paz-Ganiel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut. Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Mireia Malcampo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Almudena Sánchez-Villegas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain.,ISFOOD-Institute for Innovation & Sustainable Development in Food Chain, Universidad Pública de Navarra (UPNA), IdiSNA, Instituto de Investigación Sanitaria de Navarra, Spain
| | - Itziar Salaverria-Lete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana García-Arellano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain.,Emergency Department, Hospital Universitario de Navarra, Servicio Navarro de Salud-Osaunbidea, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut. Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
| | -
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut. Unitat de Nutrició Humana, Reus, Spain
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11
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Metabolic Syndrome, Cognitive Impairment and the Role of Diet: A Narrative Review. Nutrients 2022; 14:nu14020333. [PMID: 35057514 PMCID: PMC8780484 DOI: 10.3390/nu14020333] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/04/2022] [Accepted: 01/10/2022] [Indexed: 01/27/2023] Open
Abstract
Background: This narrative review presents the association between metabolic syndrome (MetS), along with its components, and cognition-related disorders, as well as the potential reversal role of diet against cognitive impairment by modulating MetS. Methods: An electronic research in Medline (Pubmed) and Scopus was conducted. Results: MetS and cognitive decline share common cardiometabolic pathways as MetS components can trigger cognitive impairment. On the other side, the risk factors for both MetS and cognitive impairment can be reduced by optimizing the nutritional intake. Clinical manifestations such as dyslipidemia, hypertension, diabetes and increased central body adiposity are nutrition-related risk factors present during the prodromal period before cognitive impairment. The Mediterranean dietary pattern stands among the most discussed predominantly plant-based diets in relation to cardiometabolic disorders that may prevent dementia, Alzheimer’s disease and other cognition-related disorders. In addition, accumulating evidence suggests that the consumption of specific dietary food groups as a part of the overall diet can improve cognitive outcomes, maybe due to their involvement in cardiometabolic paths. Conclusions: Early MetS detection may be helpful to prevent or delay cognitive decline. Moreover, this review highlights the importance of healthy nutritional habits to reverse such conditions and the urgency of early lifestyle interventions.
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12
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Cansino S, Torres-Trejo F, Estrada-Manilla C, Flores-Mendoza A, Ramírez-Pérez G, Ruiz-Velasco S. Influence of Dietary Nutrient Intake on Episodic Memory Across the Adult Life Span. Front Aging Neurosci 2021; 13:724595. [PMID: 34526891 PMCID: PMC8435902 DOI: 10.3389/fnagi.2021.724595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 08/10/2021] [Indexed: 12/12/2022] Open
Abstract
The aim of the study was to identify nutrients that have the ability to impact brain functioning and, as a consequence, influence episodic memory. In particular, we examined recollection, the ability to recall details of previous experiences, which is the episodic memory process most affected as age advances. A sample of 1,550 healthy participants between 21 and 80 years old participated in the study. Nutritional intake was examined through a food frequency questionnaire and software developed to determine the daily consumption of 64 nutrients based on food intake during the last year. Recollection was measured through a computerized source memory paradigm. First, we identified which nutrients influence recollection across the entire adult life span. Then, moderator analyses were conducted by dividing the sample into young (21–40 years old), middle-aged (41–60 years old) and older (61–80 years old) adults to establish in which life stage nutrients influence episodic memory. Across the adult life span, recollection accuracy was shown to benefit from the intake of sodium, heme, vitamin E, niacin, vitamin B6, cholesterol, alcohol, fat, protein, and palmitic, stearic, palmitoleic, oleic, gadoleic, alpha-linoleic and linoleic acid. The effects of energy, maltose, lactose, calcium and several saturated fatty acids on recollection were modulated by age; in older adults, the consumption of these nutrients negatively influenced episodic memory performance, and in middle-aged adults, only lactose had negative effects. Several brain mechanisms that support episodic memory were influenced by specific nutrients, demonstrating the ability of food to enhance or deteriorate episodic memory.
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Affiliation(s)
- Selene Cansino
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Frine Torres-Trejo
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Cinthya Estrada-Manilla
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Adriana Flores-Mendoza
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Gerardo Ramírez-Pérez
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Silvia Ruiz-Velasco
- Applied Mathematics and Systems Research Institute, National Autonomous University of Mexico, Mexico City, Mexico
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13
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Tessier AJ, Presse N, Rahme E, Ferland G, Bherer L, Chevalier S. Milk, yogurt and cheese intake is positively associated with cognitive executive functions in older adults of the Canadian Longitudinal Study on Aging. J Gerontol A Biol Sci Med Sci 2021; 76:2223-2231. [PMID: 34115853 DOI: 10.1093/gerona/glab165] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Dairy products provide essential nutrients such as calcium, vitamins B12 and D, and include bioactive peptides and fermented products, which may be beneficial for cognition, especially in older adults. Yet, few studies of large contemporary cohorts have investigated this relationship using sensitive domain-specific cognitive tests. METHODS In community-dwelling older adults of the Canadian Longitudinal Study on Aging (2011-2015), we examined cross-sectional associations between total and specific dairy product intake and performance in three cognitive domains (executive functions, memory, psychomotor speed). Cheese, milk, yogurt, regular-fat, low-fat and fermented dairy product intake frequencies were estimated using a food frequency questionnaire; participants were classified into quartiles. MANCOVA models were applied to estimate differences. RESULTS In 7,945 participants (65-86 y, 49% women, 97% Caucasian), the mean dairy product intake was 1.9 (1.1) times/d. Total dairy product, cheese and low-fat dairy product intake were positively associated with the executive function domain and yogurt intake with the memory domain (all p<0.05), independently of important covariates including age, gender, education and diet quality. Intakes of total dairy product, cheese and low-fat dairy were associated with verbal fluency specifically (all p<0.05). Participants with a dairy product intake > 2.5 times/d had a higher score compared to those consuming less. No associations were found with psychomotor speed. CONCLUSIONS This large cohort study suggests a specific role for dairy components in executive function phonemic verbal fluency and memory. Dairy product intake, a modifiable factor, may be targeted in cognitive health-promoting interventions.
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Affiliation(s)
- Anne-Julie Tessier
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, H9X 3L9, QC, Canada.,Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, H4A 3J1, QC, Canada
| | - Nancy Presse
- Faculté de médecine et des sciences de la santé, Université de Sherbrooke, 3001 12 Ave N Immeuble X1, Sherbrooke, J1H 5N4, QC, Canada.,Centre de recherche sur le vieillissement, CIUSSS-de-l'Estrie-CHUS, 300 Rue King E, Sherbrooke, J1G 1B1, QC, Canada.,Centre de recherche de l'Institut universitaire de gériatrie de Montréal, CIUSSS-du-Centre-sud-de-l'Île-de-Montréal, 4565 Queen Mary Rd, Montreal, H3W 1W5, QC, Canada
| | - Elham Rahme
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, 5252 de Maisonneuve Blvd, Montréal, H4A 3S5, QC, Canada.,Department of Medicine, McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, QC, Canada
| | - Guylaine Ferland
- Département de Nutrition, Université de Montréal, 2405 chemin de la Côte-Sainte-Catherine Montréal, H3T 1A8, QC, Canada.,Research Centre, Montreal Heart Institute, 5000 Rue Bélanger, Montréal, H1T 1C8, QC, Canada
| | - Louis Bherer
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, CIUSSS-du-Centre-sud-de-l'Île-de-Montréal, 4565 Queen Mary Rd, Montreal, H3W 1W5, QC, Canada.,Research Centre, Montreal Heart Institute, 5000 Rue Bélanger, Montréal, H1T 1C8, QC, Canada.,Département de Médecine, Faculté de Médecine, Université de Montréal, 2900 boulevard Édouard-Montpetit, Montréal, H3T 1J4, QC, Canada
| | - Stéphanie Chevalier
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, H9X 3L9, QC, Canada.,Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, H4A 3J1, QC, Canada.,Department of Medicine, McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, QC, Canada
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14
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Hepsomali P, Groeger JA. Diet and general cognitive ability in the UK Biobank dataset. Sci Rep 2021; 11:11786. [PMID: 34083695 PMCID: PMC8175590 DOI: 10.1038/s41598-021-91259-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 05/25/2021] [Indexed: 12/03/2022] Open
Abstract
Accumulating evidence suggests that dietary interventions might have potential to be used as a strategy to protect against age-related cognitive decline and neurodegeneration, as there are associations between some nutrients, food groups, dietary patterns, and some domains of cognition. In this study, we aimed to conduct the largest investigation of diet and cognition to date, through systematically examining the UK Biobank (UKB) data to find out whether dietary quality and food groups play a role on general cognitive ability. This cross-sectional population-based study involved 48,749 participants. UKB data on food frequency questionnaire and cognitive function were used. Also, healthy diet, partial fibre intake, and milk intake scores were calculated. Adjusted models included age, sex, and BMI. We observed associations between better general cognitive ability and higher intakes of fish, and unprocessed red meat; and moderate intakes of fibre, and milk. Surprisingly, we found that diet quality, vegetable intake, high and low fibre and milk intake were inversely associated with general cognitive ability. Our results suggest that fish and unprocessed red meat and/or nutrients that are found in fish and unprocessed red meat might be beneficial for general cognitive ability. However, results should be interpreted in caution as the same food groups may affect other domains of cognition or mental health differently. These discrepancies in the current state of evidence invites further research to examine domain-specific effects of dietary patterns/food groups on a wide range of cognitive and affective outcomes with a special focus on potential covariates that may have an impact on diet and cognition relationship.
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Affiliation(s)
- Piril Hepsomali
- Department of Psychology, University of Roehampton, London, UK.
- Unilever R&D, Colworth Science Park, Bedford, UK.
| | - John A Groeger
- Department of Psychology, Nottingham Trent University, School of Social Sciences, Nottingham, UK
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15
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Melnik BC. Lifetime Impact of Cow's Milk on Overactivation of mTORC1: From Fetal to Childhood Overgrowth, Acne, Diabetes, Cancers, and Neurodegeneration. Biomolecules 2021; 11:404. [PMID: 33803410 PMCID: PMC8000710 DOI: 10.3390/biom11030404] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 03/04/2021] [Accepted: 03/04/2021] [Indexed: 02/07/2023] Open
Abstract
The consumption of cow's milk is a part of the basic nutritional habits of Western industrialized countries. Recent epidemiological studies associate the intake of cow's milk with an increased risk of diseases, which are associated with overactivated mechanistic target of rapamycin complex 1 (mTORC1) signaling. This review presents current epidemiological and translational evidence linking milk consumption to the regulation of mTORC1, the master-switch for eukaryotic cell growth. Epidemiological studies confirm a correlation between cow's milk consumption and birthweight, body mass index, onset of menarche, linear growth during childhood, acne vulgaris, type 2 diabetes mellitus, prostate cancer, breast cancer, hepatocellular carcinoma, diffuse large B-cell lymphoma, neurodegenerative diseases, and all-cause mortality. Thus, long-term persistent consumption of cow's milk increases the risk of mTORC1-driven diseases of civilization. Milk is a highly conserved, lactation genome-controlled signaling system that functions as a maternal-neonatal relay for optimized species-specific activation of mTORC1, the nexus for regulation of eukaryotic cell growth, and control of autophagy. A deeper understanding of milk´s impact on mTORC1 signaling is of critical importance for the prevention of common diseases of civilization.
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Affiliation(s)
- Bodo C Melnik
- Department of Dermatology, Environmental Medicine and Health Theory, University of Osnabrück, Am Finkenhügel 7a, D-49076 Osnabrück, Germany
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16
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Muñoz-Garach A, Cornejo-Pareja I, Martínez-González MÁ, Bulló M, Corella D, Castañer O, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Bernal-López MR, Lapetra J, Pintó X, Tur JA, López-Miranda J, Bueno-Cavanillas A, Delgado-Rodríguez M, Matía-Martín P, Daimiel L, Sánchez VM, Vidal J, Prieto L, Ros E, Fernández-Aranda F, Camacho-Barcia L, Ortega-Azorin C, Soria M, Fiol M, Compañ-Gabucio L, Goicolea-Güemez L, Pérez-López J, Goñi N, Pérez-Cabrera J, Sacanella E, Fernández-García JC, Miró-Moriano L, Gimenez-Gracia M, Razquin C, Paz-Graniel I, Guillem P, Zomeño MD, Moñino M, Oncina-Canovas A, Salaverria-Lete I, Toledo E, Salas-Salvadó J, Schröder H, Tinahones FJ. Milk and Dairy Products Intake Is Related to Cognitive Impairment at Baseline in Predimed Plus Trial. Mol Nutr Food Res 2021; 65:e2000728. [PMID: 33471961 DOI: 10.1002/mnfr.202000728] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 12/30/2020] [Indexed: 11/06/2022]
Abstract
SCOPE To examine the association between milk and dairy products intake and the prevalence of cognitive decline among Spanish individuals at high cardiovascular risk. METHODS AND RESULTS Cross-sectional analyses are performed on baseline data from 6744 adults (aged 55-75 years old). Intake of milk and dairy products is estimated using a food frequency questionnaire grouped into quartiles. The risk of developing cognitive impairment is based on the Mini-Mental State Examination (MMSE). A higher prevalence of cognitive decline was found in subjects who consumed more grams. Patients with worse MMSE score (10-24) consumed a mean of 395.14 ± 12.21 g, while patients with better MMSE score (27-30) consumed a mean of 341.23 ± 2.73 g (p < 0.05). Those subjects with the lower milk consumption (<220 g/day) had a higher MMSE score (28.35 ± 0.045). Higher intake of fermented dairy products was observed in participants with a lower MMSE score (OR 1.340, p = 0.003). A positive correlation was found between the consumption of whole milk and the MMSE score (r = 0.066, p < 0.001). CONCLUSIONS These findings suggest that greater consumption of milk and dairy products could be associated with greater cognitive decline according to MMSE. Conversely, consumption of whole-fat milk could be linked with less cognitive impairment in the cross-sectional study.
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Affiliation(s)
- Araceli Muñoz-Garach
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga University. Instituto de Investigación Biomédica de Málaga (IBIMA), Avda. Teatinos s/n., Málaga, 29010, Spain
| | - Isabel Cornejo-Pareja
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga University. Instituto de Investigación Biomédica de Málaga (IBIMA), Avda. Teatinos s/n., Málaga, 29010, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA. C/ Irunlarrea, 1, Pamplona, Navarra, 31008, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health. 665 Huntington Avenue Boston, Massachusetts, 02115, USA
| | - Monica Bulló
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició. Universitat Rovira i Virgili, Campus Sescelades. C/ Marcel·lí Domingo, 1., Reus, Tarragona, 43007, Spain.,Nutrition Unit. University Hospital of Sant Joan de Reus., Avinguda del Doctor Josep Laporte, 2, Reus, Tarragona, 43204, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV)., Carrer Dr. Mallafré Guasch, 4., Reus, Tarragona, 43007, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Preventive Medicine, University of Valencia., Av. de Blasco Ibáñez, 13., Valencia, 46010, Spain
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM)., Carrer del Dr. Aiguader, 88., Barcelona, 08003, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Health Research Institute of the Balearic Islands (IdISBa). Edificio S, Hospital Universitario Son Espases, Carretera de Valldemossa, 79., Palma, Balearic Islands, 07120, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Miguel Hernandez University, ISABIAL-FISABIO, Avda Pintor Baeza, 12 HGUA. Centro de Diagnóstico., Planta 5ª., Alicante, 03010, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, C/ Jose Atxotegi Kalea, s/n., Araba Vitoria-Gasteiz, 01009, Spain.,University of the Basque Country UPV/EHU, C/ Nieves Cano Kalea, 12., Araba Vitoria-Gasteiz, 01006, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Nursing, School of Health Sciences, University of Málaga-Institute of Biomedical Research in Malaga (IBIMA), Calle Severo Ochoa, 63., Málaga, 29590, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, C/ Irunlarrea 1., Pamplona, Navarra, 31008, Spain.,Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Crta. de, Carr. de Canto Blanco, 8., Madrid, 28049, Spain
| | - Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Nutrition Research Group, Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS)., Paseo Blas Cabrera Felipe "Físico" (s/n)., 35016 - Las Palmas de Gran Canaria Islas Canarias, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Carrer del Rosselló, 149., Barcelona, 08036, Spain
| | - M Rosa Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Malaga (IBIMA), Plaza del Hospital Civil, s/n., Malaga, 29009, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Edificio Isla, Av. de Ramón y Cajal, 9., Sevilla, 41005, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat., Universidad de Barcelona, Carrer de la Feixa Llarga, s/n., 08907 L'Hospitalet de Llobregat, Barcelona, Spain.,Medicine Department. Universidad de Barcelona, Calle Gran Via de les Corts Catalanes, 585., Barcelona, 08007, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Carretera de Valldemossa, km 7.5., Palma de Mallorca, 07122, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Av. Menendez Pidal, s/n., Cordoba, 14004, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Av. del Hospicio, 1., Granada, 18010, Spain
| | - Miguel Delgado-Rodríguez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Campus Las Lagunillas, s/n., Jaén, 23071, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Calle del Prof Martín Lagos, s/n., Madrid, 28040, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Crta. de, Carr. de Canto Blanco, 8., Madrid, 28049, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Institute of Biomedicine (IBIOMED), University of León, Campus Universitario de Vegazana s/n., León, 24071, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Carrer del Rosselló, 149., Barcelona, 08036, Spain
| | - Lucia Prieto
- Department of Endocrinology, Fundación Jiménez-Díaz, Av. de los Reyes Católicos, 2., Madrid, 28040, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Carrer del Rosselló, 149., Barcelona, 08036, Spain
| | - Fernando Fernández-Aranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Psychiatry, University Hospital of Bellvitge-IDIBELL and Department of Clinical Sciences, School of Medicine and Health Sciences., University of Barcelona, Campus de Bellvitge, Feixa Llarga, s/n., 08907 L'Hospitalet de Llobregat Barcelona, Spain
| | - Lucía Camacho-Barcia
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició. Universitat Rovira i Virgili, Campus Sescelades. C/ Marcel·lí Domingo, 1., Reus, Tarragona, 43007, Spain.,Nutrition Unit. University Hospital of Sant Joan de Reus., Avinguda del Doctor Josep Laporte, 2, Reus, Tarragona, 43204, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV)., Carrer Dr. Mallafré Guasch, 4., Reus, Tarragona, 43007, Spain
| | - Carolina Ortega-Azorin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Preventive Medicine, University of Valencia., Av. de Blasco Ibáñez, 13., Valencia, 46010, Spain
| | - María Soria
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM)., Carrer del Dr. Aiguader, 88., Barcelona, 08003, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Health Research Institute of the Balearic Islands (IdISBa). Edificio S, Hospital Universitario Son Espases, Carretera de Valldemossa, 79., Palma, Balearic Islands, 07120, Spain
| | - Laura Compañ-Gabucio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Miguel Hernandez University, ISABIAL-FISABIO, Avda Pintor Baeza, 12 HGUA. Centro de Diagnóstico., Planta 5ª., Alicante, 03010, Spain
| | - Leire Goicolea-Güemez
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, C/ Jose Atxotegi Kalea, s/n., Araba Vitoria-Gasteiz, 01009, Spain
| | - Jessica Pérez-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Nursing, School of Health Sciences, University of Málaga-Institute of Biomedical Research in Malaga (IBIMA), Calle Severo Ochoa, 63., Málaga, 29590, Spain
| | - Nuria Goñi
- Navarro Health Service., Primary Care Pamplona, Plaza de la Paz s/n., Navarra, 31002, Spain
| | - Judith Pérez-Cabrera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Nutrition Research Group, Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS)., Paseo Blas Cabrera Felipe "Físico" (s/n)., 35016 - Las Palmas de Gran Canaria Islas Canarias, Spain
| | - E Sacanella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Carrer del Rosselló, 149., Barcelona, 08036, Spain
| | - Jose Carlos Fernández-García
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga University. Instituto de Investigación Biomédica de Málaga (IBIMA), Avda. Teatinos s/n., Málaga, 29010, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain
| | - Leticia Miró-Moriano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Edificio Isla, Av. de Ramón y Cajal, 9., Sevilla, 41005, Spain
| | - M Gimenez-Gracia
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Edificio Isla, Av. de Ramón y Cajal, 9., Sevilla, 41005, Spain
| | - C Razquin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA. C/ Irunlarrea, 1, Pamplona, Navarra, 31008, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health. 665 Huntington Avenue Boston, Massachusetts, 02115, USA
| | - Indira Paz-Graniel
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició. Universitat Rovira i Virgili, Campus Sescelades. C/ Marcel·lí Domingo, 1., Reus, Tarragona, 43007, Spain.,Nutrition Unit. University Hospital of Sant Joan de Reus., Avinguda del Doctor Josep Laporte, 2, Reus, Tarragona, 43204, Spain
| | - Patricia Guillem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Preventive Medicine, University of Valencia., Av. de Blasco Ibáñez, 13., Valencia, 46010, Spain
| | - María Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM)., Carrer del Dr. Aiguader, 88., Barcelona, 08003, Spain
| | - Manuel Moñino
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Health Research Institute of the Balearic Islands (IdISBa). Edificio S, Hospital Universitario Son Espases, Carretera de Valldemossa, 79., Palma, Balearic Islands, 07120, Spain
| | - Alejandro Oncina-Canovas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Miguel Hernandez University, ISABIAL-FISABIO, Avda Pintor Baeza, 12 HGUA. Centro de Diagnóstico., Planta 5ª., Alicante, 03010, Spain
| | - Itziar Salaverria-Lete
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, C/ Jose Atxotegi Kalea, s/n., Araba Vitoria-Gasteiz, 01009, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA. C/ Irunlarrea, 1, Pamplona, Navarra, 31008, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health. 665 Huntington Avenue Boston, Massachusetts, 02115, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició. Universitat Rovira i Virgili, Campus Sescelades. C/ Marcel·lí Domingo, 1., Reus, Tarragona, 43007, Spain.,Nutrition Unit. University Hospital of Sant Joan de Reus., Avinguda del Doctor Josep Laporte, 2, Reus, Tarragona, 43204, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV)., Carrer Dr. Mallafré Guasch, 4., Reus, Tarragona, 43007, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM)., Carrer del Dr. Aiguader, 88., Barcelona, 08003, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain
| | - Francisco J Tinahones
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga University. Instituto de Investigación Biomédica de Málaga (IBIMA), Avda. Teatinos s/n., Málaga, 29010, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, C/ Monforte de Lemos, 5., Madrid, 28029, Spain
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- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga University. Instituto de Investigación Biomédica de Málaga (IBIMA), Avda. Teatinos s/n., Málaga, 29010, Spain
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17
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Romanenko M, Kholin V, Koliada A, Vaiserman A. Nutrition, Gut Microbiota, and Alzheimer's Disease. Front Psychiatry 2021; 12:712673. [PMID: 34421687 PMCID: PMC8374099 DOI: 10.3389/fpsyt.2021.712673] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 07/12/2021] [Indexed: 12/17/2022] Open
Abstract
Nutrition is known to play an important role in the pathogenesis of Alzheimer's disease. Evidence is obtained that the gut microbiota is a key player in these processes. Dietary changes (both adverse and beneficial) may influence the microbiome composition, thereby affecting the gut-brain axis and the subsequent risk for Alzheimer's disease progression. In this review, the research findings that support the role of intestinal microbiota in connection between nutritional factors and the risk for Alzheimer's disease onset and progression are summarized. The mechanisms potentially involved in these processes as well as the potential of probiotics and prebiotics in therapeutic modulation of contributed pathways are discussed.
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Affiliation(s)
- Mariana Romanenko
- Laboratory of Dietetics, D.F. Chebotarev State Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine
| | - Victor Kholin
- Department of Age Physiology and Pathology of the Nervous System, D.F. Chebotarev State Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine
| | | | - Alexander Vaiserman
- Laboratory of Epigenetics, D.F. Chebotarev State Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine
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18
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Bermejo-Pareja F, Ciudad-Cabañas MJ, Llamas-Velasco S, Tapias-Merino E, Hernández Gallego J, Hernández-Cabria M, Collado-Yurrita L, López-Arrieta JM. Is milk and dairy intake a preventive factor for elderly cognition (dementia and Alzheimer's)? A quality review of cohort surveys. Nutr Rev 2020; 79:743-757. [PMID: 33316068 DOI: 10.1093/nutrit/nuaa045] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Milk and dairy (M&D) is a longstanding human food with widespread use. Many studies showed the preventive capacity of M&D in several human health disorders, but its utility in others is under discussion. Aging has been associated to elderly cognitive decline including dementia-Alzheimer syndrome (Dem-AD). The absence of a therapy to impede or postpone Dem-AD determines the need for its prevention, including nutritional factors. To evaluate the preventive capacity of M&D consumption in elderly Dem-AD we performed a systematic review in the main biomedical databases and information resources, but we present this study as a narrative review to discuss better the complexity of this subject. The elderly Dem-AD has a long pre-symptomatic period and the M&D intake has a widespread use. These determinants and the quality flaws of published studies impeach us to answer whether M&D consumption is preventive for Dem-AD. Moreover, two long Japanese cohorts suggest that M&D intake could prevent Dem-AD. Prospective cohorts beginning in midlife (or early life) could answer this question in the future.
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Affiliation(s)
- Félix Bermejo-Pareja
- Research Unit, University Hospital "12 de Octubre", Madrid. Chair "Alzheimer disease", Department of Medicine, Faculty of Medicine, Complutense University of Madrid, Spain
| | | | - Sara Llamas-Velasco
- Research Institute (Imas12), University Hospital "12 de Octubre," Madrid, Spain
| | - Ester Tapias-Merino
- Research Institute (Imas12), University Hospital "12 de Octubre," Madrid, Spain
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19
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Li Y, Li S, Wang W, Zhang D. Association between Dietary Protein Intake and Cognitive Function in Adults Aged 60 Years and Older. J Nutr Health Aging 2020; 24:223-229. [PMID: 32003415 DOI: 10.1007/s12603-020-1317-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVES The aim of this study was to examine the association of dietary protein intake and protein sources with cognitive function in population aged 60 years and older. DESIGN Cross-sectional study. SETTING The National Health and Nutrition Examination Survey (NHANES) 2011-2014. PARTICIPANTS Non-institutionalized US adults aged 60 years and older. MEASUREMENTS Cognitive functions were assessed by a series of cognitive tests. Dietary protein intake was assessed by two 24-hour dietary recall interviews. Linear regression analyses were used to assess the associations between quartiles of dietary protein intake and cognitive function. RESULTS Protein intake was positively associated with cognitive function. In full-adjusted model, the significant association between dietary protein intake and Recall Test score was observed (quartile (Q) 2 versus Q1, β=0.24, 95%CI: 0.01 to 0.47); the association between protein intake and Animal Fluency test was significant (Q2 versus Q1, β=1.40, 95%CI: 0.51 to 2.29; Q4 versus Q1, β=1.42, 95%CI: 0.37 to 2.48); the positive associations with DSST score and Composite z-score were observed both in Q2 versus Q1 and Q3 versus Q1 of protein intake. Protein intake from total animal, total meat, eggs and legumes were associated with a better performance on certain cognitive tests. However, an adverse association between higher protein intake from milk and milk products and cognitive function was observed. CONCLUSIONS We found the positive associations of dietary protein intake and protein intake from total animal, total meat, eggs and legumes with cognitive function in adults aged 60 years and older, while higher milk and milk products were negatively associated with cognitive function.
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Affiliation(s)
- Y Li
- Dongfeng Zhang, Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, Shandong, China. E-mail:
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20
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Carmichael O, Newton R. Brain MRI findings related to Alzheimer's disease in older African American adults. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 165:3-23. [PMID: 31481168 DOI: 10.1016/bs.pmbts.2019.04.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Although a substantial body of research has identified brain MRI measures as important markers of Alzheimer's disease (AD) risk, progression, and treatment response, most of that research has been performed in non-Hispanic white American populations, leading to questions about the utility of the brain MRI measures among individuals of other races or ethnicities. African American individuals in particular are under-represented in AD research, and may exhibit differences in prevalence of AD risk factors, prevalence of AD, incidence of AD, the clinical course of cognitive decline, and AD neuropathology, each of which could influence the utility of brain MRI markers. Unfortunately, while current evidence suggests that African Americans exhibit poorer brain health late in life based on brain MRI measurements, several other aspects of brain MRI markers in this population are unclear, including trajectories of brain MRI markers leading up to old age, relationships between traditional brain health risk factors and brain MRI findings, and the status of brain MRI markers as correlates of cognitive impairment. This unclear state of affairs highlights the urgency of future research in which large numbers of older African American adults contribute longitudinal brain MRI measurements concurrent with clinical, cognitive, and molecular biomarker measurements, ideally in the context of AD preventive or therapeutic trials.
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Affiliation(s)
- Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, LA, United States.
| | - Robert Newton
- Pennington Biomedical Research Center, Baton Rouge, LA, United States
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21
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Cuesta-Triana F, Verdejo-Bravo C, Fernández-Pérez C, Martín-Sánchez FJ. Effect of Milk and Other Dairy Products on the Risk of Frailty, Sarcopenia, and Cognitive Performance Decline in the Elderly: A Systematic Review. Adv Nutr 2019; 10:S105-S119. [PMID: 31089731 PMCID: PMC6518150 DOI: 10.1093/advances/nmy105] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 09/17/2018] [Accepted: 11/02/2018] [Indexed: 12/15/2022] Open
Abstract
Nutrition is a modifiable factor potentially related to aging. Milk and other dairy products may contribute to the prevention of physical and cognitive impairment. We conducted a systematic review to investigate the effectiveness of dairy product intake for preventing cognitive decline, sarcopenia, and frailty in the elderly population. A systematic search for publications in electronic databases [MEDLINE via PubMed, Embase, Scopus, the Cochrane Central Register of Controlled Trials (CENTRAL), and the Cochrane Database of Systematic Reviews] from 2009 to 2018 identified observational and interventional studies in English and Spanish that tested the relation between dairy product consumption and cognitive decline, sarcopenia, and frailty in community-dwelling older people. We assessed the participants, the type of exposure or intervention, the outcomes, and the quality of evidence. We screened a total of 661 records and included 6 studies (5 observational prospective cohort studies and 1 randomized controlled trial). Regarding cognitive impairment, the relation cannot be firmly established. Consumption of milk at midlife may be negatively associated with verbal memory performance. In older women, high intakes of dairy desserts and ice cream were associated with cognitive decline. On the other hand, 1 study demonstrated a significant inverse relation between dairy intake and development of Alzheimer disease among older Japanese subjects. The consumption of dairy products by older people may reduce the risk of frailty, especially with high consumption of low-fat milk and yogurt, and may also reduce the risk of sarcopenia by improving skeletal muscle mass through the addition of nutrient-rich dairy proteins (ricotta cheese) to the habitual diet. Despite the scarcity of evidence on the topic, our systematic review shows that there are some positive effects of dairy products on frailty and sarcopenia, whereas studies concerning cognitive decline have contradictory findings.
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Affiliation(s)
| | | | - Cristina Fernández-Pérez
- Department of Preventive Medicine, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Escuela de Enfermería de Universidad Complutense de Madrid, Madrid, Spain
| | - Francisco J Martín-Sánchez
- Emergency Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Facultad de Medicina de Universidad Complutense de Madrid, Madrid, Spain
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22
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Sarni AR, Baroni L. Milk and Parkinson disease: Could galactose be the missing link. MEDITERRANEAN JOURNAL OF NUTRITION AND METABOLISM 2019. [DOI: 10.3233/mnm-180234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | - Luciana Baroni
- Primary Care Unit, Northern District, Local Health Unit 2 Marca Trevigiana, Treviso, Italy
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23
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The impact of nutrient-based dietary patterns on cognitive decline in older adults. Clin Nutr 2018; 38:2813-2820. [PMID: 30591381 DOI: 10.1016/j.clnu.2018.12.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 11/27/2018] [Accepted: 12/07/2018] [Indexed: 11/21/2022]
Abstract
BACKGROUND & AIMS The impact of nutrient patterns on cognitive decline is complex and findings are still inconclusive. We aimed to identify major nutrient patterns and to explore their association with cognitive decline over time among older adults. METHODS In a population-based cohort, 2250 cognitively healthy people aged ≥60 years were identified at baseline (2001-2004), and followed-up to 9 years. Global cognitive function was tested with the Mini-Mental State Examination (MMSE) at baseline and follow-ups. Nutrients intake was assessed on the basis of food intake using a 98-semi-quantitative food frequency questionnaire at baseline, and nutrient-based patterns were identified by principal components analysis based on 30 nutrients. Mixed-effects linear regression models were used to determine their association with change in cognitive function taking into account potential confounders. RESULTS Four major patterns (the plant-, animal-, dairy-derived nutrients and animal/plants-derived fats) were identified. Over the follow-up time, each one unit increment in plant- (β = 0.081, P = 0.002) and animal-derived nutrients pattern scores (β = 0.098, P < 0.001) was associated with slower decline in MMSE score. On the other hand, one-unit higher in dairy-derived nutrients pattern was related to a faster decline in global cognitive function (β = -0.064, P = 0.014). No significant association between animal/plants fats pattern and cognitive decline was observed. In stratified analyses, the association of high scores of plants- and animal-derived nutrient pattern with slower cognitive decline was stronger in APOE ε4 carriers than in ε4 non-carriers. CONCLUSIONS Plant- and animal -derived nutrients are associated with preserved cognitive function, especially among the APOE ε4 carriers, whereas nutrients derived from dairy products may accelerate cognitive decline in older adults.
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24
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Scarmeas N, Anastasiou CA, Yannakoulia M. Nutrition and prevention of cognitive impairment. Lancet Neurol 2018; 17:1006-1015. [PMID: 30244829 DOI: 10.1016/s1474-4422(18)30338-7] [Citation(s) in RCA: 318] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 08/03/2018] [Accepted: 09/05/2018] [Indexed: 12/13/2022]
Abstract
Nutrition is an important lifestyle factor that can modify the risk of future cognitive impairment and dementia. Some, but not conclusive, evidence (mostly from observational studies and infrequently from clinical trials) exists of a protective association between certain nutrients (eg, folate, flavonoids, vitamin D, and certain lipids) or food groups (eg, seafood, vegetables, and fruits, and potentially moderate alcohol and caffeine consumption) and cognitive outcomes in older people. For some nutrients and food groups, protection might be greater in individuals with either deficiencies in certain nutrients or a genetic predisposition to cognitive impairment. Identification of potentially different associations between such subgroups should be a priority for future research. At present, evidence of an association between nutrition and cognitive outcomes is somehow stronger for healthy dietary patterns, such as the Mediterranean-type diet, than for individual nutrients and food groups, possibly because of the cumulative beneficial effects of the many ingredients in these diets. Multidomain interventions (including a nutrition component) might also hold some promise for the prevention of cognitive impairment and dementia, but their effectiveness is still uncertain. Use of advanced technologies for nutrition assessment (eg, metabolomics and innovative methods of dietary intake assessment) and recently identified biomarkers of nutrition and neurobiological outcomes will be important to achieve this goal.
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Affiliation(s)
- Nikolaos Scarmeas
- Department of Social Medicine, Psychiatry and Neurology, National and Kapodistrian University of Athens, First Neurology Clinic, Aeginition Hospital, Athens, Greece; Taub Institute for Research in Alzheimer's disease and the Aging Brain, Gertrude H Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA.
| | - Costas A Anastasiou
- Department of Social Medicine, Psychiatry and Neurology, National and Kapodistrian University of Athens, First Neurology Clinic, Aeginition Hospital, Athens, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
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25
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Lee J, Fu Z, Chung M, Jang DJ, Lee HJ. Role of milk and dairy intake in cognitive function in older adults: a systematic review and meta-analysis. Nutr J 2018; 17:82. [PMID: 30149812 PMCID: PMC6112122 DOI: 10.1186/s12937-018-0387-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 08/06/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND As aging populations increase across the globe, research on lifestyle factors that prevent cognitive decline and dementia is urgently needed. Therefore, a systematic review was conducted to examine the effects of varying levels of milk intake alone or in combination with other dairy products on the outcomes of cognitive function and disorders in adults. METHODS A comprehensive search was conducted across 3 databases (PUBMED, CINAHL, and EMBASE) from their inception through October 2017. Prospective cohort studies and randomized controlled trials (RCTs) that enrolled adults were included. Studies with follow-up durations of less than 4 weeks and studies including schizophrenic patients were excluded. Two independent investigators conducted abstract and full-text screenings, data extractions, and risk-of-bias (ROB) assessments using validated tools. Studies were synthesized qualitatively using a strength of evidence (SoE) rating tool. A random-effects model for meta-analysis was conducted when at least 3 unique studies reported sufficient quantitative data for the same outcome. RESULTS A total of 1 RCT and 7 cohort studies were included. One medium-quality small RCT (n = 38 participants) showed that only spatial working memory was marginally better in the high dairy diet group compared to the low dairy diet group. Two of the 7 cohort studies were rated as having a high ROB, and only 1 cohort study was rated as having a low ROB. There were large methodological and clinical heterogeneities, such as the methods used to assess milk or dairy intake and the characteristics of the study populations. It was impossible to conduct a dose-response meta-analysis because the studies utilized different categories of exposures (e.g., different frequencies of milk consumption or the amount of dairy intake). Thus, the overall SoE was rated as insufficient regarding the associations between milk intake and cognitive decline, dementia, and Alzheimer's disease outcomes. Our meta-analysis of 3 cohort studies showed no significant association between milk intake and cognitive decline outcome (pooled adjusted risk ratio = 1.21; 95% CI: 0.81, 1.82; for highest vs. lowest intake) with large statistical heterogeneity (I2 = 64.1%). CONCLUSIONS The existing evidence (mostly observational) is too poor to draw a firm conclusion regarding the effect of milk or dairy intake on the risk of cognitive decline or disorders in adults.
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Affiliation(s)
- Jounghee Lee
- Department of Nutrition Education, Kyonggi University, Suwon-si, South Korea
| | - Zhuxuan Fu
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, USA
| | - Mei Chung
- Department of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, USA
| | - Dai-Ja Jang
- Research Group of Nutrition and Diet, Korea Food Research Institute, Wanju-gun, South Korea
| | - Hae-Jeung Lee
- Department of Food and Nutrition, Gachon University, Seongnam-si, Gyeonggi-do 461-701 South Korea
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26
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Pistollato F, Iglesias RC, Ruiz R, Aparicio S, Crespo J, Lopez LD, Manna PP, Giampieri F, Battino M. Nutritional patterns associated with the maintenance of neurocognitive functions and the risk of dementia and Alzheimer’s disease: A focus on human studies. Pharmacol Res 2018; 131:32-43. [DOI: 10.1016/j.phrs.2018.03.012] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 03/15/2018] [Accepted: 03/15/2018] [Indexed: 11/25/2022]
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