1
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Wang J, Wu S, Zhang J, Li Y, Wu Y, Qi X. Correlation between gut microbiome and cognitive impairment in patients undergoing peritoneal dialysis. BMC Nephrol 2023; 24:360. [PMID: 38053016 PMCID: PMC10696889 DOI: 10.1186/s12882-023-03410-z] [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: 05/01/2023] [Accepted: 11/24/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Growing evidence has demonstrated that patients undergoing peritoneal dialysis (PD) are more likely to experience cognitive impairment than patients with non-dialysis end-stage renal disease (ESRD); however, the underlying mechanisms remain unclear. This study aimed to identify the role and predictive significance of gut microbiome alterations in PD-associated cognitive impairment. METHODS A total of 29 non-dialysis ESRD patients and 28 PD patients were enrolled in this study and divided into subgroups according to the Montreal Cognitive Assessment (MoCA). Faecal samples were analyzed using 16 S rRNA. Mini-Mental State Examination (MMSE) and MoCA scores were used to assess the degree of cognitive impairment in patients. RESULTS The 16 S rRNA analysis demonstrated differences in gut microbiome abundance and structure between PD and non-dialysis ESRD patients and between PD patients with cognitive impairment (PCI) and PD patients with normal cognition (PNCI). At family and genus levels, Prevotellaceae exhibited the greatest structure difference, while Lactobacillus exhibited the greatest abundance difference between PCI and PNCI. Altered microbiota abundance significantly correlated with cognitive function and serum indicators in PD. In addition, different modules related to fatty acid, lipid, pantothenate, and coenzyme A biosynthesis, and tyrosine and tryptophan metabolism were inferred from 16 S rRNA data between PCI and PNCI. Both groups could be distinguished using models based on the abundance of Lactobacillaceae (Area under curve [AUC] = 0.83), Actinomycetaceae (AUC = 0.798), and Prevotellaceae (AUC = 0.778) families and Lactobacillus (AUC = 0.848) and Actinomyces (AUC = 0.798) genera. CONCLUSION Gut microbiome evaluation could aid early cognitive impairment diagnosis in patients undergoing PD.
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Affiliation(s)
- Jingjing Wang
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Siyang Wu
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Jin Zhang
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yuanyuan Li
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yonggui Wu
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China.
- Center for Scientific Research of Anhui Medical University, Hefei, 230022, Anhui, PR China.
| | - Xiangming Qi
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China.
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2
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Zhou L. Association of vitamin B2 intake with cognitive performance in older adults: a cross-sectional study. J Transl Med 2023; 21:870. [PMID: 38037028 PMCID: PMC10691015 DOI: 10.1186/s12967-023-04749-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/21/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND To scrutinize the relationship between vitamin B2 consumption and cognitive function based on the NHANES database. METHODS This cross-sectional study included eligible older adults from the NHANES 2011-2014. Vitamin B2 intake was determined from dietary interview data for two 24-h periods. Cognitive function was evaluated through the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). The regression analyses were used to evaluate the association of vitamin B2 intake with cognitive performance. Stratified analyses based on gender, race, and body mass index (BMI) were conducted. RESULTS Higher vitamin B2 intake was correlated with higher scores on each test. As compared to the lowest quartile, the highest quartile of vitamin B2 intake was related to a 45.1-fold increase (P = 0.004) on the DSST test sores. Moreover, those who were males, non-Hispanic whites, or had a BMI of 18.5 to 30 kg/m2 had a stronger relationship between total vitamin B2 consumption and cognitive function. CONCLUSION It's possible that older persons who consume more vitamin B2 have enhanced performance in some areas of cognitive function. To determine the causal link between vitamin B2 consumption and cognitive performance, further long-term research is required.
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Affiliation(s)
- Lingyan Zhou
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
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3
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Lorenzo-Mora AM, López-Sobaler AM, Bermejo LM, González-Rodríguez LG, Cuadrado-Soto E, Peral-Suárez Á, Salas-González MD, Delgado-Losada ML, Rodríguez-Rojo IC, Barabash A, Maestú-Unturbe F, Aparicio A. Association between Mineral Intake and Cognition Evaluated by Montreal Cognitive Assessment (MoCA): A Cross-Sectional Study. Nutrients 2023; 15:4505. [PMID: 37960158 PMCID: PMC10648921 DOI: 10.3390/nu15214505] [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: 08/15/2023] [Revised: 09/27/2023] [Accepted: 10/20/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Mineral intake may protect against cognitive impairment (CI) and all-cause dementia, which affects a large number of adults worldwide. The aim of this study was to investigate the association between mineral intake and Montreal Cognitive Assessment (MoCA), which is a sensitive and specific test. METHODS In total, 201 adults were included in a cross-sectional study. They completed a three-day dietary record to estimate their average daily intake of minerals. Contributions to dietary reference intakes (DRIs) were also calculated. The participants were divided into tertiles according to their mineral intake. CI classifications were determined via the MoCA (score < 26). Apolipoprotein E (APOE) genotyping was carried out, and the patients' anthropometric measurements and physical activity, health and personal data were collected. RESULTS The prevalence of CI in this selective sample was 54.2% (34.3% females and 19.9% males). In women, being in the third tertiles of iron and manganese intake was associated with lower odds of having CI (OR [95% CI]: 0.32 [0.11 ± 0.93]; 0.33 [0.12 ± 0.93], p < 0.05). No significant differences were observed for any of the nutrients studied in men. CONCLUSIONS These findings suggest that a low mineral intake, especially low iron and manganese intake in women, is associated with a worse cognition as assessed by MoCA.
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Affiliation(s)
- Ana M. Lorenzo-Mora
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
| | - Ana M. López-Sobaler
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
- San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;
| | - Laura M. Bermejo
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
- San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;
| | - Liliana G. González-Rodríguez
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
| | - Esther Cuadrado-Soto
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
| | - África Peral-Suárez
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
- School of Sport, Exercise and Health Sciences, Loughborough LE11 3TU, UK
| | - María Dolores Salas-González
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
| | - María Luisa Delgado-Losada
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
- San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid, 28223 Madrid, Spain
| | - Inmaculada C. Rodríguez-Rojo
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223 Madrid, Spain;
- Department of Nursing and Physiotherapy, Faculty of Medicine and Health Sciences, Universidad de Alcalá, 28871 Madrid, Spain
| | - Ana Barabash
- Faculty of Medicine, Department of Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - Fernando Maestú-Unturbe
- San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid, 28223 Madrid, Spain
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223 Madrid, Spain;
| | - Aránzazu Aparicio
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
- San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;
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4
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Zhang M, Chen H, Zhang W, Liu Y, Ding L, Gong J, Ma R, Zheng S, Zhang Y. Biomimetic Remodeling of Microglial Riboflavin Metabolism Ameliorates Cognitive Impairment by Modulating Neuroinflammation. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300180. [PMID: 36799538 PMCID: PMC10131853 DOI: 10.1002/advs.202300180] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Indexed: 05/07/2023]
Abstract
Neuroinflammation, for which microglia are the predominant contributors, is a significant risk factor for cognitive dysfunction. Riboflavin (also known as vitamin B2) ameliorates cognitive impairment via anti-oxidative stress and anti-inflammation properties; however, the underlying mechanisms linking riboflavin metabolism and microglial function in cognitive impairment remain unclear. Here, it is demonstrated that riboflavin kinase (RFK), a critical enzyme in riboflavin metabolism, is specifically expressed in microglia. An intermediate product of riboflavin, flavin mononucleotide (FMN), inhibited RFK expression via regulation of lysine-specific methyltransferase 2B (KMT2B). FMN supplementation attenuated the pro-inflammatory TNFR1/NF-κB signaling pathway, and this effect is abolished by KMT2B overexpression. To improve the limited anti-inflammatory efficiency of free FMN, a biomimetic microglial nanoparticle strategy (designated as MNPs@FMN) is established, which penetrated the blood brain barrier with enhanced microglial-targeted delivery efficiency. Notably, MNPs@FMN ameliorated cognitive impairment and dysfunctional synaptic plasticity in a lipopolysaccharide-induced inflammatory mouse model and in a 5xFAD mouse model of Alzheimer's disease. Taken together, biomimetic microglial delivery of FMN may serve as a potential therapeutic approach for inflammation-dependent cognitive decline.
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Affiliation(s)
- Mengran Zhang
- Department of NeurologyInstitute of NeuroscienceKey Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of ChinaThe Second Affiliated HospitalGuangzhou Medical UniversityGuangzhou510260China
| | - Huaqing Chen
- Shenzhen Key Laboratory of Gene and Antibody TherapyCenter for Biotechnology and BiomedicineState Key Laboratory of Chemical OncogenomicsState Key Laboratory of Health Sciences and TechnologyInstitute of Biopharmaceutical and Health EngineeringShenzhen International Graduate SchoolTsinghua UniversityShenzhenGuangdong518055China
| | - Wenlong Zhang
- Department of NeurologyThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhou510120China
| | - Yan Liu
- School of Traditional Chinese MedicineJinan UniversityGuangzhou510632China
| | - Liuyan Ding
- Department of NeurologyThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhou510120China
| | - Junwei Gong
- Department of NeurologyInstitute of NeuroscienceKey Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of ChinaThe Second Affiliated HospitalGuangzhou Medical UniversityGuangzhou510260China
| | - Runfang Ma
- Department of NeurologyInstitute of NeuroscienceKey Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of ChinaThe Second Affiliated HospitalGuangzhou Medical UniversityGuangzhou510260China
| | - Shaohui Zheng
- Department of NeurologyInstitute of NeuroscienceKey Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of ChinaThe Second Affiliated HospitalGuangzhou Medical UniversityGuangzhou510260China
| | - Yunlong Zhang
- Department of NeurologyInstitute of NeuroscienceKey Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of ChinaThe Second Affiliated HospitalGuangzhou Medical UniversityGuangzhou510260China
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5
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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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6
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The Layered Encapsulation of Vitamin B 2 and β-Carotene in Multilayer Alginate/Chitosan Gel Microspheres: Improving the Bioaccessibility of Vitamin B 2 and β-Carotene. Foods 2021; 11:foods11010020. [PMID: 35010146 PMCID: PMC8750672 DOI: 10.3390/foods11010020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/12/2021] [Accepted: 12/17/2021] [Indexed: 02/06/2023] Open
Abstract
This research underlines the potential of alginate multilayered gel microspheres for the layered encapsulation and the simultaneous delivery of vitamin B2 (VB) and β-carotene (BC). Chitosan was used to improve the stability and controlled release ability of alginate-based gel microspheres. It was shown that a clear multilayered structure possessed the characteristics of pH response, and excellent thermal stability. The sodium alginate concentration and the number of layers had notable effects on mechanical properties and particle size of gel microspheres. Fourier-transform infrared spectroscopy and X-ray diffraction analyses further proved that VB and BC were encapsulated within the gel microspheres. Compared with the three-layer VB-loaded gel microspheres, the total release of VB from the three-layer VB and BC-loaded gel decreased from 93.23% to 85.58%. The total release of BC from the three-layer VB and BC-loaded gel increased from 66.11% to 69.24% compared with three-layer BC-loaded gel. The simultaneous encapsulation of VB and BC in multilayered gel microspheres can markedly improve their bioaccessibility and bioavailability. These results showed the multilayer gel microspheres synthesized herein have potential for applications in the layered encapsulation and simultaneous delivery of various bioactive substances to the intestinal tract.
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7
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Liu X, Dhana K, Furtado JD, Agarwal P, Aggarwal NT, Tangney C, Laranjo N, Carey V, Barnes LL, Sacks FM. Higher circulating α-carotene was associated with better cognitive function: an evaluation among the MIND trial participants. J Nutr Sci 2021; 10:e64. [PMID: 34527222 PMCID: PMC8411267 DOI: 10.1017/jns.2021.56] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 07/21/2021] [Indexed: 01/28/2023] Open
Abstract
There is emerging evidence linking fruit and vegetable consumption and cognitive function. However, studies focusing on the nutrients underlying this relationship are lacking. We aim to examine the association between plasma nutrients and cognition in a population at risk for cognitive decline with a suboptimal diet. The Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) trial is a randomized controlled intervention that examines the effects of the MIND diet to prevent cognitive decline. The primary outcome is global cognition. A multivariate linear model was used to investigate the association between blood nutrients and global and/or domain-specific cognition. The model was adjusted for age, sex, education, study site, smoking status, cognitive activities and physical activities. High plasma α-carotene was associated with better global cognition. Participants in the highest tertile of plasma α-carotene had a higher global cognition z score of 0⋅17 when compared with individuals in the lowest tertile (P 0⋅002). Circulating α-carotene levels were also associated with higher semantic memory scores (P for trend 0⋅007). Lutein and zeaxanthin (combined) was positively associated with higher semantic memory scores (P for trend 0⋅009). Our study demonstrated that higher α-carotene levels in blood were associated with higher global cognition scores in a US population at risk for cognitive decline. The higher α-carotene levels in blood reflected greater intakes of fruits, other types of vegetables and lesser intakes of butter and margarine and meat. The higher circulating levels of lutein plus zeaxanthin reflected a dietary pattern with high intakes of fruits, green leafy, other vegetables and cheese, and low consumption of fried foods. Objective nutrient markers in the blood can better characterize dietary intake, which may facilitate the implementation of a tailored dietary intervention for the prevention of cognitive decline.
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Affiliation(s)
- Xiaoran Liu
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, USA
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Klodian Dhana
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, USA
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Jeremy D. Furtado
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Puja Agarwal
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, USA
| | - Neelum T. Aggarwal
- Rush Alzheimer's disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurology, Rush University Medical Center, Chicago, IL, USA
| | - Christy Tangney
- Department of Preventive Medicine, Rush Medical College, Chicago, IL, USA
- Department of Clinical Nutrition, Rush College of Health Sciences, Chicago, IL, USA
| | - Nancy Laranjo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Vincent Carey
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Lisa L. Barnes
- Rush Alzheimer's disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurology, Rush University Medical Center, Chicago, IL, USA
| | - Frank M. Sacks
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
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8
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Sugimoto T, Araki A, Fujita H, Honda K, Inagaki N, Ishida T, Kato J, Kishi M, Kobayashi K, Kouyama K, Noma H, Ohishi M, Satoh-Asahara N, Shimada H, Sugimoto K, Suzuki S, Takeya Y, Tamura Y, Tokuda H, Umegaki H, Watada H, Yamada Y, Sakurai T. The Multi-Domain Intervention Trial in Older Adults With Diabetes Mellitus for Prevention of Dementia in Japan: Study Protocol for a Multi-Center, Randomized, 18-Month Controlled Trial. Front Aging Neurosci 2021; 13:680341. [PMID: 34322009 PMCID: PMC8312849 DOI: 10.3389/fnagi.2021.680341] [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: 03/14/2021] [Accepted: 05/31/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The Japan-Multi-domain Intervention Trial for Prevention of Dementia in Older Adults with Diabetes (J-MIND-Diabetes) is an 18-month, multi-centered, open-labeled, randomized controlled trial designed to identify whether multi-domain intervention targeting modifiable risk factors for dementia could prevent the progression of cognitive decline among older adults with type 2 diabetes mellitus (T2DM). This manuscript describes the study protocol for the J-MIND-Diabetes trial. Materials and Methods: Subjects of this trial will comprise a total of 300 T2DM outpatients aged 70-85 years with mild cognitive impairment. Subjects will be centrally randomized into intervention and control groups at a 1:1 allocation ratio using the stratified permuted-block randomization methods. The intervention group will participate in multi-domain intervention programs aimed at: (1) management of metabolic and vascular risk factors; (2) physical exercise and self-monitoring of physical activity; (3) nutritional guidance; and (4) social participation. The control group will receive usual T2DM care and general instructions on dementia prevention. The primary and secondary outcomes will be assessed at baseline, at 6- and 18-month follow-up. The primary outcome is change from baseline at 18 months in a global composite score combining several neuropsychological domains, including global cognitive function, memory, attention, executive function, processing speed and language. Secondary outcomes include: (1) cognitive changes in neuropsychological tests; (2) changes in geriatrics assessments; (3) metabolic control and diabetic complications; (4) changes in blood and urinary markers. Discussion: This trial will be the first trial to demonstrate the effectiveness of multi-domain intervention in preventing cognitive decline in older adults with T2DM at increased risk of dementia in Japan. Trial Registration: UMIN000035911; Registered on the University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR) 18 February 2019. (https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000040908).
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Affiliation(s)
- Taiki Sugimoto
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Atsushi Araki
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Hiroki Fujita
- Department of Endocrinology, Diabetes and Geriatric Medicine, Akita University Graduate School of Medicine, Akita, Japan
| | - Keiko Honda
- Department of Medical Nutrition, Kagawa Nutrition University, Saitama, Japan
| | - Nobuya Inagaki
- Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takeshi Ishida
- Department of Internal Medicine, Saitama Citizens Medical Center, Saitama, Japan
| | - Junichi Kato
- Department of Internal Medicine, Hyogo Prefectural Rehabilitation Center at Nishi-Harima, Tatsuno, Japan
| | - Minoru Kishi
- Department of Internal Medicine, Nishiwaki Municipal Hospital, Nishiwaki, Japan
| | - Kazuki Kobayashi
- Department of Diabetes and Metabolic Disease, Asahi General Hospital, Chiba, Japan
| | - Kunichi Kouyama
- Department of Diabetes Medicine, Hyogo-Chuo National Hospital, Sanda, Japan
| | - Hisashi Noma
- Department of Data Science, Institute of Statistical Mathematics, Tokyo, Japan
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Noriko Satoh-Asahara
- Department of Endocrinology, Metabolism, and Hypertension Research, Clinical Research Institute National Hospital Organization, Kyoto Medical Center, Kyoto, Japan
| | - Hiroyuki Shimada
- Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | | | - Susumu Suzuki
- Diabetes Center, Ohta Nishinouchi Hospital, Koriyama, Japan
| | - Yasushi Takeya
- Department of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yoshiaki Tamura
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Haruhiko Tokuda
- Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Clinical Laboratory, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hiroyuki Umegaki
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichiro Yamada
- Department of Endocrinology, Diabetes and Geriatric Medicine, Akita University Graduate School of Medicine, Akita, Japan
| | - Takashi Sakurai
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
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9
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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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10
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Beydoun MA, Canas JA, Fanelli-Kuczmarski MT, Maldonado AI, Shaked D, Kivimaki M, Evans MK, Zonderman AB. Association of Antioxidant Vitamins A, C, E and Carotenoids with Cognitive Performance over Time: A Cohort Study of Middle-Aged Adults. Nutrients 2020; 12:nu12113558. [PMID: 33233594 PMCID: PMC7699702 DOI: 10.3390/nu12113558] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/10/2020] [Accepted: 11/16/2020] [Indexed: 12/31/2022] Open
Abstract
Carotenoids may strengthen the association of antioxidant vitamins A, C, and E with favorable cognitive outcomes over time, though a few prospective studies have examined this hypothesis. We evaluated the longitudinal data from 1251 participants in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (Age at visit 1 in 2004–2009 (v1): 30–65 years). Vitamins A, C, and E dietary intakes and total and individual dietary carotenoids were computed using two 24-h recalls at v1. Cognitive tests, covering global mental status and domains of memory/learning, attention, psychomotor speed, visuo-spatial, language/verbal, and executive function were conducted at v1 and/or v2 (2009–2013); mean ± SD follow-up: 4.66 ± 0.93 years. Mixed-effects linear regression models detected an interaction between vitamin E and total (and individual) carotenoids for three of 11 cognitive tests at v1, with only one meeting the statistical significance upon multiple testing correction whereby vitamin E was linked with greater verbal memory performance in the uppermost total carotenoid tertile (γ0a = +0.26 ± 0.08, p = 0.002), a synergism largely driven by carotenoid lycopene. Vitamins A and C showed no consistent interactions with carotenoids. In conclusion, we provide partial evidence for synergism between vitamin E and carotenoids in relation to better baseline cognitive performance, pending further studies with time-dependent exposures and randomized trials directly examining this synergism.
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Affiliation(s)
- May A. Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA; (A.I.M.); (M.K.E.); (A.B.Z.)
- Correspondence: ; Fax: +1-410-558-8236
| | - Jose A. Canas
- Department of Pediatrics, Johns Hopkins Medical Institutions, Saint Petersburg, FL 33701, USA;
| | | | - Ana I. Maldonado
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA; (A.I.M.); (M.K.E.); (A.B.Z.)
| | - Danielle Shaked
- Department of Psychology, VA Boston Healthcare System, Boston, MA 02130, USA;
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK;
| | - Michele K. Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA; (A.I.M.); (M.K.E.); (A.B.Z.)
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA; (A.I.M.); (M.K.E.); (A.B.Z.)
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11
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Nutrition Management in Older Adults with Diabetes: A Review on the Importance of Shifting Prevention Strategies from Metabolic Syndrome to Frailty. Nutrients 2020; 12:nu12113367. [PMID: 33139628 PMCID: PMC7693664 DOI: 10.3390/nu12113367] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 02/07/2023] Open
Abstract
The increasing prevalence of older adults with diabetes has become a major social burden. Diabetes, frailty, and cognitive dysfunction are closely related to the mechanisms of aging. Insulin resistance, arteriosclerosis, chronic inflammation, oxidative stress, and mitochondrial dysfunction may be common mechanisms shared by frailty and cognitive impairment. Hyperglycemia, hypoglycemia, obesity, vascular factors, physical inactivity, and malnutrition are important risk factors for cognitive impairment and frailty in older adults with diabetes. The impact of nutrients on health outcomes varies with age; thus, shifting diet therapy strategies from the treatment of obesity/metabolic syndrome to frailty prevention may be necessary in patients with diabetes who are over 75 years of age, have frailty or sarcopenia, and experience malnutrition. For the prevention of frailty, optimal energy intake, sufficient protein and vitamin intake, and healthy dietary patterns should be recommended. The treatment of diabetes after middle age should include the awareness of proper glycemic control aimed at extending healthy life expectancy with proper nutrition, exercise, and social connectivity. Nutritional therapy in combination with exercise, optimal glycemic and metabolic control, and social participation/support for frailty prevention can extend healthy life expectancy and maintain quality of life in older adults with diabetes mellitus.
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12
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Sinclair A, Abdelhafiz A. Cognitive Dysfunction in Older Adults with Type 2 Diabetes: Links, Risks, and Clinical Implications. Clin Geriatr Med 2020; 36:407-417. [PMID: 32586471 DOI: 10.1016/j.cger.2020.04.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The prevalence of comorbid diabetes and cognitive dysfunction increases as the population ages. Diabetes increases the risk of progression of cognitive dysfunction through a spectrum of cognitive decline to mild cognitive impairment then to dementia. Cognitive dysfunction, especially impairment in the executive domain, has a negative impact on patients' self-care tasks. With further progression of dementia and the development of behavioral problems, the challenge to carers and health care professionals looking after these patients is significant. Therefore, clinical trials are needed to explore the impact of novel hypoglycemic therapy on cognitive function as an important outcome in this population.
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Affiliation(s)
- Alan Sinclair
- Foundation for Diabetes Research in Older People, Diabetes Frail Ltd, Droitwich Spa WR9 0QH, UK; Kings College, London SE1 9NH, UK.
| | - Ahmed Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, UK
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13
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[Effect of lifestyle on aging and geriatric disease]. Nihon Ronen Igakkai Zasshi 2020; 57:361-373. [PMID: 33268620 DOI: 10.3143/geriatrics.57.361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
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14
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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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Tao L, Liu K, Chen S, Yu H, An Y, Wang Y, Zhang X, Wang Y, Qin Z, Xiao R. Dietary Intake of Riboflavin and Unsaturated Fatty Acid Can Improve the Multi-Domain Cognitive Function in Middle-Aged and Elderly Populations: A 2-Year Prospective Cohort Study. Front Aging Neurosci 2019; 11:226. [PMID: 31555120 PMCID: PMC6727035 DOI: 10.3389/fnagi.2019.00226] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 08/08/2019] [Indexed: 12/27/2022] Open
Abstract
Objective This study was aimed to explore the effects of dietary nutrients on cognitive function among the middle-aged and elderly populations. Methods A prospective cohort study of 1,385 middle-aged and elderly people was conducted from January 2014 to December 2017. Dietary nutrients were assessed according to the food frequency questionnaire (FFQ) and China Food Composition Database (CFCD). Montreal cognitive assessment (MoCA) was used to evaluate the participants’ global cognitive function. Six other neuropsychological measures [auditory verbal learning test-immediate recall (AVLT-IR), auditory verbal learning test-short recall (AVLT-SR), auditory verbal learning test-long recall (AVLT-LR), logical memory test (LMT), digit span forward (DST-F), and digit span backward (DST-B)] were used to assess the verbal memory domain and the attention domain by principal component analysis (PCA). Multiple linear regressions were conducted to explore associations between nutrients and cognition. Sensitivity analyses were performed to confirm the results. Results Dietary riboflavin was protective for global cognitive function (β = 1.31, 95% CI: 0.26, 2.35) and the verbal memory domain (β = 0.37, 95% CI: 0.02, 0.71). Unsaturated fatty acid (USFA) played a protective role in global cognitive function (β = 1.15, 95% CI: 0.16, 2.14). The protective effects of riboflavin and USFA on cognitive function were consistent and reliable when different confounders were adjusted during sensitivity analyses. During the follow-up, neuropsychological measure scores revealed a reduced decline in the high-riboflavin group (d-MoCA, P = 0.025; d-AVLT-IR, P = 0.001; d-DST-B, P = 0.004; and d-composite score, P = 0.004) and the high-USFA group (d-AVLT-IR, P = 0.007; d-LMT, P = 0.032; d-DST-B, P = 0.002; and d-composite score, P = 0.008). Conclusion Higher intake of riboflavin and USFA can improve multi-dimensional cognitive functioning in middle-aged and elderly people. These findings were consistent in different models of sensitivity analyses.
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Affiliation(s)
- Lingwei Tao
- School of Public Health, Capital Medical University, Beijing, China
| | - Kuo Liu
- School of Public Health, Capital Medical University, Beijing, China
| | - Si Chen
- School of Public Health, Capital Medical University, Beijing, China
| | - Huiyan Yu
- School of Public Health, Capital Medical University, Beijing, China
| | - Yu An
- School of Public Health, Capital Medical University, Beijing, China
| | - Ying Wang
- School of Public Health, Capital Medical University, Beijing, China
| | - Xiaona Zhang
- School of Public Health, Capital Medical University, Beijing, China
| | - Yushan Wang
- School of Public Health, Capital Medical University, Beijing, China
| | | | - Rong Xiao
- School of Public Health, Capital Medical University, Beijing, China
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Wang D, Zhang L, Xu Y, Qi X, Wang X, Wang X, Zhang Q, Li P. Optimization of an Ultrasound-Assisted Extraction for Simultaneous Determination of Antioxidants in Sesame with Response Surface Methodology. Antioxidants (Basel) 2019; 8:antiox8080321. [PMID: 31430991 PMCID: PMC6720519 DOI: 10.3390/antiox8080321] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 08/09/2019] [Accepted: 08/14/2019] [Indexed: 12/17/2022] Open
Abstract
Sesame is a nutritional agricultural product with medicinal properties. Accurate determination of micronutrients is important for the improvement of sesame quality and nutrition assessments. Our previous study showed that 10 antioxidants—d-homoproline, vitamin B2, coniferyl aldehyde, hesperidin, phloretin, N-acetyl-l-leucine, l-hyoscyamine, ferulic acid, 5-methoxypsoralen, and 8-methoxypsoralen—in sesame were potential characteristic nutrients in sesame. Herein, simultaneous detection of 10 different types of antioxidants was developed by using ultrasound-assisted extraction coupled with liquid chromatography-tandem mass spectrometry (UAE-LC-MS/MS) with the help of response surface methodology. The significant variables and levels were screened and optimized by combining the single factor experiment, Plackett–Burman test, and Box–Behnken design. The optimal conditions for extraction of target antioxidants in sesame were methanol solution of 75.0%, liquid-to-material ratio of 20:1 (mL/g), extraction temperature of 50 °C, extraction power of 410.0 W, extraction time of 65 min. The total yield of targets was 21.74 μg/g under the optimized conditions. The mobile phase used was 0.1% formic acid in acetonitrile and 0.1% formic acid in water, and the column was a Thermo Syncronis C18 reverse phase column (100 mm × 2.1 mm, 3 μm). All targets required only one injection and could be quickly separated and assayed within 7 min. The limits of detection and limits of quantification for these 10 nutritional compounds ranged from 0.01 to 0.11 µg/kg and from 0.04 to 0.34 µg/kg, respectively. The validation results indicated that the method had reasonable linearity (R2 ≥ 0.9990), good recoveries (71.1%–118.3%), satisfactory intra-day precision (≤9.6%) and inter-day precision (≤12.9%), and negligible matrix effects (≤13.8%). This simultaneous quantification method was accurate, fast, and robust for the assessment of sesame nutrition.
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Affiliation(s)
- Dandan Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Liangxiao Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Yueqing Xu
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Xin Qi
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Xuefang Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Xiupin Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Qi Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China
| | - Peiwu Li
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062 China.
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan 430062, China.
- Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China.
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan 430062, China.
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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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[Essence and Perspective of the JGS/JDS Clinical Practice Guideline for the Treatment of Diabetes in the Elderly]. Nihon Ronen Igakkai Zasshi 2018; 55:1-12. [PMID: 29503351 DOI: 10.3143/geriatrics.55.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Mair ML, Athavale R, Abdelhafiz AH. Practical considerations for managing patients with diabetes and dementia. Expert Rev Endocrinol Metab 2017; 12:429-440. [PMID: 30063433 DOI: 10.1080/17446651.2017.1395692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Diabetes and dementia appear to be linked epidemiologically and share a common pathogenetic mechanism. The development of dementia in older people with diabetes will have a significant impact on diabetes self-care and will increase the risk of hypoglycaemia and frailty which ultimately lead to disability and poor outcome. Areas covered: We performed a Medline and Embase search from 1997 to present on relevant dementia and diabetes studies published in English language. Expert commentary: Older people with comorbid diabetes and dementia are functionally heterogeneous and interventions should be proportionate to patients 'functional capacity. Metabolic targets can be tightened in fit persons and relaxed when cognitive abilities continue to decline and overall function deteriorates. A holistic multidisciplinary team approach that involves patients, their carers and integrated primary and secondary care services at one point of care that focuses on improving function and maintaining quality of life is needed.
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Affiliation(s)
- Michelle L Mair
- a Department of Geriatric Medicine , Rotherham General Hospital , Rotherham , UK
| | - Rohin Athavale
- a Department of Geriatric Medicine , Rotherham General Hospital , Rotherham , UK
| | - Ahmed H Abdelhafiz
- a Department of Geriatric Medicine , Rotherham General Hospital , Rotherham , UK
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