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Guo H, Tian Q, Qin X, Luo Q, Gong X, Gao Q. Systematic evaluation and meta-analysis of the effects of major dietary patterns on cognitive function in healthy adults. Nutr Neurosci 2024:1-17. [PMID: 38689541 DOI: 10.1080/1028415x.2024.2342164] [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: 05/02/2024]
Abstract
PURPOSE Evidence shows diet promotes brain health. Combining foods and nutrients may have beneficial synergistic effects, but the effects on cognitive function interventions are inconsistent. So, a meta-analysis of RCTs was conducted to examine the specific effects on cognitive function. METHODS We searched four databases from creation to April 2023. Eligible randomized controlled trials were identified. A random-effects meta-analysis was used to combine standardized mean differences (SMD) (95% confidence intervals [CI]), and homogeneity tests for a variance were calculated. RESULTS A total of 19 studies involving 12,119 participants were included in this systematic review. The dietary intervention group had a positive effect on overall cognitive functioning compared to the control group (SMD = 0.14, 95% CI [0.08, 0.20], P < 0.00001). The dietary intervention improved executive function, processing speed and language skills (SMD = -0.10, 95% CI [-0.17,-0.04], P = 0.002, I2 = 0%), (SMD = -0.16, 95% CI [-0.23,-0.09], P < 0.00001, I2 = 0%), (SMD = 0.10, 95% CI [0.01, 0.20], P = 0.03, I2 = 0%). The dietary intervention had no effect on delayed memory and spatial ability (SMD = 0.04, 95% CI [-0.02, 0.09], P = 0.20, I2 = 0%), (SMD = 0.08, 95% CI [-0.01, 0.16], P = 0.08, I2 = 0%). CONCLUSION The Mediterranean diet, a diet with restricted caloric intake, a diet incorporating aerobic exercise, a low-carbohydrate diet, and a healthy lifestyle diet (increased intake of fruits and vegetables, and weight and blood pressure management) appear to have positive effects on cognitively healthy adults, as reflected in their overall cognitive, processing speed, executive, and language functions. PROSPERO REGISTRATION NUMBER CRD42023414704.
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Affiliation(s)
- HanQing Guo
- School of Public Health, Ningxia Medical University, Yinchuan, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, People's Republic of China
| | - Qi Tian
- School of Public Health, Ningxia Medical University, Yinchuan, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, People's Republic of China
| | - XueMei Qin
- School of Public Health, Ningxia Medical University, Yinchuan, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, People's Republic of China
| | - Qing Luo
- School of Public Health, Ningxia Medical University, Yinchuan, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, People's Republic of China
| | - XiuMei Gong
- Nutrition Department of Laizhou People's Hospital, TanTai, People's Republic of China
| | - Qinghan Gao
- School of Public Health, Ningxia Medical University, Yinchuan, People's Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, People's Republic of China
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Sasako T, Yamauchi T, Ueki K. Intensified Multifactorial Intervention in Patients with Type 2 Diabetes Mellitus. Diabetes Metab J 2023; 47:185-197. [PMID: 36631991 PMCID: PMC10040617 DOI: 10.4093/dmj.2022.0325] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/03/2022] [Indexed: 01/13/2023] Open
Abstract
In the management of diabetes mellitus, one of the most important goals is to prevent its micro- and macrovascular complications, and to that end, multifactorial intervention is widely recommended. Intensified multifactorial intervention with pharmacotherapy for associated risk factors, alongside lifestyle modification, was first shown to be efficacious in patients with microalbuminuria (Steno-2 study), then in those with less advanced microvascular complications (the Anglo-Danish-Dutch Study of Intensive Treatment In People with Screen Detected Diabetes in Primary Care [ADDITION]-Europe and the Japan Diabetes Optimal Treatment study for 3 major risk factors of cardiovascular diseases [J-DOIT3]), and in those with advanced microvascular complications (the Nephropathy In Diabetes-Type 2 [NID-2] study and Diabetic Nephropathy Remission and Regression Team Trial in Japan [DNETT-Japan]). Thus far, multifactorial intervention led to a reduction in cardiovascular and renal events, albeit not necessarily significant. It should be noted that not only baseline characteristics but also the control status of the risk factors and event rates during intervention among the patients widely varied from one trial to the next. Further evidence is needed for the efficacy of multifactorial intervention in a longer duration and in younger or elderly patients. Moreover, now that new classes of antidiabetic drugs are available, it should be addressed whether strict and safe glycemic control, alongside control of other risk factors, could lead to further risk reductions in micro- and macrovascular complications, thereby decreasing all-cause mortality in patients with type 2 diabetes mellitus.
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Affiliation(s)
- Takayoshi Sasako
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kohjiro Ueki
- Diabetes Research Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
- Department of Molecular Diabetology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Castro CB, Costa LM, Dias CB, Chen J, Hillebrandt H, Gardener SL, Brown BM, Loo RL, Garg ML, Rainey-Smith SR, Martins RN, Sohrabi HR. Multi-Domain Interventions for Dementia Prevention - A Systematic Review. J Nutr Health Aging 2023; 27:1271-1280. [PMID: 38151879 DOI: 10.1007/s12603-023-2046-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/10/2023] [Indexed: 12/29/2023]
Abstract
OBJECTIVES There is a growing incidence of cognitive decline and dementia associated with the ageing population. Lifestyle factors such as diet, physical activity, and cognitive activities may individually or collectively be undertaken to increase one's odds of preventing cognitive decline and future dementia. This study will examine whether clinical trials using multidomain lifestyle intervention can significantly decrease the risk of cognitive decline and therefore dementia. DESIGN, SETTING AND PARTICIPANTS This systematic literature review of multidomain lifestyle interventions for the prevention of cognitive decline and dementia followed the PRISMA guidelines. Clinical trials involving multidomain intervention (i.e., diet and physical activity, or without cognitive training) in older adults (≥ 49 years old) at higher risk of dementia were identified through 5 electronic databases (EMBASE, MEDLINE, CINAHL, Cochrane, and Scopus). A comprehensive search was performed to identify and retrieve publications until 15 November 2022. Trials were published in English. RESULTS The included studies (n=15) assessed change in cognition in response to a multidomain lifestyle intervention. However, the cognitive outcome measures used in these studies were heterogeneous. Despite this heterogeneity, two thirds of the studies showed improvement in cognition following a multidomain intervention (n=10 with a total of 9,439 participants). However, five studies reported no improvement in cognition following the multidomain intervention. The most common form of dietary intervention included higher amount of fruit and vegetable intake; whole-grain cereal products instead of refined; low fat options in milk and meat products; and limiting sucrose intake to less than 50 g/day. Most clinical trial studies were powered to examining the effects of multidomain interventions in cognition but were not designed to test the contribution of individual domains (i.e., dietary changes, increased physical activity, or increased cognitive stimulation alone). CONCLUSION This systematic review aimed to determine the effect of multimodal lifestyle interventions on cognitive outcomes in older adults at risk of dementia. We found that participants with conditions that may increase the risk of dementia, (e.g., hypertension, cardiovascular fragility) do benefit from multi-modal lifestyle changes including diet, physical activity, and cognitive training. Two thirds of studies using multidomain lifestyle interventions showed improvements in cognitive function. Trials with a focus on cognitive training, dietary improvement, and physical activity may prevent or delay cognitive decline in older adults including those at risk of developing dementia. Future studies should consider longer follow-up periods and adequate power to be able to examine the effects of each lifestyle component in the context of multimodal interventions.
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Affiliation(s)
- C B Castro
- Professor Hamid R. Sohrabi, Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Australia, Phone: +61 8 9360 6901, E-mail: ; Professor Ralph N. Martins, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia, E-mail:
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Sugimoto T, Tokuda H, Miura H, Kawashima S, Ando T, Kuroda Y, Matsumoto N, Fujita K, Uchida K, Kishino Y, Sakurai T. Cross-sectional association of metrics derived from continuous glucose monitoring with cognitive performance in older adults with type 2 diabetes. Diabetes Obes Metab 2023; 25:222-228. [PMID: 36082514 DOI: 10.1111/dom.14866] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/29/2022] [Accepted: 09/04/2022] [Indexed: 12/14/2022]
Abstract
AIM To examine the association between continuous glucose monitoring (CGM)-derived metrics and cognitive performance in older adults with type 2 diabetes (T2D). MATERIALS AND METHODS A total of 100 outpatients with T2D aged 70 years or older were analysed. Participants underwent CGM for 14 days. As CGM-derived metrics, mean sensor glucose (SG), glucose coefficient of variation (CV), time in range (TIR; 70-180 mg/dl), time above range (TAR; > 180 mg/dl) and time below range (TBR; < 70 mg/dl), were calculated. Participants underwent cognitive tests, including the Japanese version of the Montreal Cognitive Assessment (MoCA-J), a delayed word-recall test from the Alzheimer's Disease Assessment Scale-cognitive subscale, a digit symbol substitution test, a letter word fluency test, a trail-making test (TMT) and digit span test (DSP). RESULTS In multiple regression analyses adjusted for confounders, a higher mean SG was associated with a lower performance in MoCA-J and TMT part B (TMT-B) (P < .05). A higher TAR was associated with a lower performance in TMT-B and DSP-backward (P < .05). By contrast, a higher TIR was associated with better function in TMT-B and DSP-backward (P < .05). Furthermore, CV and TBR were not associated with any cognitive function. CONCLUSION Hyperglycaemia metrics and TIR derived from CGM are associated with cognitive functions, especially with executive function and working memory, in older adults with T2D.
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Affiliation(s)
- Taiki Sugimoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Center for Comprehensive Care and Research on Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Haruhiko Tokuda
- Department of Clinical Laboratory, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Endocrinology and Metabolism, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hisayuki Miura
- Department of Endocrinology and Metabolism, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Home Care and Regional Liaison Promotion, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shuji Kawashima
- Department of Endocrinology and Metabolism, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takafumi Ando
- Human-Centered Mobility Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
| | - Yujiro Kuroda
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Nanae Matsumoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kosuke Fujita
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kazuaki Uchida
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Rehabilitation Science, Graduate School of Health Sciences, Kobe University, Kobe, Japan
| | - Yoshinobu Kishino
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Sakurai
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Center for Comprehensive Care and Research on Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
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5
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Moran C, Than S, Callisaya M, Beare R, Srikanth V. New Horizons-Cognitive Dysfunction Associated With Type 2 Diabetes. J Clin Endocrinol Metab 2022; 107:929-942. [PMID: 34788847 DOI: 10.1210/clinem/dgab797] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Indexed: 11/19/2022]
Abstract
The prevalence of type 2 diabetes (T2D) and cognitive dysfunction increases with age. As society ages, clinicians will be increasingly tasked with managing older people who have both T2D and cognitive dysfunction. T2D is associated with an increased risk of cognitive dysfunction and hence there is increasing interest in whether T2D is a causal factor in the pathogenesis of cognitive decline and dementia. Recent advances in the use of sensitive measures of in vivo brain dysfunction in life-course studies can help understand potential mechanistic pathways and also help guide recommendations for clinical practice. In this article we will describe new horizons in the understanding of cognitive dysfunction associated with T2D. Coming from a clinical perspective, we discuss potential mechanisms and pathways linking the 2 conditions and the contribution of multimodal neuroimaging and study designs to advancing understanding in the field. We also highlight the important issues on the horizon that will need addressing in clinical identification, management, and risk reduction for people with coexistent T2D and cognitive dysfunction.
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Affiliation(s)
- Chris Moran
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Alfred Health, Melbourne, 3004 Victoria, Australia
| | - Stephanie Than
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, 3199 Victoria, Australia
| | - Michele Callisaya
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, 7000 Tasmania, Australia
| | - Richard Beare
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, 3052 Victoria, Australia
| | - Velandai Srikanth
- Academic Unit, Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, 3199 Victoria, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, 3199 Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, 7000 Tasmania, Australia
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Verhagen C, Janssen J, Biessels GJ, Johansen OE, Exalto LG. Females with type 2 diabetes are at higher risk for accelerated cognitive decline than males: CAROLINA-COGNITION study. Nutr Metab Cardiovasc Dis 2022; 32:355-364. [PMID: 34895804 DOI: 10.1016/j.numecd.2021.10.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 10/02/2021] [Accepted: 10/18/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND AND AIM Cognitive dysfunction is increasingly recognized as an important comorbidity of type 2 diabetes (T2D). We aimed to establish if the risk of accelerated cognitive decline (ACD) is higher in females with T2D than males. METHODS AND RESULTS 3163 participants (38% female) with T2D from the cognition substudy of CAROLINA® (NCT01243424) were included (mean age 64.4 ± 9.2 years; T2D duration 7.6 ± 6.1 years). The cognitive outcome was occurrence of ACD at end of follow-up, defined as a regression based index score ≤16th percentile on either the Mini-Mental State Examination (MMSE) or a composite measure of attention and executive functioning (Trail Making and Verbal Fluency Test). Potential confounders, were taken into account at an individual patient level. Logistic regression analysis was used to investigate ACD risk by sex. We assessed potential mediators for sex differences in ACD using Causal Mediation Analysis (CMA). After a median follow-up duration of 6.1 ± 0.7 years, 361 (30.0%) females compared to 494 (25.2%) males exhibited ACD (OR 1.27 [95%CI 1.08-1.49], p = .003). Depressive symptoms, which were more common in females (24.3% vs 12.5%), mediated between sex and ACD (mediation effect 20.3%, p = 0.03). There were no other significant mediators. CONCLUSION Females with T2D had a higher risk of ACD compared to males. This was partly explained by depressive symptoms. After evaluation of vascular and diabetes-related risk factors, complications and treatment, a major share of the higher risk of ACD in females remained unexplained. Our results highlight the need for further research on causes of sex-specific ACD in T2D.
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Affiliation(s)
- Chloë Verhagen
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands.
| | - Jolien Janssen
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands.
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands.
| | - Odd Erik Johansen
- Cardiometabolic Clinical Development, Nestlé Health Science, Vevey, Switzerland.
| | - Lieza G Exalto
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands.
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7
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Kivipelto M, Palmer K, Hoang TD, Yaffe K. Trials and Treatments for Vascular Brain Health: Risk Factor Modification and Cognitive Outcomes. Stroke 2022; 53:444-456. [DOI: 10.1161/strokeaha.121.032614] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
There is robust evidence linking vascular health to brain health, cognition, and dementia. In this article, we present evidence from trials of vascular risk factor treatment on cognitive outcomes. We summarize findings from randomized controlled trials of antihypertensives, lipid-lowering medications, diabetes treatments (including antidiabetic drugs versus placebo, and intensive versus standard glycemic control), and multidomain interventions (that target several domains simultaneously such as control of vascular and metabolic factors, nutrition, physical activity, and cognitive stimulation etc). We report that evidence on the efficacy of vascular risk reduction interventions is promising, but not yet conclusive, and several methodological limitations hamper interpretation. Evidence mainly comes from high-income countries and, as cognition and dementia have not been the primary outcomes of many trials, evaluation of cognitive changes have often been limited. As the cognitive aging process occurs over decades, it is unclear whether treatment during the late-life window is optimal for dementia prevention, yet older individuals have been the target of most trials thus far. Further, many trials have not been powered to explore interactions with modifiers such as age, race, and apolipoprotein E, even though sub-analyses from some trials indicate that the success of interventions differs depending on patient characteristics. Due to the complex multifactorial etiology of dementia, and variations in risk factors between individuals, multidomain interventions targeting several risk factors and mechanisms are likely to be needed and the long-term sustainability of preventive interventions will require personalized approaches that could be facilitated by digital health tools. This is especially relevant during the coronavirus disease 2019 (COVID-19) pandemic, where intervention strategies will need to be adapted to the new normal, when face-to-face engagement with participants is limited and public health measures may create changes in lifestyle that affect individuals’ vascular risk profiles and subsequent risk of cognitive decline.
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Affiliation(s)
- Miia Kivipelto
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden (M.K., K.P.)
- Medical Unit Aging, Karolinska University Hospital (M.K.)
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, United Kingdom (M.K.)
- Institute of Public Health and Clinical Nutrition and Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio (M.K.)
| | - Katie Palmer
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden (M.K., K.P.)
- FINGERS Brain Health Institute, Stockholm, Sweden (K.P.)
| | - Tina D. Hoang
- Northern California Institute for Research and Education, San Francisco, CA (T.D.H.)
- Center for Population Brain Health, University of California, San Francisco (T.D.H., K.Y.)
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology; University of California, San Francisco (K.Y.)
- Center for Population Brain Health, University of California, San Francisco (T.D.H., K.Y.)
- San Francisco Veterans Affairs Healthcare System, CA (K.Y.)
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8
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van Gennip ACE, Stehouwer CDA, van Boxtel MPJ, Verhey FRJ, Koster A, Kroon AA, Köhler S, van Greevenbroek MMJ, Wesselius A, Eussen SJPM, Backes WH, Jansen JF, Schram MT, Henry RMA, Singh-Manoux A, van Sloten TT. Association of Type 2 Diabetes, According to the Number of Risk Factors Within Target Range, With Structural Brain Abnormalities, Cognitive Performance, and Risk of Dementia. Diabetes Care 2021; 44:2493-2502. [PMID: 34588209 PMCID: PMC9612883 DOI: 10.2337/dc21-0149] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 06/15/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes is associated with increased risks of cognitive dysfunction and brain abnormalities. The extent to which risk factor modification can mitigate these risks is unclear. We investigated the associations between incident dementia, cognitive performance, and brain abnormalities among individuals with type 2 diabetes, according to the number of risk factors on target, compared with control subjects without diabetes. RESEARCH DESIGN AND METHODS Prospective data were from UK Biobank of 87,856 individuals (n = 10,663 diabetes, n = 77,193 control subjects; baseline 2006-2010), with dementia follow-up until February 2018. Individuals with diabetes were categorized according to the number of seven selected risk factors within the guideline-recommended target range (nonsmoking; guideline-recommended levels of glycated hemoglobin, blood pressure, BMI, albuminuria, physical activity, and diet). Outcomes were incident dementia, domain-specific cognitive performance, white matter hyperintensities, and total brain volume. RESULTS After a mean follow-up of 9.0 years, 147 individuals (1.4%) with diabetes and 412 control subjects (0.5%) had incident dementia. Among individuals with diabetes, excess dementia risk decreased stepwise for a higher number of risk factors on target. Compared with control subjects (incidence rate per 1,000 person-years 0.62 [95% CI 0.56; 0.68]), individuals with diabetes who had five to seven risk factors on target had no significant excess dementia risk (absolute rate difference per 1,000 person-years 0.20 [-0.11; 0.52]; hazard ratio 1.32 [0.89; 1.95]). Similarly, differences in processing speed, executive function, and brain volumes were progressively smaller for a higher number of risk factors on target. These results were replicated in the Maastricht Study. CONCLUSIONS Among individuals with diabetes, excess dementia risk, lower cognitive performance, and brain abnormalities decreased stepwise for a higher number of risk factors on target.
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Affiliation(s)
- April C E van Gennip
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.,School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.,School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands
| | - Martin P J van Boxtel
- School for Mental Health and Neuroscience MHENS, Maastricht University, Maastricht, the Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Frans R J Verhey
- School for Mental Health and Neuroscience MHENS, Maastricht University, Maastricht, the Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Annemarie Koster
- Care and Public Health Research Institute CAPHRI, Maastricht University, Maastricht, the Netherlands.,Department of Social Medicine, Maastricht University, Maastricht, the Netherlands
| | - Abraham A Kroon
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.,School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- School for Mental Health and Neuroscience MHENS, Maastricht University, Maastricht, the Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.,School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands
| | - Anke Wesselius
- School of Nutrition and Translational Research in Metabolism NUTRIM, Maastricht University, Maastricht, the Netherlands.,Department of Genetics and Cell Biology, Complex Genetics, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Simone J P M Eussen
- School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands.,Department of Epidemiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Walter H Backes
- School for Mental Health and Neuroscience MHENS, Maastricht University, Maastricht, the Netherlands.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Jacobus F Jansen
- School for Mental Health and Neuroscience MHENS, Maastricht University, Maastricht, the Netherlands.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Miranda T Schram
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.,School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands.,School for Mental Health and Neuroscience MHENS, Maastricht University, Maastricht, the Netherlands.,Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Ronald M A Henry
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.,School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands
| | - Archana Singh-Manoux
- Epidemiology of Ageing and Neurodegenerative Diseases, Université de Paris, INSERM U1153, Paris, France.,Department of Epidemiology and Public Health, University College London, London, U.K
| | - Thomas T van Sloten
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands .,School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, the Netherlands
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9
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Dyer AH, Briggs R, Laird E, Hoey L, Hughes CF, McNulty H, Ward M, Strain JJ, Molloy AM, Cunningham C, McCarroll K. Glycated haemoglobin (HbA 1c ), diabetes and neuropsychological performance in community-dwelling older adults. Diabet Med 2021; 38:e14668. [PMID: 34343367 DOI: 10.1111/dme.14668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 07/17/2021] [Accepted: 08/02/2021] [Indexed: 12/01/2022]
Abstract
AIMS Given that diabetes is associated with cognitive impairment and dementia in later life, we aimed to investigate the relationship between glycated haemoglobin (HbA1c ), diabetes and domain-specific neuropsychological performance in older adults. METHODS Cross-sectional cohort study using data from the Trinity-Ulster-Department of Agriculture (TUDA) study. Participants underwent detailed cognitive and neuropsychological assessment using the Mini-Mental State Examination (MMSE), Frontal Assessment Battery (FAB) and Repeatable Assessment for Neuropsychological Status (RBANS). Linear regression was used to assess associations between HbA1c , diabetes status and neuropsychological performance, with adjustment for important clinical covariates. RESULTS Of 4938 older adults (74.1 ± 8.3 years; 66.9% female), 16.3% (n = 803) had diabetes (HbA1c ≥ 6.5%; 48 mmol/mol), with prediabetes (HbA1c ≥ 5.7%-6.4%; 39-47 mmol/mol) present in 28.3% (n = 1395). Increasing HbA1c concentration was associated with poorer overall performance on the FAB [β: -0.01 (-0.02, -0.00); p = 0.04 per % increase] and RBANS [β = -0.66 (-1.19, -0.13); p = 0.02 per % increase]. Increasing HbA1c was also associated with poorer performance on immediate memory, visuo-spatial, language and attention RBANS domains. Diabetes was associated poorer performance on neuropsychological tests of immediate memory, language, visual-spatial and attention. CONCLUSIONS Both increasing HbA1c and the presence of diabetes were associated with poorer cognitive and domain-specific performance in older adults. HbA1c , and not just diabetes status per se, may represent an important target in the promotion of optimal brain health in older adults.
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Affiliation(s)
- Adam H Dyer
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland
- Wellcome-HRB Clinical Research Facility, St James's Hospital, Dublin, Ireland
| | - Robert Briggs
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
| | - Eamon Laird
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland
| | - Leane Hoey
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Catherine F Hughes
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Helene McNulty
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Mary Ward
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - J J Strain
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Anne M Molloy
- School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Conal Cunningham
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland
| | - Kevin McCarroll
- Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland
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10
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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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11
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Wang BN, Wu CB, Chen ZM, Zheng PP, Liu YQ, Xiong J, Xu JY, Li PF, Mamun AA, Ye LB, Zheng ZL, Wu YQ, Xiao J, Wang J. DL-3-n-butylphthalide ameliorates diabetes-associated cognitive decline by enhancing PI3K/Akt signaling and suppressing oxidative stress. Acta Pharmacol Sin 2021; 42:347-360. [PMID: 33462377 PMCID: PMC8027654 DOI: 10.1038/s41401-020-00583-3] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 11/16/2020] [Indexed: 02/07/2023] Open
Abstract
DL-3-n-Butylphthalide (DL-NBP), a small molecular compound extracted from the seeds of Apium graveolens Linn (Chinese celery), has been shown to exert neuroprotective effects due to its anti-inflammatory, anti-oxidative and anti-apoptotic activities. DL-NBP not only protects against ischemic cerebral injury, but also ameliorates vascular cognitive impairment in dementia patients including AD and PD. In the current study, we investigated whether and how DL-NBP exerted a neuroprotective effect against diabetes-associated cognitive decline (DACD) in db/db mice, a model of type-2 diabetes. db/db mice were orally administered DL-NBP (20, 60, 120 mg· kg-1· d-1) for 8 weeks. Then the mice were subjected to behavioral test, their brain tissue was collected for morphological and biochemical analyses. We showed that oral administration of DL-NBP significantly ameliorated the cognitive decline with improved learning and memory function in Morris water maze testing. Furthermore, DL-NBP administration attenuated diabetes-induced morphological alterations and increased neuronal survival and restored the levels of synaptic protein PSD95, synaptophysin and synapsin-1 as well as dendritic density in the hippocampus, especially at a dose of 60 mg/kg. Moreover, we revealed that DL-NBP administration suppressed oxidative stress by upregulating Nrf2/HO-1 signaling, and increased brain-derived neurotrophic factor (BDNF) expression by activating PI3K/Akt/CREB signaling in the hippocampus. These beneficial effects of DL-NBP were observed in high glucose-treated PC12 cells. Our results suggest that DL-NBP may be a potential pharmacologic agent for the treatment of DACD.
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Affiliation(s)
- Bei-Ni Wang
- Department of Hand Surgery and Peripheral Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China
| | - Cheng-Biao Wu
- Research Center, Affiliated Xiangshan Hospital, Wenzhou Medical University, Ningbo, 315700, China
| | - Zi-Miao Chen
- Department of Hand Surgery and Peripheral Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Pei-Pei Zheng
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China
| | - Ya-Qian Liu
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China
| | - Jun Xiong
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China
| | - Jing-Yu Xu
- The Institute of Life Sciences, Engineering Laboratory of Zhejiang province for Pharmaceutical Development of Growth Factors, Biomedical Collaborative Innovation Center of Wenzhou, Wenzhou University, Wenzhou, 325035, China
| | - Pei-Feng Li
- Department of Hand Surgery and Peripheral Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Abdullah Al Mamun
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China
| | - Li-Bing Ye
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China
| | - Zhi-Long Zheng
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China
| | - Yan-Qing Wu
- The Institute of Life Sciences, Engineering Laboratory of Zhejiang province for Pharmaceutical Development of Growth Factors, Biomedical Collaborative Innovation Center of Wenzhou, Wenzhou University, Wenzhou, 325035, China.
| | - Jian Xiao
- Department of Hand Surgery and Peripheral Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
- School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Jian Wang
- Department of Hand Surgery and Peripheral Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
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12
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Tang X, Cardoso MA, Yang J, Zhou JB, Simó R. Impact of Intensive Glucose Control on Brain Health: Meta-Analysis of Cumulative Data from 16,584 Patients with Type 2 Diabetes Mellitus. Diabetes Ther 2021; 12:765-779. [PMID: 33548021 PMCID: PMC7947088 DOI: 10.1007/s13300-021-01009-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 01/23/2021] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION Despite growing evidence that type 2 diabetes is associated with dementia, the question of whether intensive glucose control can prevent or arrest cognitive decline remains unanswered. In the analysis reported here, we explored the effect of intensive glucose control versus standard care on brain health, including structural abnormalities of the brain (atrophy, white matter hyperintensities, lacunar infarction, and cerebral microbleeds), cognitive dysfunction, and risk of dementia. METHODS We searched the PubMed and Embase databases, the Web of Science website, and the Clinicaltrial.gov registry for studies published in English prior to July 2020. Only studies with a randomized controlled trial (RCT) design were considered. We analyzed structural abnormalities of the brain (atrophy, white matter hyperintensities, lacunar infarction, and cerebral microbleeds), cognitive function (cognitive impairment, executive function, memory, attention, and information-processing speed), and dementia (Alzheimer's disease, vascular dementia, and mixed dementia). RESULTS Six studies (5 different RCTs) with 16,584 participants were included in this meta-analysis. One study that compared structural changes between groups receiving intensive versus conventional glucose control measures reported non-significant results. The results of the five studies, comprising four cohorts, indicated a significantly poorer decline in cognitive function in the intensive glucose control group (β - 0.03, 95% confidence interval [CI] - 0.05 to - 0.02) than in the conventional glucose control group. Further subgroup analysis showed a significant difference in the change in cognitive performance in composite cognitive function (β - 0.03, 95% CI - 0.05 to - 0.01) and memory (β - 0.13, 95% CI - 0.25 to - 0.02). One trial evaluated the prevalence of cognitive impairment and dementia between groups receiving intensive and conventional glucose control, respectively, and the differences were insignificant. CONCLUSION This meta-analysis suggests that intensive glucose control in patients with type 2 diabetes can slow down cognitive decline, especially the decline in composite cognition and memory function. However, further studies are necessary to confirm the impact of strict glucose control on structural abnormalities in the brain and the risk of dementia.
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Affiliation(s)
- Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Marly A Cardoso
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Jinkui Yang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
| | - Rafael Simó
- Endocrinology and Nutrition Department, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, Barcelona, Spain
- Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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13
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Carmichael OT, Neiberg RH, Dutton GR, Hayden KM, Horton E, Pi-Sunyer FX, Johnson KC, Rapp SR, Spira AP, Espeland MA. Long-term Change in Physiological Markers and Cognitive Performance in Type 2 Diabetes: The Look AHEAD Study. J Clin Endocrinol Metab 2020; 105:5897494. [PMID: 32845968 PMCID: PMC7566388 DOI: 10.1210/clinem/dgaa591] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 08/24/2020] [Indexed: 12/20/2022]
Abstract
CONTEXT The effects of physiological improvements on cognitive function among persons with type 2 diabetes mellitus (T2DM) are not fully understood. OBJECTIVE To determine whether improvements in physiological markers (body weight, blood sugar control, and physical activity) during intensive lifestyle intervention (ILI) are associated with enhancements in cognitive function in older adults with T2DM. DESIGN Multisite randomized controlled trial. SETTING Academic research centers. PATIENTS OR OTHER PARTICIPANTS Participants were aged 45-76 years, with T2DM. INTERVENTION The Action for Health in Diabetes (Look AHEAD) study, a randomized, controlled clinical trial of ILI. MAIN OUTCOME MEASURE Two to 3 cognitive assessments were collected from 1089 participants, the first and last occurring a mean (standard deviation) of 8.6 (1.0) and 11.5 (0.7) years after enrollment. RESULTS Greater improvement in blood sugar control was associated with better cognitive scores (fasting glucose and Rey Auditory Verbal Learning Test [AVLT]: P = 0.0148; fasting glucose and Digit Symbol Coding (DSC): P = 0.0360; HbA1C and DSC: P = 0.0477); but weight loss had mixed associations with cognitive scores (greater body mass index [BMI] reduction and worse AVLT overall: P = 0.0053; and greater BMI reduction and better DSC scores among those overweight but not obese at baseline: P = 0.010). Associations were strongest among those who were overweight (not obese) at baseline, and among those with a history of cardiovascular disease (CVD) at baseline. CONCLUSIONS Improvements in glycemic control, but not necessarily weight status, during ILI may be associated with better subsequent cognitive performance. These associations may differ by adiposity and CVD history.
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Affiliation(s)
- Owen T Carmichael
- Biomedical Imaging Center, Pennington Biomedical Research Center, Baton Rouge, Louisiana
- Correspondence and Reprint Requests: Owen T. Carmichael, PhD, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808, USA. E-mail:
| | - Rebecca H Neiberg
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Gareth R Dutton
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Kathleen M Hayden
- Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Edward Horton
- Joslin Diabetes Center, Harvard University, Boston, Massachusetts
| | - F Xavier Pi-Sunyer
- Division of Endocrinology, Obesity/Nutrition Research Center, Columbia University College of Physicians and Surgeons, New York, NY
| | - Karen C Johnson
- Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, Tennessee
| | - Stephen R Rapp
- Department of Psychiatry & Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Mark A Espeland
- Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
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14
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Mimenza-Alvarado AJ, Jiménez-Castillo GA, Yeverino-Castro SG, Barragán-Berlanga AJ, Pérez-Zepeda MU, Ávila-Funes JA, Aguilar-Navarro SG. Effect of poor glycemic control in cognitive performance in the elderly with type 2 diabetes mellitus: The Mexican Health and Aging Study. BMC Geriatr 2020; 20:424. [PMID: 33096995 PMCID: PMC7585218 DOI: 10.1186/s12877-020-01827-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 10/12/2020] [Indexed: 12/17/2022] Open
Abstract
Background Cognitive impairment is twice more frequent in elderly with type 2 diabetes mellitus (DM). This study was conducted to determine the association between glycemic control and cognitive performance among community-dwelling elderly persons in Mexico. Methods Cross-sectional study conducted in individuals aged 60 years or elderly participating in the 2012 Mexican Health and Aging Study. Type 2 DM participants were classified in 3 groups according to their glycated hemoglobin levels (HbA1c): < 7% (intensive control), 7–7.9% (standard control) or ≥ 8% (poor control), and cognitive performance: low (CCCE ≤44 points), intermediate (44.1–59.52 points), or high (≥59.53 points). Multinomial logistic regression models were constructed to determine this association. Results Two hundred sixteen community-dwelling adults aged 60 and older with type 2 diabetes were selected. Subjects in the low cognitive performance group were older (69.7 ± 6.6 vs 65.86 ± 5.18 years, p < .001) and had a lower educational level (2.5 ± 2.6 vs 7.44 ± 4.15 years, p < .000) when compared to the high cognitive performance participants. HbA1c ≥ 8% was associated with having low (Odds Ratio (OR) 3.17, 95% CI 1.17–8.60, p = .024), and intermediate (OR 3.23, 95% CI 1.27–8.20, p = .014) cognitive performance; this trend was not found for HbA1c 7.0–7.9% group. The multinomial regression analysis showed that the presence of HbA1c ≥ 8% (poor glycemic control) was associated with low (OR 3.17, 95% CI = 1.17–8.60, p = .024), and intermediate (OR 3.23, 95% CI = 1.27–8.20, p = .014) cognitive performance. After adjusting for confounding variables. Conclusions Glycemic control with a HbA1c ≥ 8% was associated with worse cognitive performance.
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Affiliation(s)
- Alberto J Mimenza-Alvarado
- Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, 14000, Mexico City, Mexico.,Department of Geriatric Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15. Tlalpan, 14000, Mexico City, Mexico
| | - Gilberto A Jiménez-Castillo
- Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, 14000, Mexico City, Mexico.,Department of Geriatric Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15. Tlalpan, 14000, Mexico City, Mexico.,Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, 64160, Monterrey, Nuevo León, Mexico
| | - Sara G Yeverino-Castro
- Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, 14000, Mexico City, Mexico
| | - Abel J Barragán-Berlanga
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, 64160, Monterrey, Nuevo León, Mexico
| | | | - J Alberto Ávila-Funes
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000, Bordeaux, France
| | - Sara G Aguilar-Navarro
- Geriatric Medicine & Neurology Fellowship, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, 14000, Mexico City, Mexico. .,Department of Geriatric Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15. Tlalpan, 14000, Mexico City, Mexico.
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15
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The ER stress-autophagy axis: implications for cognitive dysfunction in diabetes mellitus. Clin Sci (Lond) 2020; 134:1255-1258. [PMID: 32501495 PMCID: PMC7276635 DOI: 10.1042/cs20200235] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/16/2020] [Accepted: 05/22/2020] [Indexed: 01/23/2023]
Abstract
Unfolded protein response (UPR) often coordinates with autophagy to maintain cellular proteostasis. Disturbance of proteostasis correlates with diseases including diabetes and neurological complications. In a recent article in Clinical Science, Kong et al. highlighted the critical role of endoplasmic reticulum (ER) stress-autophagy axis in maintaining cognitive functions and provided pharmacological evidence with respect to cognitive improvements in a diabetic mouse model. These novel findings present new insights into the pathological mechanisms and therapeutic implications with the ER stress modulators in diabetes-related cognitive dysfunction.
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16
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Srikanth V, Sinclair AJ, Hill-Briggs F, Moran C, Biessels GJ. Type 2 diabetes and cognitive dysfunction-towards effective management of both comorbidities. Lancet Diabetes Endocrinol 2020; 8:535-545. [PMID: 32445740 DOI: 10.1016/s2213-8587(20)30118-2] [Citation(s) in RCA: 181] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/03/2020] [Accepted: 03/25/2020] [Indexed: 12/25/2022]
Abstract
Type 2 diabetes and cognitive dysfunction are highly prevalent disorders worldwide. Although type 2 diabetes is associated with an increased risk of dementia, awareness of the link between the two conditions is poor, and few recommendations are available to guide clinicians about how to approach cognitive dysfunction in people with diabetes. Clinical guidelines in diabetes have only recently begun to emphasise the importance of cognitive impairment in diabetes and its management. This Series paper aims to synthesise knowledge about the link between diabetes and cognitive dysfunction, issues pertaining to screening and diagnosis of cognitive impairment and dementia in those with type 2 diabetes, management of diabetes in people with cognitive dysfunction (accounting for age and frailty), and emerging therapies for prevention. A conceptual framework for approaching screening and diagnosis is included, and future research directions to guide the field forward are suggested.
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Affiliation(s)
- Velandai Srikanth
- Department of Geriatric Medicine, Peninsula Health, Peninsula Clinical School, Monash University, Melbourne, VIC, Australia.
| | - Alan J Sinclair
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Felicia Hill-Briggs
- Johns Hopkins School of Medicine, Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD, USA
| | - Chris Moran
- Department of Geriatric Medicine, Peninsula Health, Peninsula Clinical School, Monash University, Melbourne, VIC, Australia
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center, Utrecht, Netherlands
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17
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Smith PJ. Pathways of Prevention: A Scoping Review of Dietary and Exercise Interventions for Neurocognition. Brain Plast 2019; 5:3-38. [PMID: 31970058 PMCID: PMC6971820 DOI: 10.3233/bpl-190083] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Alzheimer's disease and related dementias (ADRD) represent an increasingly urgent public health concern, with an increasing number of baby boomers now at risk. Due to a lack of efficacious therapies among symptomatic older adults, an increasing emphasis has been placed on preventive measures that can curb or even prevent ADRD development among middle-aged adults. Lifestyle modification using aerobic exercise and dietary modification represents one of the primary treatment modalities used to mitigate ADRD risk, with an increasing number of trials demonstrating that exercise and dietary change, individually and together, improve neurocognitive performance among middle-aged and older adults. Despite several optimistic findings, examination of treatment changes across lifestyle interventions reveals a variable pattern of improvements, with large individual differences across trials. The present review attempts to synthesize available literature linking lifestyle modification to neurocognitive changes, outline putative mechanisms of treatment improvement, and discuss discrepant trial findings. In addition, previous mechanistic assumptions linking lifestyle to neurocognition are discussed, with a focus on potential solutions to improve our understanding of individual neurocognitive differences in response to lifestyle modification. Specific recommendations include integration of contemporary causal inference approaches for analyzing parallel mechanistic pathways and treatment-exposure interactions. Methodological recommendations include trial multiphase optimization strategy (MOST) design approaches that leverage individual differences for improved treatment outcomes.
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Affiliation(s)
- Patrick J. Smith
- Department of Psychiatry and Behavioral Sciences (Primary), Duke University Medical Center, NC, USA
- Department of Medicine (Secondary), Duke University Medical Center, NC, USA
- Department of Population Health Sciences (Secondary), Duke University, NC, USA
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18
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Wu Y, Ye L, Yuan Y, Jiang T, Guo X, Wang Z, Xu K, Xu Z, Liu Y, Zhong X, Ye J, Zhang H, Li X, Xiao J. Autophagy Activation is Associated with Neuroprotection in Diabetes-associated Cognitive Decline. Aging Dis 2019; 10:1233-1245. [PMID: 31788335 PMCID: PMC6844589 DOI: 10.14336/ad.2018.1024] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Accepted: 10/24/2018] [Indexed: 12/15/2022] Open
Abstract
Autophagy is a lysosome-dependent cellular catabolic mechanism that mediates the turnover of dysfunctional organelles and aggregated proteins. It has a neuroprotective role on neurodegenerative diseases. Here, we hypothesized that autophagy may also have a neuroprotective role in diabetes-associated cognitive decline (DACD). In current study, we found that db/db mice display cognitive decline with inferior learning and memory function. The accumulation of β-amyloid1-42 (Aβ1-42), which is a characteristic of Alzheimer's disease (AD), was markedly higher in the prefrontal cortex (PFC), cornu ammon1 (CA1), and dentate gyrus (DG) areas of the hippocampus in db/db mice. Moreover, BDNF and microtubule associated protein 2 (MAP2) levels were lower in the hippocampus of db/db mice. However, there was no noticeable differences in the level of apoptosis in the hippocampus between control (CON) mice and db/db mice. Markers of autophagy in the hippocampus were elevated in db/db mice. The expression levels of ATG5, ATG7, and LC3B were higher, and the level of P62 was lower. An autophagy inhibitor, 3-MA, and ATG7 siRNA significantly reversed the activation of autophagy in vitro, which was accompanied with a higher level of apoptosis. Taken together, our current study suggests that diabetes is associated with cognitive decline, and activation of autophagy has a neuroprotective role in DACD.
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Affiliation(s)
- Yanqing Wu
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
- The Institute of Life Sciences, Wenzhou University, Wenzhou, Zhejiang, China
| | - Libing Ye
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yuan Yuan
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ting Jiang
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xin Guo
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhouguang Wang
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ke Xu
- The Institute of Life Sciences, Wenzhou University, Wenzhou, Zhejiang, China
| | - Zeping Xu
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yanlong Liu
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xingfeng Zhong
- Department of Anesthesia, The First Affiliated Hospital, Gannan Medical University, Jiangxi, China
| | - Junmin Ye
- Department of Anesthesia, The First Affiliated Hospital, Gannan Medical University, Jiangxi, China
| | - Hongyu Zhang
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiaokun Li
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jian Xiao
- Molecular Pharmacology Research Center, School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, Zhejiang, China
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19
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Carmichael O, Stuchlik P, Pillai S, Biessels GJ, Dhullipudi R, Madden-Rusnak A, Martin S, Hsia DS, Fonseca V, Bazzano L. High-Normal Adolescent Fasting Plasma Glucose Is Associated With Poorer Midlife Brain Health: Bogalusa Heart Study. J Clin Endocrinol Metab 2019; 104:4492-4500. [PMID: 31058974 PMCID: PMC6736207 DOI: 10.1210/jc.2018-02750] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 04/30/2019] [Indexed: 12/24/2022]
Abstract
CONTEXT It is unclear how adolescent glycemic status relates to brain health in adulthood. OBJECTIVE To assess the association between adolescent fasting plasma glucose (FPG) and MRI-based brain measures in midlife. DESIGN Between 1973 and 1992, the Bogalusa Heart Study (BHS) collected FPG from children, 3 to 18 years old, and followed up between 1992 and 2018. Cognitive tests and brain MRI were collected in 2013 to 2016 and 2018. SETTING Observational longitudinal cohort study. PARTICIPANTS Of 1298 contacted BHS participants, 74 completed screening, and 50 completed MRI. MAIN OUTCOME MEASURES Mean FPG per participant at ages <20, 20 to 40, and over 40 years old; brain white matter hyperintensity (WMH) volume, gray matter volume, and functional MRI (fMRI) activation to a Stroop task; tests of logical and working memory, executive function, and semantic fluency. RESULTS At MRI, participants were middle aged (51.3 ± 4.4 years) and predominantly female (74%) and white (74%). Mean FPG was impaired for zero, two, and nine participants in pre-20, 20 to 40, and over-40 periods. The pre-20 mean FPG above the pre-20 median value (i.e., above 83.5 mg/dL) was associated with greater WMH volume [mean difference: 0.029% of total cranial volume, CI: (0.0059, 0.052), P = 0.015] and less fMRI activation [-1.41 units (-2.78, -0.05), P = 0.043] on midlife MRI compared with below-median mean FPG. In controlling for over-40 mean FPG status did not substantially modify the associations. Cognitive scores did not differ by pre-20 mean FPG. CONCLUSIONS High-normal adolescent FPG may be associated with preclinical brain changes in midlife.
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Affiliation(s)
- Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
- Correspondence and Reprint Requests: Owen Carmichael, PhD, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, Louisiana 70808. E-mail:
| | | | | | - Geert-Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, University Utrecht, Utrecht, Netherlands
| | - Ram Dhullipudi
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | | | - Shane Martin
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Vivian Fonseca
- Section of Endocrinology, Tulane University Health Sciences Center, New Orleans, Louisiana
| | - Lydia Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
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20
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McEvoy CT, Leng Y, Peeters GM, Kaup AR, Allen IE, Yaffe K. Interventions involving a major dietary component improve cognitive function in cognitively healthy adults: a systematic review and meta-analysis. Nutr Res 2019; 66:1-12. [PMID: 31022563 DOI: 10.1016/j.nutres.2019.02.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 12/07/2018] [Accepted: 02/27/2019] [Indexed: 01/12/2023]
Abstract
Accumulating evidence suggests a role for diet in promoting brain health. The purpose of this systematic review was to (1) quantitatively assess whether interventions with a major dietary component can enhance cognition in cognitively healthy adults and (2) identify responsive domains of cognition to inform the design of future dietary trials. Electronic databases were systematically searched to find eligible randomized controlled trials that assessed the effect of interventions with a major dietary component on cognitive function or incident dementia in adults without known cognitive impairment. Standardized mean differences (SMDs) (95% confidence interval [CI]) were combined using a random-effects meta-analysis, and tests of homogeneity of variance were calculated. Two trials reported dementia outcomes and were qualitatively described. Fifteen trials encompassing 6480 participants were eligible for meta-analysis. Compared to control, intervention improved performance on measures of global cognition (SMD = 0.14, 95% CI 0.01-0.27, P = .05, I2 76%), executive function (SMD = 0.11, 95% CI 0.04-0.18, P = .003, I2 0%), and processing speed (SMD = 0.12, 95% CI 0.05-0.19, P = .001, I2 0%). There was no effect of intervention on delayed memory (SMD = 0.04, 95% CI -0.02 to 0.09, P = .18, I2 4%). Significant heterogeneity and funnel plot asymmetry were detected for global cognition, but removal of studies with high risk of bias did not change the pooled findings. Current evidence is limited but indicates that diverse interventions improve nonmemory cognitive functions during normal cognitive aging. Measures of executive function and processing speed should be considered as feasible end points in future dietary intervention trials.
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Affiliation(s)
- Claire T McEvoy
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
| | - Yue Leng
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | | | - Allison R Kaup
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Isabel E Allen
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA; Departments of Neurology, and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA; San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
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21
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Shellington EM, Reichert SM, Petrella RJ. Commentary on: "Effects of Regular Physical Activity on the Cognitive Performance of Type 2 Diabetic Patients: A Systematic Review" by Podolski et al. (Metab Syndr Relat Disord 2017;15:481-493). Metab Syndr Relat Disord 2018; 16:255-261. [PMID: 29768089 DOI: 10.1089/met.2018.0021] [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: 11/12/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) imparts an increased risk for cognitive decline, specifically executive function, which is important to maintain for diabetes self-management. There is evidence to suggest that exercise improves cognition in healthy older adults; however, the literature in adults with T2DM is lacking. This commentary is in complement to Podolski et al.'s systematic review evaluating the effects of physical activity on cognitive function in adults with T2DM. We have included eight additional studies and further highlight their conclusions on the heterogeneity of the literature thus far. Three current issues with the literature are as follows: (1) variability in interventions (e.g., aerobic, resistance, lifestyle, and yoga), (2) variability in cognitive outcome measures, and (3) lack of detailed description of the population studied, for example, baseline glycated hemoglobin (A1C) values. Overall, making it difficult to compare these studies and draw final conclusions. Thus, the efficacy for exercise to improve cognition in adults with T2DM is not yet well understood. Potential ways to mitigate these limitations could be for future studies that (1) use robust methodology whenever possible, that is, randomized controlled trials, (2) to follow current guideline-derived exercise recommendations for adults with T2DM, and (3) utilize cognitive outcome measures that are consistent across studies. The hope is that these consistencies in turn will help to determine the efficacy of exercise on cognitive function in adults with T2DM and therefore, allow national organizations to develop recommendations and guidelines for healthcare practitioners to follow.
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Affiliation(s)
- Erin M Shellington
- 1 Department of Kinesiology, Faculty of Health Sciences, Western University , London, Canada
| | - Sonja M Reichert
- 2 Centre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University , London, Canada
| | - Robert J Petrella
- 2 Centre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University , London, Canada
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22
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Zheng F, Yan L, Yang Z, Zhong B, Xie W. HbA 1c, diabetes and cognitive decline: the English Longitudinal Study of Ageing. Diabetologia 2018; 61:839-848. [PMID: 29368156 PMCID: PMC6448974 DOI: 10.1007/s00125-017-4541-7] [Citation(s) in RCA: 142] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 12/08/2017] [Indexed: 02/07/2023]
Abstract
AIMS/HYPOTHESIS The aim of the study was to evaluate longitudinal associations between HbA1c levels, diabetes status and subsequent cognitive decline over a 10 year follow-up period. METHODS Data from wave 2 (2004-2005) to wave 7 (2014-2015) of the English Longitudinal Study of Ageing (ELSA) were analysed. Cognitive function was assessed at baseline (wave 2) and reassessed every 2 years at waves 3-7. Linear mixed models were used to evaluate longitudinal associations. RESULTS The study comprised 5189 participants (55.1% women, mean age 65.6 ± 9.4 years) with baseline HbA1c levels ranging from 15.9 to 126.3 mmol/mol (3.6-13.7%). The mean follow-up duration was 8.1 ± 2.8 years and the mean number of cognitive assessments was 4.9 ± 1.5. A 1 mmol/mol increment in HbA1c was significantly associated with an increased rate of decline in global cognitive z scores (-0.0009 SD/year, 95% CI -0.0014, -0.0003), memory z scores (-0.0005 SD/year, 95% CI -0.0009, -0.0001) and executive function z scores (-0.0008 SD/year, 95% CI -0.0013, -0.0004) after adjustment for baseline age, sex, total cholesterol, HDL-cholesterol, triacylglycerol, high-sensitivity C-reactive protein, BMI, education, marital status, depressive symptoms, current smoking, alcohol consumption, hypertension, CHD, stroke, chronic lung disease and cancer. Compared with participants with normoglycaemia, the multivariable-adjusted rate of global cognitive decline associated with prediabetes and diabetes was increased by -0.012 SD/year (95% CI -0.022, -0.002) and -0.031 SD/year (95% CI -0.046, -0.015), respectively (p for trend <0.001). Similarly, memory, executive function and orientation z scores showed an increased rate of cognitive decline with diabetes. CONCLUSIONS/INTERPRETATION Significant longitudinal associations between HbA1c levels, diabetes status and long-term cognitive decline were observed in this study. Future studies are required to determine the effects of maintaining optimal glucose control on the rate of cognitive decline in people with diabetes.
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Affiliation(s)
- Fanfan Zheng
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Li Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Zhenchun Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Baoliang Zhong
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Wuxiang Xie
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
- Peking University Clinical Research Institute, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, 100191, Beijing, People's Republic of China.
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23
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Bangen KJ, Himali JJ, Beiser AS, Nation DA, Libon DJ, Fox CS, Seshadri S, Wolf PA, McKee AC, Au R, Delano-Wood L. Interaction Between Midlife Blood Glucose and APOE Genotype Predicts Later Alzheimer's Disease Pathology. J Alzheimers Dis 2018; 53:1553-62. [PMID: 27392855 DOI: 10.3233/jad-160163] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Elevated blood glucose and the apolipoprotein (APOE) ɛ4 allele have both been associated with increased dementia risk; however, the neuropathological mechanisms underlying these associations remain unclear. We examined the impact of APOE genotype and midlife blood glucose on post-mortem vascular and Alzheimer's disease (AD) neuropathology. Ninety-four participants from the Framingham Heart Study without diagnosed diabetes underwent health examination at midlife and brain autopsy at death. Histopathological measures of vascular and AD neuropathology were obtained and analyzed. Results demonstrated that, among APOE ɛ4 carriers, elevated blood glucose was associated with more severe AD pathology. There was no such relationship with vascular pathology. In a relatively healthy sample with low vascular risk burden, midlife elevated blood glucose was associated with greater AD pathology among APOE ɛ4 carriers. A better understanding of interactive effects of APOE genotype and vascular risk on neuropathology has implications for identification of individuals at risk for decline and long-term preventive treatment.
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Affiliation(s)
- Katherine J Bangen
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Jayandra J Himali
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - Alexa S Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Daniel A Nation
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - David J Libon
- Department of Geriatrics and Gerontology, Rowan University School of Osteopathic Medicine, Stratford, NJ, USA
| | - Caroline S Fox
- The Framingham Heart Study, Framingham, MA, USA.,Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - Philip A Wolf
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - Ann C McKee
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - Rhoda Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - Lisa Delano-Wood
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA.,Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, CA, USA
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24
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Biessels GJ, Janssen J, van den Berg E, Zinman B, Espeland MA, Mattheus M, Johansen OE. Rationale and design of the CAROLINA® - cognition substudy: a randomised controlled trial on cognitive outcomes of linagliptin versus glimepiride in patients with type 2 diabetes mellitus. BMC Neurol 2018; 18:7. [PMID: 29334906 PMCID: PMC5769408 DOI: 10.1186/s12883-018-1014-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 01/03/2018] [Indexed: 01/16/2023] Open
Abstract
Background Type 2 diabetes mellitus is associated with cognitive dysfunction and an increased risk of dementia. Linagliptin is a glucose-lowering agent of the dipeptidyl peptidase-IV (DPP-IV) inhibitor class that is of particular interest for the prevention of accelerated cognitive decline, because it may potentially benefit the brain through pleiotropic effects, beyond glucose lowering. This paper presents the design of a study that aims to establish if linagliptin is superior to the sulfonylurea glimepiride in the prevention of accelerated cognitive decline in patients with type 2 diabetes mellitus. Methods The cognition substudy is an integral part of the ongoing event-driven, randomised, double blind CARdiOvascular safety of LINAgliptin (CAROLINA®) trial, which evaluates the effect of treatment with linagliptin versus glimepiride on cardiovascular outcomes. CAROLINA® includes patients with type 2 diabetes mellitus with sub-optimal glycaemic control at elevated cardiovascular risk. The substudy will evaluate patients randomised and treated who have a baseline Mini Mental State Examination (MMSE) score ≥ 24, documented years of formal education with at least one valid cognitive assessment at baseline and during follow-up. The primary cognitive outcome is the occurrence of accelerated cognitive decline at the end of follow-up. The two treatment groups will be compared by using a logistic regression. Accelerated cognitive decline is defined as a rate of cognitive decline that falls at or below the 16th percentile of decline for the whole cohort on either the MMSE or a combined score of the trail making and verbal fluency test. Potential confounders are taken into account at an individual patient level, using a regression based index. Discussion Between December 2010 and December 2012, 6042 patients were randomised and treated with either linagliptin (5 mg) or glimepiride (1-4 mg) once daily in CAROLINA®. Cognitive tests were conducted in nearly 4500 participants at baseline and are scheduled for two subsequent assessments, after 160 weeks of follow-up and end of follow-up. This substudy of the ongoing CAROLINA® trial will establish if linagliptin is superior to glimepiride in the prevention of accelerated cognitive decline in patients with type 2 diabetes mellitus. Final results are expected in 2019. Trial registration ClinicalTrials.gov Identifier: NCT 01243424. Electronic supplementary material The online version of this article (10.1186/s12883-018-1014-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, G03.232 Brain Center Rudolf Magnus, University Medical Center, PO Box 85500, 3508, GA, Utrecht, the Netherlands.
| | - Jolien Janssen
- Department of Neurology, G03.232 Brain Center Rudolf Magnus, University Medical Center, PO Box 85500, 3508, GA, Utrecht, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Esther van den Berg
- Department of Neurology, G03.232 Brain Center Rudolf Magnus, University Medical Center, PO Box 85500, 3508, GA, Utrecht, the Netherlands.,Department of Neurology, Erasmus MC - University Medical Center, Rotterdam, the Netherlands
| | - Bernard Zinman
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada, Division of Endocrinology, University of Toronto, Toronto, Canada
| | - Mark A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Michaela Mattheus
- Global biometrics and datamanagement, Boehringer Ingelheim, Ingelheim, Germany
| | - Odd Erik Johansen
- Clinical development, Therapeutic Area Metabolism, Boehringer Ingelheim, Asker, Norway
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25
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Schimming C, Luo X, Zhang C, Sano M. Cognitive performance of older adults in a specialized diabetes clinic. J Diabetes 2017; 9:929-935. [PMID: 27807922 PMCID: PMC6478382 DOI: 10.1111/1753-0407.12503] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 09/30/2016] [Accepted: 10/29/2016] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Diabetes mellitus is a risk factor for cognitive changes, but assessment for cognitive disorders in this population is performed infrequently. The present study examined the frequency of cognitive disorders and patterns of deficit in patients enrolled in a specialized clinic for diabetes. METHODS A cross-sectional study was conducted to assess cognition in Mount Sinai Diabetes Center patients. Thirty eligible subjects aged ≥50 years were assessed and compared with non-diabetic cognitively normal control subjects, as well as non-diabetic subjects with mild cognitive impairment (MCI). The main outcome(s) and measure(s) were obtained through cognitive assessment and diagnosis using the Alzheimer's Disease Centers' uniform data set. RESULTS Forty percent of subjects were newly diagnosed with a cognitive disorder: 10% were diagnosed with dementia and 30% with MCI. Diabetic subjects performed worse on the Mini-Mental State Examination (27.2 vs 28.4; P = 0.0132), list generation (9.5 vs 12.2; P = 0.0190), Trail Making Test, Parts A (70.1 vs 43.0; P < 0.0001) and B (197.2 vs 123.6; P < 0.0001), and the Digit Symbol test (12.7 vs 40.1; P < 0.0001) than cognitively normal individuals. Compared with subjects with MCI (amnestic type), diabetic subjects performed better on tasks of immediate and delayed recall (11.2 vs 7.3 [P = 0.0048] and 8.4 vs. 4.1 [P = 0.0003], respectively). CONCLUSIONS Undiagnosed cognitive disorders are common and underappreciated in patients being treated in a specialized diabetes clinic. It may be important to make cognitive assessment a standard part of patient assessments.
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Affiliation(s)
- Corbett Schimming
- Department of Psychiatry, Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- James J. Peters VA Medical Center, New York, New York, USA
| | - Xiaodong Luo
- Department of Psychiatry, Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- James J. Peters VA Medical Center, New York, New York, USA
| | - Cen Zhang
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mary Sano
- Department of Psychiatry, Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- James J. Peters VA Medical Center, New York, New York, USA
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26
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Macpherson H, Formica M, Harris E, Daly RM. Brain functional alterations in Type 2 Diabetes - A systematic review of fMRI studies. Front Neuroendocrinol 2017; 47:34-46. [PMID: 28687473 DOI: 10.1016/j.yfrne.2017.07.001] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 06/30/2017] [Accepted: 07/02/2017] [Indexed: 02/07/2023]
Abstract
Type 2 Diabetes (T2DM) is emerging as a major global health issue. T2DM can adversely affect cognition and increase dementia risk. This systematic review aimed to examine the functional brain changes that may underlie cognitive dysfunction in adults with T2DM. Studies were restricted to those which used functional magnetic resonance imaging (fMRI). Nineteen independent studies were identified, mostly comprised of middle aged or older adults. Resting-state studies demonstrated that compared to controls, connectivity of the Default Mode Network (DMN) was reduced and the majority of task-based studies identified reduced activation in T2DM patients in regions relevant to task performance. Abnormalities of low frequency spontaneous brain activity were observed, particularly in visual regions. As most studies demonstrated that alterations in fMRI were related to poorer neuropsychological task performance, these results indicate that functional brain abnormalities in T2DM have consequences for cognition.
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Affiliation(s)
- Helen Macpherson
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
| | - Melissa Formica
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia
| | - Elizabeth Harris
- Centre for Human Psychopharmacology, Swinburne University, Hawthorn, VIC, Australia
| | - Robin M Daly
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia
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Areosa Sastre A, Vernooij RWM, González‐Colaço Harmand M, Martínez G. Effect of the treatment of Type 2 diabetes mellitus on the development of cognitive impairment and dementia. Cochrane Database Syst Rev 2017; 6:CD003804. [PMID: 28617932 PMCID: PMC6481422 DOI: 10.1002/14651858.cd003804.pub2] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Prevention of cognitive impairment and dementia is an important public health goal. Epidemiological evidence shows a relationship between cognitive impairment and Type 2 diabetes mellitus. The risk of dementia increases with duration of disease. This updated systematic review investigated the effect on cognitive function of the type of treatment and level of metabolic control in people with Type 2 diabetes. OBJECTIVES To assess the effects of different strategies for managing Type 2 diabetes mellitus on cognitive function and the incidence of dementia. SEARCH METHODS We searched ALOIS (the Specialized Register of the Cochrane Dementia and Cognitive Improvement Group (CDCIG)), the Cochrane Library, MEDLINE, Embase, PsycINFO, CINAHL and LILACS on 15 October 2016. ALOIS contains records from all major health care databases, (CENTRAL, MEDLINE, Embase, PsycINFO, CINAHL, LILACS), as well as from many trials' registers and grey literature sources. SELECTION CRITERIA We included randomised controlled trials (RCTs) which compared two or more different treatments for Type 2 diabetes mellitus and in which cognitive function was measured at baseline and after treatment. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the quality of the included RCTs. We pooled data for comparable trials and estimated the effects of treatment by using risk ratios (RRs) and mean differences (MDs), according to the nature of the outcome. We assessed the quality of the evidence using GRADE methods. MAIN RESULTS We identified seven eligible studies but only four provided data we could include in efficacy analyses. Two of these studies compared intensive versus standard glycaemic control and two compared different pharmacological treatments. All studies were at unclear risk of bias in at least two domains and one large study was at high risk of performance and detection bias.(a) Two studies with 13,934 participants at high cardiovascular risk provided efficacy data on intensive versus standard glycaemic control. A third study with 1791 participants provided additional data on hypoglycaemic episodes and mortality. There is probably no difference between treatment groups in the number of participants who decline by at least 3 points on the Mini-Mental State Examination (MMSE) over five years (RR 0.98, 95% CI 0.88 to 1.08; 1 study; n = 11,140; moderate-quality evidence); and there may also be little or no difference in the incidence of dementia (RR 1.27, 95% CI 0.87 to 1.85; 1 study; n = 11,140; low-quality evidence). From another study, there was probably little or no difference in MMSE score after 40 months (MD -0.01, 95% CI -0.18 to 0.16; 1 study; n = 2794; moderate quality evidence). Participants exposed to the intensive glycaemic control strategy probably experience more episodes of severe hypoglycaemia than those who have standard treatment (RR 2.18, 95% CI 1.52 to 3.14; 2 studies; n = 12,827; moderate-quality evidence). The evidence from these trials suggests that the intensity of glycaemic control may have little or no effect on all-cause mortality (RR 0.99, 95% CI 0.87 to 1.13; 3 studies; n = 15,888; low-quality evidence).(b) One study with 156 participants compared glibenclamide (glyburide) with repaglinide. There may be a small advantage of glibenclamide on global cognitive function measured with the MMSE after 12 months (MD -0.90, 95% CI -1.68 to -0.12; low-quality evidence). No data were reported on the incidence of dementia, hypoglycaemic events or all-cause mortality.(c) One study with 145 participants compared rosiglitazone plus metformin to glibenclamide (glyburide) plus metformin over 24 weeks. It reported only on cognitive subdomains and not on global cognitive function, incidence of MCI or dementia, hypoglycaemic events or all causes of mortality. AUTHORS' CONCLUSIONS We found no good evidence that any specific treatment or treatment strategy for Type 2 diabetes can prevent or delay cognitive impairment. The best available evidence related to the comparison of intensive with standard glycaemic control strategies. Here there was moderate-quality evidence that the strategies do not differ in their effect on global cognitive functioning over 40 to 60 months.
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Affiliation(s)
- Almudena Areosa Sastre
- Hospital Universitario de GetafeGeriatric UnitCarretera de Toledo (Km 12,500)MadridSpain28905 Getafe (Madrid)
| | - Robin WM Vernooij
- Iberoamerican Cochrane CentreC/ Sant Antoni Maria Claret 167BarcelonaBarcelonaSpain08025
| | | | - Gabriel Martínez
- Iberoamerican Cochrane CentreC/ Sant Antoni Maria Claret 167BarcelonaBarcelonaSpain08025
- Universidad de AntofagastaFaculty of Medicine and DentistryAntofagastaChile
- Servicio de Salud AntofagastaAntofagastaChile
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Abstract
This chapter gives an overview of the literature on cognitive dysfunction in adults with type 1 or type 2 diabetes. First, methods to evaluate cognitive functioning and the pattern and severity of cognitive dysfunction in relation to diabetes will be discussed. The reader will note that diabetes is associated with worse cognitive functioning and an increased dementia risk. Next, diabetes-associated abnormalities on brain MRI, including reductions in brain volume - i.e., cerebral atrophy - and vascular lesions, will be addressed. At the group level there are clear relations between these imaging abnormalities and cognitive dysfunction, but at the level of the individual patient these relations are often less clear. Subsequently, risk factors for cognitive performance will be discussed. Evidently, these risk factors are related to diabetes type and the age of the patients involved. For type 1 diabetes, an early age at diabetes onset is the most consistent risk factor, whereas in type 2 diabetes, vascular risk factors and vascular comorbidities are consistent indicators of increased risk. The final section of the chapter addresses possible preventive and treatment measures and implications for daily care.
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Ayadurai S, Hattingh HL, Tee LBG, Md Said SN. A Narrative Review of Diabetes Intervention Studies to Explore Diabetes Care Opportunities for Pharmacists. J Diabetes Res 2016; 2016:5897452. [PMID: 27247949 PMCID: PMC4877480 DOI: 10.1155/2016/5897452] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 04/14/2016] [Indexed: 01/19/2023] Open
Abstract
Background. We conducted a review of current diabetes intervention studies in type 2 diabetes and identified opportunities for pharmacists to deliver quality diabetes care. Methods. A search on randomised controlled trials (RCT) on diabetes management by healthcare professionals including pharmacists published between 2010 and 2015 was conducted. Results and Discussion. Diabetes management includes multifactorial intervention which includes seven factors as outlined in diabetes guidelines, namely, glycaemic, cholesterol and blood pressure control, medication, lifestyle, education, and cardiovascular risk factors. Most studies do not provide evidence that the intervention methods used included all seven factors with exception of three RCT which indicated HbA1c (glycated hemoglobin) reduction range of 0.5% to 1.8%. The varied HbA1C reduction suggests a lack of standardised and consistent approach to diabetes care. Furthermore, the duration of most studies was from one month to two years; therefore long term outcomes could not be established. Conclusion. Although pharmacists' contribution towards improving clinical outcomes of diabetes patients was well documented, the methods used to deliver structured, consistent evidence-based care were not clearly stipulated. Therefore, approaches to achieving long term continuity of care are uncertain. An intervention strategy that encompass all seven evidence-based factors will be useful.
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Affiliation(s)
- Shamala Ayadurai
- Curtin University, School of Pharmacy, Kent Road, Bentley, Perth, WA 6102, Australia
| | - H. Laetitia Hattingh
- Curtin University, School of Pharmacy, Kent Road, Bentley, Perth, WA 6102, Australia
| | - Lisa B. G. Tee
- Curtin University, School of Pharmacy, Kent Road, Bentley, Perth, WA 6102, Australia
| | - Siti Norlina Md Said
- Ministry of Health, Hospital Sultanah Aminah, Jalan Persiaran Abu Bakar Sultan, 80100 Johor Bahru, Johor, Malaysia
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30
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Therapeutic Potential of Antidiabetic Medications in the Treatment of Cognitive Dysfunction and Dementia. Drugs Aging 2016; 33:399-409. [DOI: 10.1007/s40266-016-0375-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Sadanand S, Balachandar R, Bharath S. Memory and executive functions in persons with type 2 diabetes: a meta-analysis. Diabetes Metab Res Rev 2016; 32:132-42. [PMID: 25963303 DOI: 10.1002/dmrr.2664] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Revised: 02/08/2015] [Accepted: 05/05/2015] [Indexed: 12/29/2022]
Abstract
Literature suggests that persons with type 2 diabetes mellitus (T2DM) are at risk for cognitive impairment, hence dementia. Common domains reported to be affected in those with T2DM are memory and executive functions. The extent of influence of T2DM on these domains has varied among studies. A systematic review and meta-analysis was carried out to understand whether sub-domains contributed to the variations observed in published research. We searched 'PubMed', 'ScienceDirect', 'SciVerseHub', 'Psychinfo', 'Proquest' 'Ebsco' and 'J-gate Plus' databases for published studies on cognition and T2DM among persons aged 50 years and older. Memory, executive functions and processing speed domain and sub-domain scores were extracted; effect sizes (Cohen's d) were calculated and analysed. Eight hundred seventeen articles were found. After various levels of filtering, 15 articles met the inclusion criteria for quantitative analyses. The analyses indicated that in comparison to controls, persons with T2DM showed decrements in episodic memory (d = -0.51), logical memory (d = -0.24), sub-domain of executive functions which included phonemic fluency (d = -0.35) and cognitive flexibility (d = 0.52), and speed of processing (d = -0.22). We found no difference in the sub-domains of verbal short-term memory and working memory. The meta-analysis revealed a detrimental effect of T2DM on cognitive sub-domains, namely, episodic memory and cognitive flexibility. There was a trend for the logical memory, phonemic fluency and processing speed to be affected. The analysis indicates that T2DM is a detrimental factor on certain cognitive sub-domains, rendering the person vulnerable to subsequent dementia. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Shilpa Sadanand
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Rakesh Balachandar
- Department of Clinical Neuroscience, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Srikala Bharath
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
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Does Intensive Glucose Control Prevent Cognitive Decline in Diabetes? A Meta-Analysis. Int J Chronic Dis 2015; 2015:680104. [PMID: 26464871 PMCID: PMC4590930 DOI: 10.1155/2015/680104] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2015] [Accepted: 07/16/2015] [Indexed: 12/11/2022] Open
Abstract
Diabetes mellitus is associated with cognitive decline and impaired performance in cognitive function tests among type 1 and type 2 diabetics. Even though the use of tight glucose control has been limited by a reported higher mortality, few reports have assessed the impact of treatment intensity on cognitive function. We conducted a meta-analysis to evaluate if an intensive glucose control in diabetes improves cognitive function, in comparison to standard therapy. We included 7 studies that included type 1 or type 2 diabetics and used standardized tests to evaluate various cognitive function domains. Standardized mean differences (SMDs) were calculated for each domain. We found that type 1 diabetics get no cognitive benefit from a tight glucose control, whereas type 2 diabetics get some benefit on processing speed and executive domains but had worse performances in the memory and attention domains, along with a higher incidence of mortality when using intensive glucose control regimes.
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33
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Tuligenga RH. Intensive glycaemic control and cognitive decline in patients with type 2 diabetes: a meta-analysis. Endocr Connect 2015; 4:R16-24. [PMID: 25712899 PMCID: PMC4419843 DOI: 10.1530/ec-15-0004] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Accepted: 02/23/2015] [Indexed: 12/30/2022]
Abstract
The aim of this meta-analysis was to compare the effect of intensive vs standard glycaemic control on cognitive decline in type 2 diabetic patients. A systematic search of PubMed and ALOIS was conducted from inception up to October 30, 2014. Randomised controlled trials (RCTs) of type 2 diabetic patients comparing the rate of change in cognitive function among participants assigned to intensive vs standard glycaemic control were included. An inverse-variance-weighted random effects model was used to calculate standardised mean differences (SMDs) and 95% CIs. A total of 24 297 patients from five RCTs were included in the meta-analysis. Follow-up ranged from 3.3 to 6.2 years. The result from the pooled analysis showed that intensive glycaemic control was not associated with a slower rate of cognitive decline in patients with type 2 diabetes, compared with standard glycaemic control (SMD=0.02; 95% CI=-0.03 to 0.08) although there was some heterogeneity across individual studies (I(2)=68%, P for heterogeneity=0.01). There are few diabetes control trials including cognitive endpoints and a small number of trials comparing intensive and standard treatment strategies. Currently, intensive glycaemic control should not be recommended for prevention of cognitive decline in patients with type 2 diabetes because there is no evidence of its effectiveness. Moreover, the use of intensive diabetes treatment results in an increase of risk of hypoglycaemia, which is linked to a greater risk of poor cognition.
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Affiliation(s)
- Richard H Tuligenga
- INSERM U1018Centre for Research in Epidemiology and Population Health, Hôpital Paul Brousse, Bât 15/16, 16 Avenue Paul Vaillant Couturier, 94807 Paris, Villejuif Cedex, FranceUniversité Paris SudUMRS 1018 Paris, Villejuif, France INSERM U1018Centre for Research in Epidemiology and Population Health, Hôpital Paul Brousse, Bât 15/16, 16 Avenue Paul Vaillant Couturier, 94807 Paris, Villejuif Cedex, FranceUniversité Paris SudUMRS 1018 Paris, Villejuif, France
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34
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Koekkoek PS, Kappelle LJ, van den Berg E, Rutten GEHM, Biessels GJ. Cognitive function in patients with diabetes mellitus: guidance for daily care. Lancet Neurol 2015; 14:329-40. [PMID: 25728442 DOI: 10.1016/s1474-4422(14)70249-2] [Citation(s) in RCA: 226] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Diabetes mellitus is associated with an increase in the risk of dementia and the proportion of patients who convert from mild cognitive impairment (MCI) to dementia. In addition to MCI and dementia, the stages of diabetes-associated cognitive dysfunction include subtle cognitive changes that are unlikely to affect activities of daily life or diabetes self-management. These diabetes-associated cognitive decrements have structural brain correlates detectable with brain MRI, but usually show little progression over time. Although cognitive decrements do not generally represent a pre-dementia stage in patients below the age of 60-65 years, in older individuals these subtle cognitive changes might represent the earliest stages of a dementia process. Acknowledgment of diabetes-associated cognitive decrements can help to improve understanding of patients' symptoms and guide management. Future challenges are to establish the importance of screening for cognitive impairment in people with diabetes, to identify those at increased risk of accelerated cognitive decline at an early stage, and to develop effective treatments.
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Affiliation(s)
- Paula S Koekkoek
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Netherlands
| | - L Jaap Kappelle
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Netherlands.
| | - Esther van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands
| | - Guy E H M Rutten
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Netherlands
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35
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Glycemia and cognitive function in metabolic syndrome and coronary heart disease. Am J Med 2015; 128:46-55. [PMID: 25220612 PMCID: PMC4306431 DOI: 10.1016/j.amjmed.2014.08.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 08/19/2014] [Accepted: 08/19/2014] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Higher hemoglobin A1c (HbA1c) is associated with lower cognitive function in type 2 diabetes. To determine whether associations persist at lower levels of dysglycemia in patients who have established cardiovascular disease, cognitive performance was assessed in the Targeting INflammation Using SALsalate in CardioVascular Disease (TINSAL-CVD) trial. METHODS The age-adjusted relationships between HbA1c and cognitive performance measured by the Mini-Mental State Examination, Digit Symbol Substitution Test, Rey Auditory Verbal Learning Test, Trail Making Test, and Categorical Verbal Fluency were assessed in 226 men with metabolic syndrome and established stable coronary artery disease. RESULTS Of the participants, 61.5% had normoglycemia, 20.8% had impaired fasting glucose, and 17.7% had type 2 diabetes. HbA1c was associated with cognitive function tests of Digit Symbol Substitution Test, Rey Auditory Verbal Learning Test, Trail Making Test, and Categorical Verbal Fluency (all P < .02), but not the Mini-Mental State Examination. In an age-adjusted model, a 1% (11 mmol/mol) higher HbA1c value was associated with a 5.9 lower Digit Symbol Substitution Test score (95% confidence interval [CI], -9.58 to -2.21; P < .0001); a 2.44 lower Rey Auditory Verbal Learning Test score (95% CI, -4.00 to -0.87; P < .0001); a 15.6 higher Trail Making Test score (95% CI, 5.73 to 25.6; P < .0001); and a 3.71 lower Categorical Verbal Fluency score (95% CI, -6.41 to -1.01; P < .02). In a multivariate model adjusting for age, education, and cardiovascular covariates, HbA1c remained associated with cognitive function tests of Rey Auditory Verbal Learning Test (R(2) = 0.27, P < .0001), Trail Making Test (R(2) = 0.18, P < .0001), and Categorical Verbal Fluency (R(2) = 0.20, P < .0001), although association with the Digit Symbol Substitution Test was reduced. CONCLUSIONS Higher HbA1c is associated with lower cognitive function performance scores across multiple domain tests in men with metabolic syndrome and coronary artery disease. Future studies may demonstrate whether glucose lowering within the normative range improves cognitive health.
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36
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Geijselaers SLC, Sep SJS, Stehouwer CDA, Biessels GJ. Glucose regulation, cognition, and brain MRI in type 2 diabetes: a systematic review. Lancet Diabetes Endocrinol 2015; 3:75-89. [PMID: 25163604 DOI: 10.1016/s2213-8587(14)70148-2] [Citation(s) in RCA: 244] [Impact Index Per Article: 27.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Type 2 diabetes is associated with cognitive dysfunction and structural brain changes. Abnormalities in glucose regulation are involved in several complications related to type 2 diabetes, but their role in these cerebral complications is unclear. We systematically reviewed studies of the association between glucose regulation (glycaemia, hypoglycaemic events, insulin concentration, insulin resistance, and glucose-lowering treatment) and cognitive function and brain abnormalities on MRI in people with type 2 diabetes. The 86 papers included showed that glycaemia, particularly high HbA1c concentration and glucose variability, are negatively associated with cognitive function in people with type 2 diabetes without dementia. However, the strength of this association is weak, and HbA1c generally accounted for less than 10% of the variance in cognition. Importantly, few studies have measured long-term cerebral outcomes, such as dementia and structural brain changes on MRI, and the effect of glucose-lowering treatment on these outcomes. More randomised controlled trials are needed to establish the effect of glucose-lowering treatment on long-term cognitive function in people with type 2 diabetes.
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Affiliation(s)
- Stefan L C Geijselaers
- Department of Internal Medicine and Cardiovascular Research Institute, Maastricht University Medical Center, Maastricht, Netherlands
| | - Simone J S Sep
- Department of Internal Medicine and Cardiovascular Research Institute, Maastricht University Medical Center, Maastricht, Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine and Cardiovascular Research Institute, Maastricht University Medical Center, Maastricht, Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.
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Bornstein NM, Brainin M, Guekht A, Skoog I, Korczyn AD. Diabetes and the brain: issues and unmet needs. Neurol Sci 2014; 35:995-1001. [PMID: 24777546 PMCID: PMC4064119 DOI: 10.1007/s10072-014-1797-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2014] [Accepted: 04/07/2014] [Indexed: 12/17/2022]
Abstract
Diabetes mellitus (DM) is associated with an increased risk of mild cognitive impairment, dementia and stroke. The association between DM and dementia appears to be stronger for vascular cognitive impairment than for Alzheimer’s disease, suggesting cerebrovascular disease may be an important factor in cognitive impairment in DM. Although the exact mechanisms by which DM affects the brain remain unclear, changes to brain vasculature, disturbances of cerebral insulin signaling, insulin resistance, glucose toxicity, oxidative stress, accumulation of advanced glycation end products, hypoglycemic episodes, and alterations in amyloid metabolism may all be involved. Cognitive impairment and dementia associated with DM may also be mediated via vascular risk factors, in particular brain ischemia, the occurrence of which can have an additive or synergistic effect with concomitant neurodegenerative processes. To date, no drug has been approved for the treatment of vascular dementia and there are no specific pharmacological treatments for preventing or reducing cognitive decline in patients with DM. Most focus has been on tighter management of vascular risk factors, although evidence of reduced cognitive decline through reducing blood pressure, lipid-lowering or tighter glycemic control is inconclusive. Tailored, multimodal therapies may be required to reduce the risk of cognitive dysfunction and decline in patients with DM. The use of pleiotropic drugs with multimodal mechanisms of action (e.g., cerebrolysin, Actovegin) may have a role in the treatment of cognitive dysfunction and their use may warrant further investigation in diabetic populations.
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Affiliation(s)
- Natan M Bornstein
- Department of Neurology, Tel Aviv Medical School, Tel Aviv University, Ramat Aviv, 69978, Tel Aviv, Israel
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Magnitude of cognitive dysfunction in adults with type 2 diabetes: a meta-analysis of six cognitive domains and the most frequently reported neuropsychological tests within domains. J Int Neuropsychol Soc 2014; 20:278-91. [PMID: 24555960 PMCID: PMC4132660 DOI: 10.1017/s1355617713001483] [Citation(s) in RCA: 221] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The objectives were to conduct a meta-analysis in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards to determine effect sizes (Cohen's d) for cognitive dysfunction in adults with type 2 diabetes, relative to nondiabetic controls, and to obtain effect sizes for the most commonly reported neuropsychological tests within domains. Twenty-four studies, totaling 26,137 patients (n = 3351 with diabetes), met study inclusion criteria. Small to moderate effect sizes were obtained for five of six domains: motor function (3 studies, n = 2374; d = -0.36), executive function (12 studies, n = 1784; d = -0.33), processing speed (16 studies, n = 3076; d = -0.33), verbal memory (15 studies, n = 4,608; d = -0.28), and visual memory (6 studies, n = 1754; d = -0.26). Effect size was smallest for attention/concentration (14 studies, n = 23,143; d = -0.19). The following tests demonstrated the most notable performance decrements in diabetes samples: Grooved Pegboard (dominant hand) (d = -0.60), Rey Auditory Verbal Learning Test (immediate) (d = -0.40), Trails B (d = -0.39), Rey-Osterreith Complex Figure (delayed) (d = -0.38), Trails A (d = -0.34), and Stroop Part I (d = -0.28). This study provides effect sizes to power future epidemiological and clinical diabetes research studies examining cognitive function and to help inform the selection of neuropsychological tests.
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Biessels GJ, Strachan MWJ, Visseren FLJ, Kappelle LJ, Whitmer RA. Dementia and cognitive decline in type 2 diabetes and prediabetic stages: towards targeted interventions. Lancet Diabetes Endocrinol 2014; 2:246-55. [PMID: 24622755 DOI: 10.1016/s2213-8587(13)70088-3] [Citation(s) in RCA: 382] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Type 2 diabetes is associated with dementia, and also with more slight cognitive decrements. In this Review we discuss trajectories from normal cognition to dementia in people with type 2 diabetes, and explore opportunities for treatment. Slight diabetes-associated cognitive decrements and dementia affect different age groups and show a different evolution. These cognitive entities should therefore not be regarded as a continuum, although their effects might be additive. Vascular damage is a key underlying process in both entities. Glucose-mediated processes and other metabolic disturbances might also have a role. No treatment has been established, but management of vascular risk factors and optimisation of glycaemic control could have therapeutic benefit. We identify possible opportunities for intervention to improve cognitive outcomes in people with type 2 diabetes, and suggest how treatment can be tailored to individual risk profiles and comorbidities.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.
| | | | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, Netherlands
| | - L Jaap Kappelle
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
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40
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Joosten H, van Eersel ME, Gansevoort RT, Bilo HJ, Slaets JP, Izaks GJ. Cardiovascular Risk Profile and Cognitive Function in Young, Middle-Aged, and Elderly Subjects. Stroke 2013; 44:1543-9. [DOI: 10.1161/strokeaha.111.000496] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background and Purpose—
Cognitive decline occurs earlier than previously realized and is already evident at the age of 45. Because cardiovascular risk factors are established risk factors for cognitive decline in old age, we investigated whether cardiovascular risk factors are also associated with cognitive decline in young and middle-aged groups.
Methods—
The cross-sectional study included 3778 participants aged 35 to 82 years (mean age, 54 years) and free of cardiovascular disease and stroke. Cognitive function was measured with the Ruff Figural Fluency Test (RFFT; worst score, 0; best score, 175 points) and the Visual Association Test (VAT; worst score, 0; best score, 12 points). Overall cardiovascular risk was assessed with the Framingham Risk Score (FRS) for general cardiovascular disease (best score, −5; worst score, 33 points).
Results—
Mean RFFT score (SD) was 70 (26) points, median VAT score (interquartile range) was 10 (9–11) points, and mean FRS (SD) was 10 (6) points. Using linear regression analysis adjusting for educational level, RFFT was negatively associated with FRS. RFFT score decreased by 1.54 points (95% confidence interval, −1.66 to −1.44;
P
<0.001) per point increase in FRS. This negative association was not only limited to older age groups, but also found in the young (35–44 years). The main influencing components of the FRS were age (
P
<0.001), diabetes mellitus (
P
=0.001), and smoking (
P
<0.001). Similar results were found for VAT score as outcome measure.
Conclusions—
In this large population–based cohort, a worse overall cardiovascular risk profile was associated with poorer cognitive function. This association was already present in young adults aged 35 to 44 years.
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Affiliation(s)
- Hanneke Joosten
- From Department of Internal Medicine (H.J.), University Center for Geriatric Medicine (M.E.A.E., J.P.J.S., G.J.I.), Department of Nephrology (H.J., R.T.G.), and Alzheimer Center Groningen (J.P.J.S., G.J.I.), University Medical Center Groningen, the University of Groningen, Groningen, The Netherlands; and Department of Internal Medicine, Isala Clinics, Zwolle, The Netherlands (H.J.G.B.)
| | - Marlise E.A. van Eersel
- From Department of Internal Medicine (H.J.), University Center for Geriatric Medicine (M.E.A.E., J.P.J.S., G.J.I.), Department of Nephrology (H.J., R.T.G.), and Alzheimer Center Groningen (J.P.J.S., G.J.I.), University Medical Center Groningen, the University of Groningen, Groningen, The Netherlands; and Department of Internal Medicine, Isala Clinics, Zwolle, The Netherlands (H.J.G.B.)
| | - Ron T. Gansevoort
- From Department of Internal Medicine (H.J.), University Center for Geriatric Medicine (M.E.A.E., J.P.J.S., G.J.I.), Department of Nephrology (H.J., R.T.G.), and Alzheimer Center Groningen (J.P.J.S., G.J.I.), University Medical Center Groningen, the University of Groningen, Groningen, The Netherlands; and Department of Internal Medicine, Isala Clinics, Zwolle, The Netherlands (H.J.G.B.)
| | - Henk J.G. Bilo
- From Department of Internal Medicine (H.J.), University Center for Geriatric Medicine (M.E.A.E., J.P.J.S., G.J.I.), Department of Nephrology (H.J., R.T.G.), and Alzheimer Center Groningen (J.P.J.S., G.J.I.), University Medical Center Groningen, the University of Groningen, Groningen, The Netherlands; and Department of Internal Medicine, Isala Clinics, Zwolle, The Netherlands (H.J.G.B.)
| | - Joris P.J. Slaets
- From Department of Internal Medicine (H.J.), University Center for Geriatric Medicine (M.E.A.E., J.P.J.S., G.J.I.), Department of Nephrology (H.J., R.T.G.), and Alzheimer Center Groningen (J.P.J.S., G.J.I.), University Medical Center Groningen, the University of Groningen, Groningen, The Netherlands; and Department of Internal Medicine, Isala Clinics, Zwolle, The Netherlands (H.J.G.B.)
| | - Gerbrand J. Izaks
- From Department of Internal Medicine (H.J.), University Center for Geriatric Medicine (M.E.A.E., J.P.J.S., G.J.I.), Department of Nephrology (H.J., R.T.G.), and Alzheimer Center Groningen (J.P.J.S., G.J.I.), University Medical Center Groningen, the University of Groningen, Groningen, The Netherlands; and Department of Internal Medicine, Isala Clinics, Zwolle, The Netherlands (H.J.G.B.)
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Koekkoek PS, Rutten GE, van den Berg E, van Sonsbeek S, Gorter KJ, Kappelle LJ, Biessels GJ. The “Test Your Memory” test performs better than the MMSE in a population without known cognitive dysfunction. J Neurol Sci 2013; 328:92-7. [DOI: 10.1016/j.jns.2013.02.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Revised: 02/26/2013] [Accepted: 02/28/2013] [Indexed: 10/27/2022]
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Koekkoek PS, Rutten GEHM, Ruis C, Reijmer YD, van den Berg E, Gorter KJ, Stehouwer CDA, Dekker JM, Nijpels G, Kappelle LJ, Biessels GJ. Mild depressive symptoms do not influence cognitive functioning in patients with type 2 diabetes. Psychoneuroendocrinology 2013; 38:376-86. [PMID: 22818834 DOI: 10.1016/j.psyneuen.2012.06.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2012] [Revised: 06/24/2012] [Accepted: 06/28/2012] [Indexed: 10/28/2022]
Abstract
Type 2 diabetes (T2DM) is associated both with cognitive decrements and depressive symptoms. Since depression in itself has been associated with cognitive decrements we aimed to investigate the influence of depressive symptoms on the relation between T2DM and cognitive functioning. Data were derived from three independent studies on cognitive functioning in patients with T2DM (n=366) and controls without diabetes (n=204), two with longitudinal and one with only cross-sectional assessments. Depressive symptoms were measured with self-report inventories (CES-D or BDI-II). The composite z-score of the domains memory, information-processing speed, and attention and executive function was the primary cognitive outcome measure. Mixed linear regression analyses were used in a stepped approach to compare cognitive functioning between (1) patients with T2DM and controls (cross-sectionally and longitudinally), (2) participants with and without depressive symptoms, separately for patients and controls, and (3) patients and controls after adjustment for depressive symptoms. In addition the mediating effect of depressive symptoms was assessed with a bootstrapping technique. Depressive symptoms were present in 11% of the patients with T2DM and in 7% of controls (p=0.15). Cognitive performance in patients with T2DM was worse than in controls (overall difference composite z-score -0.13). However, T2DM was not associated with accelerated cognitive decline over three years of follow-up relative to controls. Controls with depressive symptoms performed worse than those without depressive symptoms, although not statistically significant. Performance in patients with T2DM with and without depressive symptoms was similar. Adjustment for depressive symptoms and estimation of the mediating effect showed that the difference between patients and controls was not mediated by depressive symptoms. In conclusion, the modest cognitive decrements that are associated with T2DM are not due to the presence of mild depressive symptoms.
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Affiliation(s)
- Paula S Koekkoek
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
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