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Original Article

Glucose Levels and Risk of Dementia

Paul K. Crane, M.D., M.P.H., Rod Walker, M.S., Rebecca A. Hubbard, Ph.D., Ge Li, M.D., Ph.D., David M. Nathan, M.D., Hui Zheng, Ph.D., Sebastien Haneuse, Ph.D., Suzanne Craft, Ph.D., Thomas J. Montine, M.D., Ph.D., Steven E. Kahn, M.B., Ch.B., Wayne McCormick, M.D., M.P.H., Susan M. McCurry, Ph.D., James D. Bowen, M.D., and Eric B. Larson, M.D., M.P.H.

N Engl J Med 2013; 369:540-548August 8, 2013DOI: 10.1056/NEJMoa1215740

Abstract

Background

Diabetes is a risk factor for dementia. It is unknown whether higher glucose levels increase the risk of dementia in people without diabetes.

Methods

We used 35,264 clinical measurements of glucose levels and 10,208 measurements of glycated hemoglobin levels from 2067 participants without dementia to examine the relationship between glucose levels and the risk of dementia. Participants were from the Adult Changes in Thought study and included 839 men and 1228 women whose mean age at baseline was 76 years; 232 participants had diabetes, and 1835 did not. We fit Cox regression models, stratified according to diabetes status and adjusted for age, sex, study cohort, educational level, level of exercise, blood pressure, and status with respect to coronary and cerebrovascular diseases, atrial fibrillation, smoking, and treatment for hypertension.

Results

During a median follow-up of 6.8 years, dementia developed in 524 participants (74 with diabetes and 450 without). Among participants without diabetes, higher average glucose levels within the preceding 5 years were related to an increased risk of dementia (P=0.01); with a glucose level of 115 mg per deciliter (6.4 mmol per liter) as compared with 100 mg per deciliter (5.5 mmol per liter), the adjusted hazard ratio for dementia was 1.18 (95% confidence interval [CI], 1.04 to 1.33). Among participants with diabetes, higher average glucose levels were also related to an increased risk of dementia (P=0.002); with a glucose level of 190 mg per deciliter (10.5 mmol per liter) as compared with 160 mg per deciliter (8.9 mmol per liter), the adjusted hazard ratio was 1.40 (95% CI, 1.12 to 1.76).

Conclusions

Our results suggest that higher glucose levels may be a risk factor for dementia, even among persons without diabetes. (Funded by the National Institutes of Health.)

Media in This Article

Figure 1Risk of Incident Dementia Associated with the Average Glucose Level during the Preceding 5 Years, According to the Presence or Absence of Diabetes.
Table 1Baseline Characteristics of the Study Participants.
Article

With the aging of the population, dementia has become a major threat to public health worldwide.1 The rate of obesity is also increasing, with a parallel increase in the rate of diabetes.2 The results of studies assessing the association between obesity or diabetes and the risk of dementia have been mixed.3,4 It is imperative to understand the potential consequences of the obesity and diabetes epidemics for the incidence of dementia.5 Any effects that obesity has on the risk of dementia are likely to include effects on metabolism. We evaluated extensive longitudinal clinical data from a prospective cohort with research-quality case ascertainment to test the hypothesis that glucose levels are associated with the risk of dementia.

Methods

Participants

The Adult Changes in Thought (ACT) study6 initially included 2581 randomly selected dementia-free members of the Group Health Cooperative (hereafter referred to as Group Health), a health care system in Washington State. Participants had to be 65 years of age or older at the time of enrollment, which occurred from 1994 through 1996. An additional 811 participants were enrolled between 2000 and 2002. Participants were invited to return at 2-year intervals for the purpose of identifying incident cases of dementia. The sample for the current study was limited to 2067 participants who had at least one follow-up visit, had been enrolled in Group Health for at least 5 years before study entry, and had at least five measurements of glucose or glycated hemoglobin (measured as hemoglobin A1c or as total glycated hemoglobin, with the latter measurement reflecting an older hemoglobin assay) over the course of 2 or more years before study entry. The demographic characteristics of the ACT study participants who were included in the current study and those who were excluded were similar, although several clinical characteristics were more common among participants in the current study (see Table S1 in the Supplementary Appendix, available with the full text of this article at NEJM.org).

Study Oversight

The study procedures were approved by the institutional review boards of Group Health and the University of Washington, and participants provided written informed consent. The first three authors vouch for the accuracy of the study and the completeness of the data and analysis. Author responsibilities are discussed in the Methods S7 section in the Supplementary Appendix.

Identification of Dementia

Study participants were assessed for dementia every 2 years with the use of the Cognitive Abilities Screening Instrument, for which scores range from 0 to 100 and higher scores indicate better cognitive functioning.7 Patients with scores of 85 or less underwent further clinical and psychometric evaluation, including a battery of neuropsychological tests (see the Methods S1 section in the Supplementary Appendix). The results of these evaluations and laboratory testing and imaging records were then reviewed in a consensus conference. Diagnoses of dementia8 and of probable or possible Alzheimer's disease9 were made on the basis of research criteria. Dementia-free participants continued with scheduled follow-up visits. The incidence date for dementia was recorded as the halfway point between the study visit at which dementia was diagnosed and the previous visit.6

Risk Factors Assessed

Glucose Levels

Clinical data, including measurements of fasting glucose, random measurements of glucose, and measurements of glycated hemoglobin, were captured as computerized laboratory data from 1988 onward. We transformed values for total glycated hemoglobin to hemoglobin A1c values using this formula: hemoglobin A1c=(0.6×total glycated hemoglobin)+1.7. We then transformed the calculated hemoglobin A1c values to daily average glucose values with this formula: daily average glucose=(28.7×hemoglobin A1c)–46.7.10 We combined the recorded glucose values and daily average glucose values derived from glycated hemoglobin values using a hierarchical Bayesian framework (see the Methods S2 section in the Supplementary Appendix) to compute a time-varying estimate of the average glucose level for each participant. This approach creates an estimate of glucose level, weighted by the precision of the measures for glucose and glycated hemoglobin and stabilized with the use of a shrinkage factor to account for the instability of the estimation for participants with relatively few observations. We computed average glucose levels for each participant at study baseline and subsequently in 5-year rolling windows. Our approach to measurement was closely correlated with a simpler way of estimating glucose exposure (see the Methods S3 section and Fig. S6 in the Supplementary Appendix). The analysis included data from study participants for all time frames in which at least one measurement of glucose or glycated hemoglobin was available. Our secondary analyses explicitly considered more recent exposure (average glucose level in the preceding 5 years) as compared with more distant exposure (average glucose level in the period between 5 and 8 years earlier).

Diabetes

We classified participants as having treated diabetes on the basis of diabetes-related medication data from Group Health pharmacy records (Table S2 in the Supplementary Appendix). At least two filled prescriptions per year were required for the classification, with the onset date for treated diabetes defined as the date when the second prescription was filled. Once a participant was classified as having treated diabetes, the classification was retained for the remainder of the study.

Apolipoprotein E Genotype

Data on apolipoprotein E (APOE) genotype were available for 1818 participants (88%). APOE status was determined with the use of published methods11,12 and categorized as the presence or absence of any ε4 alleles.

Other Risk Factors

Risk factors with the potential to confound the relation between glucose levels and dementia were defined with the use of ACT study and Group Health data sources (see the Methods S4 section in the Supplementary Appendix). Exercise level was assessed with the use of questions about types of physical activity and the number of times each was performed in a week. These numbers were totaled, and those who exercised 3 or more days per week were categorized as having regular exercise, as previously reported.13 At each study visit, a research staff member administered a questionnaire that asked participants about their smoking status and whether a doctor had told them they had coronary artery disease, cerebrovascular disease, or hypertension. Blood pressure, measured while the participant was seated, was determined as the average of two measurements on the left arm, with a 5-minute rest period between measurements. Atrial fibrillation was determined with the use of codes 427.3, 427.31, and 427.32 from the International Classification of Diseases, 9th Revision, in accordance with procedures at Group Health. Treatment for hypertension was determined on the basis of Group Health pharmacy data (Table S3 in the Supplementary Appendix).

Statistical Analysis

We used stratified Cox regression models with empirical standard errors to examine the relation between glucose level and incidence of dementia. Age was used as the time axis. Stratification was based on status with respect to diabetes and cerebrovascular disease, which allowed for different baseline hazard functions across these strata in the estimation of model parameters. We controlled for age at study entry, study cohort, sex, educational level, exercise level, blood pressure, and status with respect to coronary artery disease, atrial fibrillation, smoking, and treatment for hypertension.

Glucose levels were incorporated in models with the use of natural cubic splines14 (see the Methods S8 section in the Supplementary Appendix) to allow for a nonlinear association between glycemia and risk of dementia as measured by the log hazard. Separate splines were used in accordance with diabetes status. The statistical significance (at the 0.05 level) of the association between glycemia and risk of dementia was estimated with the use of two-sided Wald tests of the composite hypotheses that all model parameters associated with the splines were equal to 0 (omnibus tests; α=0.05). We assessed the proportional hazards of covariate effects by testing for interactions with (log) time and plotting Schoenfeld residuals.15 All statistical analyses were performed with the use of SAS software, version 9.2 (SAS Institute), and R, version 2.15.1 (R Foundation for Statistical Computing).

We performed several sensitivity analyses, testing for interactions with glucose levels according to sex and age at study entry, investigating clinical data from participants whose data were particularly influential on model results, contracting or expanding the window for calculating the average glucose level (2 or 8 years rather than 5 years), adjusting for the presence of one or more APOE ε4 alleles, changing the parameters of the prior distribution within the Bayesian framework for exposure computation (see the Methods S5 section in the Supplementary Appendix), and making additional modifications to our glucose exposure model to account for prandial status when that was indicated (see the Methods S6 section in the Supplementary Appendix).

Results

Baseline Characteristics

The baseline characteristics of the 2067 study participants are presented in Table 1Table 1Baseline Characteristics of the Study Participants.. There were 35,264 values available for fasting and random glucose levels and 10,208 values available for glycated hemoglobin levels (total glycated hemoglobin or hemoglobin A1c). During the 5 years preceding study enrollment, the median glucose level for participants without diabetes was 101 mg per deciliter (interquartile range, 96 to 108 [5.6 mmol per liter; interquartile range, 5.3 to 6.0]), and the median level for those with diabetes was 175 mg per deciliter (interquartile range, 153 to 198 [9.7 mmol per liter; interquartile range, 8.5 to 11.0]). Distributions of glucose levels throughout the study period are summarized in Table S4 and Fig. S1 in the Supplementary Appendix.

Dementia, Alzheimer's Disease, and Glycemia

Over a median follow-up period of 6.8 years, dementia developed in 524 of the 2067 participants (25.4%), including 450 of the 1724 participants who did not have diabetes at the end of follow-up (26.1%) and 74 of the 343 participants who had diabetes at the end of follow-up (21.6%). A total of 403 participants (19.5%) had probable or possible Alzheimer's disease at the end of follow-up, 55 (2.7%) had dementia from vascular disease, and 66 (3.2%) had dementia from other causes (Table S5 in the Supplementary Appendix).

Associations between average glucose levels in the preceding 5 years and the development of dementia are shown in Table 2Table 2Risk of Incident Dementia Associated with Average Glucose Level over the Preceding 5 Years among Participants without Diabetes and Those with Diabetes. and Figure 1Figure 1Risk of Incident Dementia Associated with the Average Glucose Level during the Preceding 5 Years, According to the Presence or Absence of Diabetes.. Among participants without diabetes, the risk of dementia increased with increasing glucose levels (P=0.01 for the omnibus test). For an average glucose level of 115 mg per deciliter (6.4 mmol per liter), as compared with 100 mg per deciliter (5.5 mmol per liter), the adjusted hazard ratio for dementia was 1.18 (95% confidence interval [CI], 1.04 to 1.33). Among participants with diabetes, those with the highest levels of glucose had an increased risk of dementia (P=0.002). For an average glucose level of 190 mg per deciliter (10.5 mmol per liter), as compared with 160 mg per deciliter (8.9 mmol per liter), the adjusted hazard ratio for dementia was 1.40 (95% CI, 1.12 to 1.76).

Table 3Table 3Risk of Incident Dementia among Participants without and Those with Diabetes, According to Glucose Values Averaged over the Preceding 5 Years and the Period between 5 and 8 Years Earlier. shows the results of analyses of the risk of dementia associated with glucose levels averaged over the preceding 5 years or the period between 5 and 8 years earlier. Average glucose levels were highly correlated for the two time periods (r=0.85). Including glucose levels for both periods in regression models resulted in somewhat attenuated estimates of associations between more recent elevations in glucose levels and risk of dementia.

Sensitivity Analyses

There was no evidence of effect modification according to sex for participants without diabetes (P=0.86 for interaction) or for participants with diabetes (P=0.72 for interaction). Similarly, there was no evidence of effect modification according to age at study entry among participants without diabetes (P=0.84). However, there was a suggestion of possible effect modification according to age at study entry among participants with diabetes, but the effect was not significant (P=0.13). We estimated the hazard ratios for study entry at 70 to 78 years of age for participants with diabetes (Fig. S2 in the Supplementary Appendix). An increased risk associated with both higher and lower glucose levels appeared to be especially prominent among participants who were older at study entry.

Among people without diabetes, no individual participant had data that had a particularly marked influence on model parameter estimates (see the Results S1 section and Fig. S3 in the Supplementary Appendix). Some people with diabetes did have data that had a marked influence on model parameter estimates, and we reviewed their medical records. We repeated our primary analyses after excluding data from one participant with acromegaly (Fig. S4 in the Supplementary Appendix) and after excluding data from that participant and two other participants, each of whom had an atypical natural history of type 2 diabetes (Fig. S5 in the Supplementary Appendix). The exclusion of these data resulted in the near elimination of the suggestion of elevated risk at the lowest glucose levels.

Additional adjustment for the APOE genotype did not change our findings (Table S6 in the Supplementary Appendix). Point estimates were similar when 2-year windows of glucose exposure were used rather than 5-year windows, although the risk of dementia was significant only for participants with diabetes when the 2-year window of glucose exposure was used (Table S7 in the Supplementary Appendix). Results were similar when exposure was estimated assuming more dispersed or less dispersed prior distributions for glucose and hemoglobin A1c (Table S8 in the Supplementary Appendix). Results were similar when we accounted for the differences between fasting and random glucose levels (Table S9 in the Supplementary Appendix).

Discussion

In this prospective, community-based cohort study, we found that higher glucose levels were associated with an increased risk of dementia in populations without and with diabetes. The findings were consistent across a variety of sensitivity analyses. These data suggest that higher levels of glucose may have deleterious effects on the aging brain. Our findings underscore the potential consequences of temporal trends in obesity and diabetes5 and suggest the need for interventions that reduce glucose levels.

Most studies that have investigated associations between glucose metabolism and the risk of dementia have focused on diabetes itself, and they have yielded inconsistent results.4 Other studies have measured levels of glycated hemoglobin16-19 or assessed the results of glucose tolerance tests.20-22 Many of these studies have shown relationships between elevated levels of glycated hemoglobin or postprandial (but not fasting) glucose levels and dementia-related outcomes, such as changes in hippocampal volume on neuroimaging or rates of cognitive decline. To our knowledge, no prior study has evaluated glucose levels as a time-varying phenomenon. Most of the previous studies used categorical exposure variables, such as the presence or absence of diabetes or normal versus impaired glucose tolerance.

In contrast, we used a hierarchical Bayesian model to develop a time-varying estimate of glucose levels (see the Methods S2 section in the Supplementary Appendix). This approach enabled us to incorporate clinically obtained measurements of random and fasting blood glucose and glycated hemoglobin in a single composite estimate of glucose exposure. The extensive clinical laboratory data available and the long-term follow-up of the cohort, in which there were hundreds of cases of dementia, afforded us the opportunity to evaluate the hazards associated with glucose levels using a spline model, which allowed us to evaluate risk across the entire spectrum of observed glucose levels. We found a monotonically increasing association between the glucose level and the risk of dementia among people without diabetes, which suggests that any incremental increase in glucose levels is associated with an increased risk of dementia. We found the same relationship between glycemia and risk of dementia among people with diabetes at the higher end of the range of glucose levels. We also found an inverse association between glucose level and risk of dementia among people with diabetes who had relatively low levels of glucose, although this association appeared to be driven by glucose levels in three participants with atypical courses of type 2 diabetes. Our findings were consistent across many sensitivity analyses, reinforcing our confidence in their reliability.

Higher glucose levels may contribute to an increased risk of dementia through several potential mechanisms, including acute and chronic hyperglycemia and insulin resistance23 and increased microvascular disease of the central nervous system.24-28 Although the development of dementia in people with diabetes could have led to a deterioration in self-care, which in turn may have led to increased glucose levels, the similar relationship between glycemia and dementia in people without diabetes suggests a different causal relationship. The underlying mechanisms of the association between elevated glucose levels and dementia need to be clarified in future studies.

There are several causes of dementia, including Alzheimer's disease, vascular disease, Lewy-body disease, and combinations of these disorders.29 It is difficult to discriminate reliably among these causes, so we chose to focus this assessment on overall dementia.

The strengths of this study include the prospective community-based design, the large sample with minimal attrition, access to extensive clinical laboratory and medical records, prospective ascertainment of cases of dementia with widely used research criteria, and careful sensitivity analyses. Several limitations should be acknowledged. The possibility of confounding by unmeasured or unknown factors cannot be excluded. We were limited to available clinical laboratory measurements obtained at irregular intervals for estimates of glucose levels. Measurements of glucose and glycated hemoglobin were numerous, with an average of 17 measurements of blood glucose and 5 measurements of glycated hemoglobin available per person. We noted large differences in glycemia between people with and those without diabetes. We stratified our analyses according to diabetes status, which was determined on the basis of whether a person was receiving diabetes-related medications. Diabetes was almost certainly present for several years before the initial prescription of such medications, which means that some of the higher glucose values observed among people who were classified as not having diabetes probably reflected diabetes that had not yet been treated with diabetes-related medications. We found that increased risk was associated with higher glucose levels even at the lowest end of the glucose spectrum among people who had not received a diagnosis of diabetes, for whom increased risk was not likely to be a result of undiagnosed diabetes. Our results may not be generalizable to other ethnic groups. Many of our covariates were obtained by self-report.

In conclusion, our data provided evidence that higher glucose levels are associated with an increased risk of dementia.

Supported by a grant (U01 AG 06781, to Dr. Larson) from the National Institutes of Health.

Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

This article was updated on September 26, 2013, at NEJM.org.

Source Information

From the Departments of Medicine (P.K.C., W.M., E.B.L.), Psychiatry and Behavioral Sciences (G.L.), Pathology (T.J.M.), and Psychosocial and Community Health (S.M.M.), University of Washington; the Group Health Research Institute (R.W., R.A.H., E.B.L.); the Department of Medicine, VA Puget Sound Health Care System and University of Washington (S.E.K.); and the Swedish Neuroscience Institute (J.D.B.) — all in Seattle; the Diabetes Center and Department of Medicine (D.M.N.) and the Biostatistics Center (H.Z.), Massachusetts General Hospital and Harvard Medical School; and the Department of Biostatistics, Harvard School of Public Health (S.H.) — all in Boston; and the Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC (S.C.).

Address reprint requests to Dr. Crane at Box 359780, Harborview Medical Center, 325 Ninth Ave., Seattle, WA 98104, or at .

References

References

  1. 1

    Reitz C, Brayne C, Mayeux R. Epidemiology of Alzheimer disease. Nat Rev Neurol 2011;7:137-152
    CrossRef | Web of Science

  2. 2

    Lam DW, LeRoith D. The worldwide diabetes epidemic. Curr Opin Endocrinol Diabetes Obes 2012;19:93-96
    CrossRef | Medline

  3. 3

    Gorelick PB, Scuteri A, Black SE, et al. Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2011;42:2672-2713
    CrossRef | Web of Science | Medline

  4. 4

    Kloppenborg RP, van den Berg E, Kappelle LJ, Biessels GJ. Diabetes and other vascular risk factors for dementia: which factor matters most? A systematic review. Eur J Pharmacol 2008;585:97-108
    CrossRef | Web of Science | Medline

  5. 5

    Arterburn DE, Crane PK, Sullivan SD. The coming epidemic of obesity in elderly Americans. J Am Geriatr Soc 2004;52:1907-1912
    CrossRef | Web of Science | Medline

  6. 6

    Kukull WA, Higdon R, Bowen JD, et al. Dementia and Alzheimer disease incidence: a prospective cohort study. Arch Neurol 2002;59:1737-1746
    CrossRef | Web of Science | Medline

  7. 7

    Teng EL, Hasegawa K, Homma A, et al. The Cognitive Abilities Screening Instrument (CASI): a practical test for cross-cultural epidemiological studies of dementia. Int Psychogeriatr 1994;6:45-58
    CrossRef | Medline

  8. 8

    Diagnostic and statistical manual of mental disorders. 4th ed. Washington, DC: American Psychiatric Association, 1994.

  9. 9

    McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 1984;34:939-944
    CrossRef | Web of Science | Medline

  10. 10

    Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ. Translating the A1C assay into estimated average glucose values. Diabetes Care 2008;31:1473-1478[Erratum, Diabetes Care 2009;32:207.]
    CrossRef | Web of Science | Medline

  11. 11

    Hixson JE, Vernier DT. Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI. J Lipid Res 1990;31:545-548
    Web of Science | Medline

  12. 12

    Emi M, Wu LL, Robertson MA, et al. Genotyping and sequence analysis of apolipoprotein E isoforms. Genomics 1988;3:373-379
    CrossRef | Web of Science | Medline

  13. 13

    Larson EB, Wang L, Bowen JD, et al. Exercise is associated with reduced risk for incident dementia among persons 65 years of age and older. Ann Intern Med 2006;144:73-81
    CrossRef | Web of Science | Medline

  14. 14

    Hastie T, Tibshirani RJ, Freedman J. Elements of statistical learning. New York: Springer, 2001.

  15. 15

    Kalbfleisch JD, Prentice RL. Statistical analysis of failure time data. 2nd ed. Hoboken, NJ: John Wiley, 2002.

  16. 16

    Yaffe K, Blackwell T, Whitmer RA, Krueger K, Barrett Connor E. Glycosylated hemoglobin level and development of mild cognitive impairment or dementia in older women. J Nutr Health Aging 2006;10:293-295
    Medline

  17. 17

    Ravona-Springer R, Moshier E, Schmeidler J, et al. Changes in glycemic control are associated with changes in cognition in non-diabetic elderly. J Alzheimers Dis 2012;30:299-309
    Web of Science | Medline

  18. 18

    Christman AL, Matsushita K, Gottesman RF, et al. Glycated haemoglobin and cognitive decline: the Atherosclerosis Risk in Communities (ARIC) study. Diabetologia 2011;54:1645-1652
    CrossRef | Web of Science | Medline

  19. 19

    Enzinger C, Fazekas F, Matthews PM, et al. Risk factors for progression of brain atrophy in aging: six-year follow-up of normal subjects. Neurology 2005;64:1704-1711
    CrossRef | Web of Science | Medline

  20. 20

    Ohara T, Doi Y, Ninomiya T, et al. Glucose tolerance status and risk of dementia in the community: the Hisayama study. Neurology 2011;77:1126-1134
    CrossRef | Web of Science | Medline

  21. 21

    van den Berg E, de Craen AJ, Biessels GJ, Gussekloo J, Westendorp RG. The impact of diabetes mellitus on cognitive decline in the oldest of the old: a prospective population-based study. Diabetologia 2006;49:2015-2023
    CrossRef | Web of Science | Medline

  22. 22

    Ronnemaa E, Zethelius B, Sundelof J, et al. Glucose metabolism and the risk of Alzheimer's disease and dementia: a population-based 12 year follow-up study in 71-year-old men. Diabetologia 2009;52:1504-1510
    CrossRef | Web of Science | Medline

  23. 23

    Strachan MW. RD Lawrence Lecture 2010: the brain as a target organ in Type 2 diabetes: exploring the links with cognitive impairment and dementia. Diabet Med 2011;28:141-147
    CrossRef | Web of Science | Medline

  24. 24

    Pandini G, Pace V, Copani A, Squatrito S, Milardi D, Vigneri R. Insulin has multiple antiamyloidogenic effects on human neuronal cells. Endocrinology 2013;154:375-387
    CrossRef | Web of Science | Medline

  25. 25

    Bartl J, Meyer A, Brendler S, Riederer P, Grunblatt E. Different effects of soluble and aggregated amyloid beta42 on gene/protein expression and enzyme activity involved in insulin and APP pathways. J Neural Transm 2013;120:113-120
    CrossRef | Web of Science | Medline

  26. 26

    Nalivaeva NN, Beckett C, Belyaev ND, Turner AJ. Are amyloid-degrading enzymes viable therapeutic targets in Alzheimer's disease? J Neurochem 2012;120:Suppl 1:167-185
    CrossRef | Web of Science | Medline

  27. 27

    Candeias E, Duarte AI, Carvalho C, et al. The impairment of insulin signaling in Alzheimer's disease. IUBMB Life 2012;64:951-957
    CrossRef | Web of Science | Medline

  28. 28

    Correia SC, Santos RX, Carvalho C, et al. Insulin signaling, glucose metabolism and mitochondria: major players in Alzheimer's disease and diabetes interrelation. Brain Res 2012;1441:64-78
    CrossRef | Web of Science | Medline

  29. 29

    Sonnen JA, Larson EB, Crane PK, et al. Pathological correlates of dementia in a longitudinal, population-based sample of aging. Ann Neurol 2007;62:406-413
    CrossRef | Web of Science | Medline

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  1. 1

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    CrossRef

  2. 2

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    CrossRef

  3. 3

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  4. 4

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    CrossRef

  5. 5

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    CrossRef

  6. 6

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    CrossRef

  7. 7

    Liselotte van Bloemendaal, Richard G. Ijzerman, Jennifer S. ten Kulve, Frederik Barkhof, Michaela Diamant, Dick J. Veltman, Eelco van Duinkerken. (2016) Alterations in white matter volume and integrity in obesity and type 2 diabetes. Metabolic Brain Disease 31:3, 621-629
    CrossRef

  8. 8

    Hiroyuki Umegaki. (2016) Therapeutic Potential of Antidiabetic Medications in the Treatment of Cognitive Dysfunction and Dementia. Drugs & Aging 33:6, 399-409
    CrossRef

  9. 9

    Amelia Cobo, Luis A. Vázquez, Jesús Reviriego, Leocadio Rodríguez-Mañas. (2016) Impact of frailty in older patients with diabetes mellitus: An overview. Endocrinología y Nutrición 63:6, 291-303
    CrossRef

  10. 10

    Rosa María Salinas, Marcia Hiriart, Isaac Acosta, Ana Luisa Sosa, Martin J. Prince. (2016) Type 2 diabetes mellitus as a risk factor for dementia in a Mexican population. Journal of Diabetes and its Complications
    CrossRef

  11. 11

    Mak Adam Daulatzai. (2016) Cerebral hypoperfusion and glucose hypometabolism: Key pathophysiological modulators promote neurodegeneration, cognitive impairment, and Alzheimer's disease. Journal of Neuroscience Research
    CrossRef

  12. 12

    Amelia Cobo, Luis A. Vázquez, Jesús Reviriego, Leocadio Rodríguez-Mañas. (2016) Impact of frailty in older patients with diabetes mellitus: An overview. Endocrinología y Nutrición (English Edition) 63:6, 291-303
    CrossRef

  13. 13

    Nopporn Thangthaeng, Shibu M. Poulose, Marshall G. Miller, Barbara Shukitt-Hale. (2016) Preserving Brain Function in Aging: The Anti-glycative Potential of Berry Fruit. NeuroMolecular Medicine
    CrossRef

  14. 14

    Timothy M. Hughes, Suzanne Craft. (2016) The role of insulin in the vascular contributions to age-related dementia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 1862, 983-991
    CrossRef

  15. 15

    David Baglietto-Vargas, Jessica Shi, Devin M. Yaeger, Rahasson Ager, Frank M. LaFerla. (2016) Diabetes and Alzheimer’s disease crosstalk. Neuroscience & Biobehavioral Reviews 64, 272-287
    CrossRef

  16. 16

    M. Petrou, C. Davatzikos, M. Hsieh, B.R. Foerster, R.L. Albin, V. Kotagal, M.L. Müller, R.A. Koeppe, W.H. Herman, K.A. Frey, N.I. Bohnen. (2016) Diabetes, Gray Matter Loss, and Cognition in the Setting of Parkinson Disease. Academic Radiology 23:5, 577-581
    CrossRef

  17. 17

    Norbert Stefan, Andreas Fritsche, Fritz Schick, Hans-Ulrich Häring. (2016) Phenotypes of prediabetes and stratification of cardiometabolic risk. The Lancet Diabetes & Endocrinology
    CrossRef

  18. 18

    Subbiah Pugazhenthi, Limei Qin, P. Hemachandra Reddy. (2016) Common neurodegenerative pathways in obesity, diabetes, and Alzheimer's disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
    CrossRef

  19. 19

    Katie L. Anderson, Hilaree N. Frazier, Shaniya Maimaiti, Vikas V. Bakshi, Zana R. Majeed, Lawrence D. Brewer, Nada M. Porter, Ai-Ling Lin, Olivier Thibault. (2016) Impact of Single or Repeated Dose Intranasal Zinc-free Insulin in Young and Aged F344 Rats on Cognition, Signaling, and Brain Metabolism. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, glw065
    CrossRef

  20. 20

    Shahrzad Kharabian Masouleh, Katrin Arélin, Annette Horstmann, Leonie Lampe, Judy A. Kipping, Tobias Luck, Steffi G. Riedel-Heller, Matthias L. Schroeter, Michael Stumvoll, Arno Villringer, Anja Veronica Witte. (2016) Higher body mass index in older adults is associated with lower gray matter volume: implications for memory performance. Neurobiology of Aging 40, 1-10
    CrossRef

  21. 21

    Mark L. Wahlqvist, Meei-Shyuan Lee, Jiunn-Tay Lee, Chih-Cheng Hsu, Yu-Ching Chou, Wen-Hui Fang, Hsiao-Yu Liu, Lili Xiu, Zane B. Andrews. (2016) Cinnamon users with prediabetes have a better fasting working memory: a cross-sectional function study. Nutrition Research 36, 305-310
    CrossRef

  22. 22

    Nobuyuki Kimura. (2016) Diabetes Mellitus Induces Alzheimer’s Disease Pathology: Histopathological Evidence from Animal Models. International Journal of Molecular Sciences 17, 503
    CrossRef

  23. 23

    Paul K. Crane, Laura E. Gibbons, Susan M. McCurry, Wayne McCormick, James D. Bowen, Joshua Sonnen, C. Dirk Keene, Thomas Grabowski, Thomas J. Montine, Eric B. Larson. (2016) Importance of home study visit capacity in dementia studies. Alzheimer's & Dementia 12, 419-426
    CrossRef

  24. 24

    (2016) 2016 Alzheimer's disease facts and figures. Alzheimer's & Dementia 12, 459-509
    CrossRef

  25. 25

    Divya Vanoh, Suzana Shahar, Normah Che Din, Azahadi Omar, Chin Ai Vyrn, Rosdinom Razali, Rahimah Ibrahim, Tengku Aizan Hamid. (2016) Predictors of poor cognitive status among older Malaysian adults: baseline findings from the LRGS TUA cohort study. Aging Clinical and Experimental Research
    CrossRef

  26. 26

    M.-H. Lo, C.-L. Lin, E. Chuang, T.-Y. Chuang, C.-H. Kao. (2016) Association of dementia in patients with benign paroxysmal positional vertigo. Acta Neurologica Scandinavica, n/a-n/a
    CrossRef

  27. 27

    Oleg Zaslavsky, Rod L. Walker, Paul K. Crane, Shelly L. Gray, Eric B. Larson. (2016) Glucose Levels and Risk of Frailty. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, glw024
    CrossRef

  28. 28

    Xianhui Qin, Jianping Li, Yan Zhang, Dafang Chen, Binyan Wang, Mingli He, Jia Fu, Genfu Tang, Yefeng Cai, Xiuli Shi, Xin Xu, Fan Fan Hou, Xiaobin Wang, Yong Huo. (2016) Effect of folic acid supplementation on risk of new-onset diabetes in adults with hypertension in China: Findings from the China Stroke Primary Prevention Trial (CSPPT). Journal of Diabetes 8:2, 286-294
    CrossRef

  29. 29

    Jun Wang, Lan Tan, Jin-tai Yu. (2016) Prevention Trials in Alzheimer’s Disease: Current Status and Future Perspectives. Journal of Alzheimer's Disease 50, 927-945
    CrossRef

  30. 30

    Kristin Prehn, Reiner Jumpertz von Schwartzenberg, Knut Mai, Ulrike Zeitz, A. Veronica Witte, Dierk Hampel, Anna-Maria Szela, Sonja Fabian, Ulrike Grittner, Joachim Spranger, Agnes Flöel. (2016) Caloric Restriction in Older Adults—Differential Effects of Weight Loss and Reduced Weight on Brain Structure and Function. Cerebral Cortex, bhw008
    CrossRef

  31. 31

    Nicole Prinz, Julia Stingl, Albrecht Dapp, Michael D. Denkinger, Peter Fasching, Peter M. Jehle, Sigrun Merger, Steffen Mühldorfer, Urte Pieper, Andreas Schuler, Andrej Zeyfang, Reinhard W. Holl. (2016) High rate of hypoglycemia in 6770 type 2 diabetes patients with comorbid dementia: A multicenter cohort study on 215,932 patients from the German/Austrian diabetes registry. Diabetes Research and Clinical Practice 112, 73-81
    CrossRef

  32. 32

    Mohd Waseem Akhtar, Sara Sanz-Blasco, Nima Dolatabadi, James Parker, Kevin Chon, Michelle S. Lee, Walid Soussou, Scott R. McKercher, Rajesh Ambasudhan, Tomohiro Nakamura, Stuart A. Lipton. (2016) Elevated glucose and oligomeric β-amyloid disrupt synapses via a common pathway of aberrant protein S-nitrosylation. Nature Communications 7, 10242
    CrossRef

  33. 33

    Joao Apostolo, Carol Holland, Matthew D.L. O'Connell, Joanne Feeney, Rafael Tabares-Seisdedos, George Tadros, Elzbieta Campos, Nadine Santos, Deirdre A. Robertson, Maura Marcucci, Isabel Varela-Nieto, Benedicto Crespo-Facorro, Eduard Vieta, Esperanza Navarro-Pardo, Gabriel Selva-Vera, Vicent Balanzá-Martínez, Antonio Cano. (2016) Mild cognitive decline. A position statement of the Cognitive Decline Group of the European Innovation Partnership for Active and Healthy Ageing (EIPAHA). Maturitas 83, 83-93
    CrossRef

  34. 34

    Literaturverzeichnis. 2016:, 223-254.
    CrossRef

  35. 35

    Jenni Lehtisalo, Jaana Lindström, Tiia Ngandu, Miia Kivipelto, Satu Ahtiluoto, Pirjo Ilanne-Parikka, Sirkka Keinänen-Kiukaanniemi, Johan G. Eriksson, Matti Uusitupa, Jaakko Tuomilehto, Jose A. Luchsinger, . (2016) Diabetes, glycaemia, and cognition-a secondary analysis of the Finnish Diabetes Prevention Study. Diabetes/Metabolism Research and Reviews 32:10.1002/dmrr.v32.1, 102-110
    CrossRef

  36. 36

    Tor Atle Rosness, Knut Engedal, Espen Bjertness, Bjørn Heine Strand. (2016) Association Between Random Measured Glucose Levels in Middle and Old Age and Risk of Dementia-Related Death. Journal of the American Geriatrics Society 64:10.1111/jgs.2016.64.issue-1, 156-161
    CrossRef

  37. 37

    Stefan Walter, Jessica R. Marden, Laura D. Kubzansky, Elizabeth R. Mayeda, Paul K. Crane, Shun-Chiao Chang, Marilyn Cornelis, David H. Rehkopf, Shubhabrata Mukherjee, M. Maria Glymour. (2016) Diabetic Phenotypes and Late-Life Dementia Risk. Alzheimer Disease & Associated Disorders 30, 15-20
    CrossRef

  38. 38

    References. 2016:, 353-428.
    CrossRef

  39. 39

    Vincent Yen. . Diabetes in the Elderly. 2016:, 1-9.
    CrossRef

  40. 40

    Erin L. Abner, Peter T. Nelson, Richard J. Kryscio, Frederick A. Schmitt, David W. Fardo, Randall L. Woltjer, Nigel J. Cairns, Lei Yu, Hiroko H. Dodge, Chengjie Xiong, Kamal Masaki, Suzanne L. Tyas, David A. Bennett, Julie A. Schneider, Zoe Arvanitakis. (2016) Diabetes is associated with cerebrovascular but not Alzheimer's disease neuropathology. Alzheimer's & Dementia
    CrossRef

  41. 41

    Kaarin J. Anstey, Kerry Sargent-Cox, Ranmalee Eramudugolla, Dianna J. Magliano, Jonathan E. Shaw. (2015) Association of cognitive function with glucose tolerance and trajectories of glucose tolerance over 12 years in the AusDiab study. Alzheimer's Research & Therapy 7
    CrossRef

  42. 42

    Hiroki Yokoyama, Mayumi Ogawa, Jun Honjo, Shinichiro Okizaki, Daishiro Yamada, Ryushi Shudo, Hitoshi Shimizu, Hirohito Sone, Masakazu Haneda. (2015) Risk factors associated with abnormal cognition in Japanese outpatients with diabetes, hypertension or dyslipidemia. Diabetology International 6, 268-274
    CrossRef

  43. 43

    An-Chun Hwang, Li-Kuo Liu, Wei-Ju Lee, Liang-Yu Chen, Li-Ning Peng, Ming-Hsien Lin, Liang-Kung Chen. (2015) Association of Frailty and Cardiometabolic Risk Among Community-Dwelling Middle-Aged and Older People: Results from the I-Lan Longitudinal Aging Study. Rejuvenation Research 18, 564-572
    CrossRef

  44. 44

    Eugenio Barone, Fabio Di Domenico, Tommaso Cassano, Andrea Arena, Antonella Tramutola, Michele Angelo Lavecchia, Raffaella Coccia, D. Allan Butterfield, Marzia Perluigi. (2015) Impairment of Biliverdin Reductase-A Promotes Brain Insulin Resistance in Alzheimer Disease: A New Paradigm. Free Radical Biology and Medicine
    CrossRef

  45. 45

    Johan Segerstedt, Robert Lundqvist, Mats Eliasson. (2015) Patients with type 1 diabetes in Sweden experience more fatigue than the general population. Journal of Clinical & Translational Endocrinology 2:3, 105-109
    CrossRef

  46. 46

    J Song, S M Kang, E Kim, C-H Kim, H-T Song, J E Lee. (2015) Adiponectin receptor-mediated signaling ameliorates cerebral cell damage and regulates the neurogenesis of neural stem cells at high glucose concentrations: an in vivo and in vitro study. Cell Death and Disease 6, e1844
    CrossRef

  47. 47

    Abimbola A. Akintola, Annette van den Berg, Irmhild Altmann-Schneider, Steffy W. Jansen, Mark A. van Buchem, P. Eline Slagboom, Rudi G. Westendorp, Diana van Heemst, Jeroen van der Grond. (2015) Parameters of glucose metabolism and the aging brain: a magnetization transfer imaging study of brain macro- and micro-structure in older adults without diabetes. AGE 37
    CrossRef

  48. 48

    Michael T. Heneka, Anne Fink, Gabriele Doblhammer. (2015) Effect of pioglitazone medication on the incidence of dementia. Annals of Neurology 78, 284-294
    CrossRef

  49. 49

    B. Pernot, E. Beaufils, C. Hommet, T. Constans, K. Mondon. (2015) Diabète de type 2 et troubles cognitifs : une revue de littérature. NPG Neurologie - Psychiatrie - Gériatrie 15, 219-224
    CrossRef

  50. 50

    Lilian Calderón-Garcidueñas, Maricela Franco-Lira, Amedeo D'Angiulli, Joel Rodríguez-Díaz, Eleonore Blaurock-Busch, Yvette Busch, Chih-kai Chao, Charles Thompson, Partha S. Mukherjee, Ricardo Torres-Jardón, George Perry. (2015) Mexico City normal weight children exposed to high concentrations of ambient PM2.5 show high blood leptin and endothelin-1, vitamin D deficiency, and food reward hormone dysregulation versus low pollution controls. Relevance for obesity and Alzheimer disease. Environmental Research 140, 579-592
    CrossRef

  51. 51

    Jiun-Nong Lin, Cheng-Li Lin, Ming-Chia Lin, Chung-Hsu Lai, Hsi-Hsun Lin, Chih-Hui Yang, Chia-Hung Kao. (2015) Increased Risk of Dementia in Patients With Acute Organophosphate and Carbamate Poisoning. Medicine 94, e1187
    CrossRef

  52. 52

    Nicolas Kunath, Thomas van Groen, David B. Allison, Ashish Kumar, Monique Dozier-Sharpe, Inga Kadish. (2015) Ghrelin agonist does not foster insulin resistance but improves cognition in an Alzheimer’s disease mouse model. Scientific Reports 5, 11452
    CrossRef

  53. 53

    Haya Ascher-Svanum, Yun-Fei Chen, Ann Hake, Kristin Kahle-Wrobleski, Dara Schuster, David Kendall, Robert J Heine. (2015) Cognitive and Functional Decline in Patients With Mild Alzheimer Dementia With or Without Comorbid Diabetes. Clinical Therapeutics 37, 1195-1205
    CrossRef

  54. 54

    Shannon L. Macauley, Molly Stanley, Emily E. Caesar, Steven A. Yamada, Marcus E. Raichle, Ronaldo Perez, Thomas E. Mahan, Courtney L. Sutphen, David M. Holtzman. (2015) Hyperglycemia modulates extracellular amyloid-β concentrations and neuronal activity in vivo. Journal of Clinical Investigation 125, 2463-2467
    CrossRef

  55. 55

    Susan E. Power, Eibhlís M. O’Connor, R. Paul Ross, Catherine Stanton, Paul W. O’Toole, Gerald F. Fitzgerald, Ian B. Jeffery. (2015) Dietary glycaemic load associated with cognitive performance in elderly subjects. European Journal of Nutrition 54, 557-568
    CrossRef

  56. 56

    F. Erbguth. (2015) Diabetes und Gehirn. Der Diabetologe 11, 300-308
    CrossRef

  57. 57

    Mychael V. Lourenco, Sergio T. Ferreira, Fernanda G. De Felice. (2015) Neuronal stress signaling and eIF2α phosphorylation as molecular links between Alzheimer's disease and diabetes. Progress in Neurobiology 129, 37-57
    CrossRef

  58. 58

    Fernanda G. De Felice, Mychael V. Lourenco. (2015) Brain metabolic stress and neuroinflammation at the basis of cognitive impairment in Alzheimer’s disease. Frontiers in Aging Neuroscience 7
    CrossRef

  59. 59

    D. Kopf. (2015) Diabetes mellitus und Demenz. Der Internist 56, 520-526
    CrossRef

  60. 60

    Frank C. van Bussel, Walter H. Backes, Paul A. Hofman, Robert J. van Oostenbrugge, Alfons G. Kessels, Martin P. van Boxtel, Miranda T. Schram, Coen D. Stehouwer, Joachim E. Wildberger, Jacobus F. Jansen. (2015) On the Interplay of Microvasculature, Parenchyma, and Memory in Type 2 Diabetes. Diabetes Care 38, 876-882
    CrossRef

  61. 61

    Francesc Formiga, Leocadio Rodríguez Mañas. (2015) Diabetes, depresión y demencia. Tres «d» interrelacionadas en las personas mayores. Revista Española de Geriatría y Gerontología 50, 107-108
    CrossRef

  62. 62

    V. A. Gault, R. Lennox, P. R. Flatt. (2015) Sitagliptin, a dipeptidyl peptidase-4 inhibitor, improves recognition memory, oxidative stress and hippocampal neurogenesis and upregulates key genes involved in cognitive decline. Diabetes, Obesity and Metabolism 17:10.1111/dom.2015.17.issue-4, 403-413
    CrossRef

  63. 63

    Alan Sinclair, Trisha Dunning, Leocadio Rodriguez-Mañas. (2015) Diabetes in older people: new insights and remaining challenges. The Lancet Diabetes & Endocrinology 3, 275-285
    CrossRef

  64. 64

    Angela Passaro, Edoardo Dalla Nora, Mario L. Morieri, Cecilia Soavi, Juana M. Sanz, Amedeo Zurlo, Renato Fellin, Giovanni Zuliani. (2015) Brain-Derived Neurotrophic Factor Plasma Levels: Relationship With Dementia and Diabetes in the Elderly Population. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 70, 294-302
    CrossRef

  65. 65

    Werner Kern. (2015) Wie schlechte Zuckerwerte dem Gehirn schaden. MMW - Fortschritte der Medizin 157, 63-67
    CrossRef

  66. 66

    (2015) 2015 Alzheimer's disease facts and figures. Alzheimer's & Dementia 11, 332-384
    CrossRef

  67. 67

    Martin Buysschaert, José Luís Medina, Michael Bergman, Avni Shah, Jaqueline Lonier. (2015) Prediabetes and associated disorders. Endocrine 48, 371-393
    CrossRef

  68. 68

    Paula S Koekkoek, L Jaap Kappelle, Esther van den Berg, Guy E H M Rutten, Geert Jan Biessels. (2015) Cognitive function in patients with diabetes mellitus: guidance for daily care. The Lancet Neurology 14, 329-340
    CrossRef

  69. 69

    Francesc Formiga, Ramón Reñe, Manuel Pérez-Maraver. (2015) Dementia and diabetes: Casual or causal relationship?. Medicina Clínica (English Edition) 144, 176-180
    CrossRef

  70. 70

    Alberto Loizzo, Santi M. Spampinato, Andrea Fortuna, Stefano Vella, Fulvia Fabi, Paola Del Basso, Gabriele Campana, Stefano Loizzo. (2015) Antisense versus proopiomelanocortin mRNA reduces vascular risk in a murine model of type-2 diabetes following stress exposure in early post-natal life. Peptides 64, 34-39
    CrossRef

  71. 71

    Francesc Formiga, Ramón Reñe, Manuel Pérez-Maraver. (2015) Demencia y diabetes: ¿relación casual o causal?. Medicina Clínica 144, 176-180
    CrossRef

  72. 72

    Elizabeth Rose Mayeda, Rachel A. Whitmer, Kristine Yaffe. (2015) Diabetes and Cognition. Clinics in Geriatric Medicine 31, 101-115
    CrossRef

  73. 73

    Susan E. Power, Gerald F. Fitzgerald, Ian B. Jeffery. (2015) Response to Letter to the Editor from Dr. Kawada regarding the article Dietary glycaemic load and cognitive performance in elderly subjects. European Journal of Nutrition 54, 159-160
    CrossRef

  74. 74

    Tomoyuki Kawada. (2015) Dietary glycemic load and cognitive performance in elderly subjects. European Journal of Nutrition 54, 157-158
    CrossRef

  75. 75

    Claudio Mauro, Veronica De Rosa, Federica Marelli-Berg, Egle Solito. (2015) Metabolic Syndrome and the Immunological Affair with the Blood–Brain Barrier. Frontiers in Immunology 5
    CrossRef

  76. 76

    Yi Zhou, Rong Fang, Li-Hua Liu, Sheng-Di Chen, Hui-Dong Tang. (2015) Clinical Characteristics for the Relationship between Type-2 Diabetes Mellitus and Cognitive Impairment: A Cross-Sectional Study. Aging and Disease 6, 236
    CrossRef

  77. 77

    Anna Backeström, Sture Eriksson, Lars-Göran Nilsson, Tommy Olsson, Olov Rolandsson. (2015) Glucose but not insulin or insulin resistance is associated with memory performance in middle-aged non-diabetic women: a cross sectional study. Diabetology & Metabolic Syndrome 7, 20
    CrossRef

  78. 78

    S. W. Seto, G. Y. Yang, H. Kiat, A. Bensoussan, Y. W. Kwan, D. Chang. (2015) Diabetes Mellitus, Cognitive Impairment, and Traditional Chinese Medicine. International Journal of Endocrinology 2015, 1-14
    CrossRef

  79. 79

    Marco Mainardi, Salvatore Fusco, Claudio Grassi. (2015) Modulation of Hippocampal Neural Plasticity by Glucose-Related Signaling. Neural Plasticity 2015, 1-10
    CrossRef

  80. 80

    Masaya Higuchi, Randi Chen, Robert D. Abbott, Christina Bell, Lenore Launer, G. Webster Ross, Helen Petrovitch, Kamal Masaki. (2015) Mid-Life Proteinuria and Late-Life Cognitive Function and Dementia in Elderly Men. Alzheimer Disease & Associated Disorders 29, 200-205
    CrossRef

  81. 81

    Alexander G. Schauss. . The Effect of Acai (Euterpe spp.) Fruit Pulp on Brain Health and Performance. 2015:, 179-186.
    CrossRef

  82. 82

    Stefan L C Geijselaers, Simone J S Sep, Coen D A Stehouwer, Geert Jan Biessels. (2015) Glucose regulation, cognition, and brain MRI in type 2 diabetes: a systematic review. The Lancet Diabetes & Endocrinology 3, 75-89
    CrossRef

  83. 83

    J.I. Cuende, C. Lahoz, P. Armario, J. García-Alegría, J. Ena, G. García de Casasola, J.M. Mostaza. (2015) Novedades cardiovasculares 2013/2014. Revista Clínica Española 215, 33-42
    CrossRef

  84. 84

    J.I. Cuende, C. Lahoz, P. Armario, J. García-Alegría, J. Ena, G. García de Casasola, J.M. Mostaza. (2015) Cardiovascular news 2013/2014. Revista Clínica Española (English Edition) 215:1, 33-42
    CrossRef

  85. 85

    Glenn J. Landry, Teresa Liu-Ambrose. (2014) Buying time: a rationale for examining the use of circadian rhythm and sleep interventions to delay progression of mild cognitive impairment to Alzheimer’s disease. Frontiers in Aging Neuroscience 6
    CrossRef

  86. 86

    Grzegorz M. Rdzak, Osama Abdelghany. (2014) Does Insulin Therapy for Type 1 Diabetes Mellitus Protect Against Alzheimer's Disease?. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 34:10.1002/phar.2014.34.issue-12, 1317-1323
    CrossRef

  87. 87

    Felice N Jacka, Gary Sacks, Michael Berk, Steven Allender. (2014) Food policies for physical and mental health. BMC Psychiatry 14:1
    CrossRef

  88. 88

    Xiaoxiao Lv, Xiaoyu Wang, Dawei Huang, Chenggang Niu, Guangming Zeng, Qiuya Niu. (2014) Quantum dots and p-phenylenediamine based method for the sensitive determination of glucose. Talanta 129, 20-25
    CrossRef

  89. 89

    Gilad Twig, Israel Gluzman, Amir Tirosh, Hertzel C. Gerstein, Gal Yaniv, Arnon Afek, Estela Derazne, Dorit Tzur, Avraham Karasik, Barak Gordon, Eyal Fruchter, Gadi Lubin, Assaf Rudich, Tali Cukierman-Yaffe. (2014) Cognitive Function and the Risk for Diabetes Among Young Men. Diabetes Care 37, 2982-2988
    CrossRef

  90. 90

    Fabricio Ferreira de Oliveira, Paulo Henrique Ferreira Bertolucci, Elizabeth Suchi Chen, Marilia Cardoso Smith. (2014) Risk factors for age at onset of dementia due to Alzheimer's disease in a sample of patients with low mean schooling from São Paulo, Brazil. International Journal of Geriatric Psychiatry 29:10.1002/gps.v29.10, 1033-1039
    CrossRef

  91. 91

    Liliana Lozano, Roberto Lara-Lemus, Edgar Zenteno, Noé Alvarado-Vásquez. (2014) The mitochondrial O-linked N-acetylglucosamine transferase (mOGT) in the diabetic patient could be the initial trigger to develop Alzheimer disease. Experimental Gerontology 58, 198-202
    CrossRef

  92. 92

    T. J. Marder, V. L. Flores, N. R. Bolo, W. S. Hoogenboom, D. C. Simonson, A. M. Jacobson, S. E. Foote, M. E. Shenton, R. A. Sperling, G. Musen. (2014) Task-Induced Brain Activity Patterns in Type 2 Diabetes: A Potential Biomarker for Cognitive Decline. Diabetes 63, 3112-3119
    CrossRef

  93. 93

    Trisha Dunning, Sally Savage, Nicole Duggan, Peter Martin. (2014) Palliative and end of life care for people with diabetes: a topical issue. Diabetes Management 4, 449-460
    CrossRef

  94. 94

    Masafumi Ihara, Raj N Kalaria. (2014) Understanding and preventing the development of post-stroke dementia. Expert Review of Neurotherapeutics 14, 1067-1077
    CrossRef

  95. 95

    Joungil Choi, Krish Chandrasekaran, Tyler G. Demarest, Tibor Kristian, Su Xu, Kadambari Vijaykumar, Kevin Geoffrey Dsouza, Nathan R. Qi, Paul J. Yarowsky, Rao Gallipoli, Lauren G. Koch, Gary M. Fiskum, Steven L. Britton, James W. Russell. (2014) Brain diabetic neurodegeneration segregates with low intrinsic aerobic capacity. Annals of Clinical and Translational Neurology 1, 589-604
    CrossRef

  96. 96

    Motoi Nishimura, Mamoru Satoh, Kazuyuki Matsushita, Fumio Nomura. (2014) How proteomic ApoE serotyping could impact Alzheimer’s disease risk assessment: genetic testing by proteomics. Expert Review of Proteomics 11, 405-407
    CrossRef

  97. 97

    Liesel-Ann C. Meusel, Nisha Kansal, Ekaterina Tchistiakova, William Yuen, Bradley J. MacIntosh, Carol E. Greenwood, Nicole D. Anderson. (2014) A systematic review of type 2 diabetes mellitus and hypertension in imaging studies of cognitive aging: time to establish new norms. Frontiers in Aging Neuroscience 6
    CrossRef

  98. 98

    M.N. Braskie, C.P. Boyle, P. Rajagopalan, B.A. Gutman, A.W. Toga, C.A. Raji, R.P. Tracy, L.H. Kuller, J.T. Becker, O.L. Lopez, P.M. Thompson. (2014) Physical activity, inflammation, and volume of the aging brain. Neuroscience 273, 199-209
    CrossRef

  99. 99

    Natan M. Bornstein, Michael Brainin, Alla Guekht, Ingmar Skoog, Amos D. Korczyn. (2014) Diabetes and the brain: issues and unmet needs. Neurological Sciences 35, 995-1001
    CrossRef

  100. 100

    Tali Cukierman-Yaffe. (2014) Diabetes, dysglycemia and cognitive dysfunction. Diabetes/Metabolism Research and Reviews 30:10.1002/dmrr.v30.5, 341-345
    CrossRef

  101. 101

    M. Yarchoan, S. E. Arnold. (2014) Repurposing Diabetes Drugs for Brain Insulin Resistance in Alzheimer Disease. Diabetes 63, 2253-2261
    CrossRef

  102. 102

    F. G. De Felice, S. T. Ferreira. (2014) Inflammation, Defective Insulin Signaling, and Mitochondrial Dysfunction as Common Molecular Denominators Connecting Type 2 Diabetes to Alzheimer Disease. Diabetes 63, 2262-2272
    CrossRef

  103. 103

    Karel Kostev, Franz-Werner Dippel, Wolfgang Rathmann. (2014) Predictors of hypoglycaemia in insulin-treated type 2 diabetes patients in primary care: A retrospective database analysis. Primary Care Diabetes 8:2, 127-131
    CrossRef

  104. 104

    L. Jaime Fitten, Freddy Ortiz, Lynn Fairbanks, George Bartzokis, Po Lu, Eric Klein, Giovanni Coppola, John Ringman. (2014) Younger age of dementia diagnosis in a Hispanic population in southern California. International Journal of Geriatric Psychiatry 29:10.1002/gps.v29.6, 586-593
    CrossRef

  105. 105

    David Perlmutter. (2014) Rethinking Dietary Approaches for Brain Health. Alternative and Complementary Therapies 20, 73-75
    CrossRef

  106. 106

    Suzanne M. de la Monte. (2014) Relationships Between Diabetes and Cognitive Impairment. Endocrinology and Metabolism Clinics of North America 43, 245-267
    CrossRef

  107. 107

    J. T. Kielstein, H.-G. Bernstein. (2014) The reversible part of cognitive impairment in chronic kidney disease: can mice help men break the TEMPOLimit?. Nephrology Dialysis Transplantation 29, 476-478
    CrossRef

  108. 108

    Rachael F.E. Rooney. (2014) Preventing dementia. Current Opinion in Psychiatry 27, 149-157
    CrossRef

  109. 109

    James Wallace. (2014) Calcium dysregulation, and lithium treatment to forestall Alzheimer's disease – a merging of hypotheses. Cell Calcium 55, 175-181
    CrossRef

  110. 110

    Richard H Tuligenga, Aline Dugravot, Adam G Tabák, Alexis Elbaz, Eric J Brunner, Mika Kivimäki, Archana Singh-Manoux. (2014) Midlife type 2 diabetes and poor glycaemic control as risk factors for cognitive decline in early old age: a post-hoc analysis of the Whitehall II cohort study. The Lancet Diabetes & Endocrinology 2:3, 228-235
    CrossRef

  111. 111

    J. Falkowski, T. Atchison, M. DeButte-Smith, M. F. Weiner, S. O'Bryant. (2014) Executive Functioning and the Metabolic Syndrome: A Project FRONTIER Study. Archives of Clinical Neuropsychology 29, 47-53
    CrossRef

  112. 112

    W. S. Hoogenboom, T. J. Marder, V. L. Flores, S. Huisman, H. P. Eaton, J. S. Schneiderman, N. R. Bolo, D. C. Simonson, A. M. Jacobson, M. Kubicki, M. E. Shenton, G. Musen. (2014) Cerebral White Matter Integrity and Resting-State Functional Connectivity in Middle-aged Patients With Type 2 Diabetes. Diabetes 63, 728-738
    CrossRef

  113. 113

    Sergio T. Ferreira, Julia R. Clarke, Theresa R. Bomfim, Fernanda G. De Felice. (2014) Inflammation, defective insulin signaling, and neuronal dysfunction in Alzheimer's disease. Alzheimer's & Dementia 10:1, S76-S83
    CrossRef

  114. 114

    Anthony H Barnett, Maximilian von Eynatten, Sanjay Patel, Hans-Juergen Woerle. (2014) Linagliptin for elderly patients with type 2 diabetes – Authors' reply. The Lancet 383, 307-308
    CrossRef

  115. 115

    Sunmin Park, Da Sol Kim, Suna Kang, Na Rang Moon. (2013) β-Amyloid-induced cognitive dysfunction impairs glucose homeostasis by increasing insulin resistance and decreasing β-cell mass in non-diabetic and diabetic rats. Metabolism 62, 1749-1760
    CrossRef

  116. 116

    Suzanne M de la Monte. (2013) Intranasal insulin therapy for cognitive impairment and neurodegeneration: current state of the art. Expert Opinion on Drug Delivery 10, 1699-1709
    CrossRef

  117. 117

    Fernanda G De Felice. (2013) Connecting Type 2 diabetes to Alzheimer’s disease. Expert Review of Neurotherapeutics 13, 1297-1299
    CrossRef

  118. 118

    (2013) Glucose Levels and Risk of Dementia. New England Journal of Medicine 369:19, 1863-1864
    Free Full Text

  119. 119

    Maliheh Safavi, Alireza Foroumadi, Mohammad Abdollahi. (2013) The importance of synthetic drugs for type 2 diabetes drug discovery. Expert Opinion on Drug Discovery 8, 1339-1363
    CrossRef

  120. 120

    Susan Fitzgerald. (2013) High But Normal Blood Sugar Levels May Have a Negative Effect on Memory. Neurology Today 13, 25-29
    CrossRef

  121. 121

    Susan Fitzgerald. (2013) High Glucose Levels Associated with Increased Risk for Dementia. Neurology Today 13, 20-22
    CrossRef

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