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Glucose Intolerance, Insulin Resistance, and Pathological Features of Alzheimer Disease in the Baltimore Longitudinal Study of Aging
Open accessAbstract
IMPORTANCE: Peripheral glucose homeostasis has been implicated in the pathogenesis of Alzheimer disease (AD). The relationship among diabetes mellitus, insulin, and AD is an important area of investigation. However, whether cognitive impairment seen in those with diabetes is mediated by excess pathological features of AD or other related abnormalities, such as vascular disease, remains unclear. OBJECTIVE: To investigate the association between serial measures of glucose intolerance and insulin resistance and in vivo brain β-amyloid burden, measured with carbon 11–labeled Pittsburgh Compound B (11C-PiB), and AD pathology at autopsy. DESIGN: Scores calculated from the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) and Braak criteria were correlated with measures of hyperglycemia, hyperinsulinemia, glucose intolerance, and insulin resistance in 197 participants who underwent autopsy after death and who had undergone 2 or more oral glucose tolerance tests (OGTT) using grouped analyses and a continuous mixed-models analysis. The same measures of glucose intolerance and insulin resistance were also correlated with brain 11C-PiB retention in an additional 53 living subjects from the Baltimore Longitudinal Study of Aging neuroimaging study. SETTING: Prospective, serially assessed cohort of community-dwelling subjects. PARTICIPANTS: Cohort 1 consisted of 197 participants enrolled in the Baltimore Longitudinal Study of Aging who had 2 or more OGTTs during life and a complete brain autopsy after death. Cohort 2 consisted of 53 living subjects who had 2 or more OGTTs and underwent brain 11C-PiB positron emission tomography. EXPOSURES: Autopsy and 11C-PiB positron emission tomography. MAIN OUTCOMES AND MEASURES: The correlation of brain markers of AD, including CERAD score, Braak score, and 11C-PiB retention, with serum markers of glucose homeostasis using grouped and continuous mixed-models analyses. RESULTS: We found no significant correlations between measures of brain AD pathology or 11C-PiB β-amyloid load and glucose intolerance or insulin resistance in subjects who had a mean (SD) of 6.4 (3.2) OGTTs during 22.1 (8.0) years of follow-up. Thirty subjects with frank diabetes mellitus who received medications also had AD pathology scores that were similar to those of the cohort as a whole. CONCLUSIONS AND RELEVANCE: In this prospective cohort with multiple assessments of glucose intolerance and insulin resistance, measures of glucose and insulin homeostasis are not associated with AD pathology and likely play little role in AD pathogenesis. Long-term therapeutic trials are important to elucidate this issue.
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“many studies have failed to establish a relationship between systemic insulin resistance or type 2 diabetes and molecular symptoms of neurodegenerative diseases 142”
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Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
Self-citationLinear Mixed Models for Longitudinal Data
Verbeke, G. (1997) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2294-1_3 · Cited by 3,506
Diabetes mellitus and the risk of dementia: The Rotterdam Study
Ott, A., Stolk, R. P., van Harskamp, F., Pols, H. A. P., Hofman, A., & Breteler, M. M. B. (1999) · Neurology · doi:10.1212/wnl.53.9.1937 · Cited by 2,175
Amyloid Precursor Protein Processing and Alzheimer's Disease
O'Brien, R. J., & Wong, P. C. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113613 · Cited by 2,061
Self-citationTalbot, K., Wang, H.-Y., Kazi, H., Han, L.-Y., Bakshi, K. P., Stucky, A., Fuino, R. L., Kawaguchi, K. R., Samoyedny, A. J., Wilson, R. S., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59903 · Cited by 1,871
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Metadata
- Authors
- Thambisetty, M., Metter, E. J., Yang, A., Dolan, H., Marano, C., Zonderman, A. B., Troncoso, J. C., Zhou, Y., Wong, D. F., Ferrucci, L., Egan, J., Resnick, S. M., & O’Brien, R. J.
- Affiliations
- National Institute on Aging (US)
- Johns Hopkins University (US)
- Corresponding author
- O’Brien, Richard J.
- ORCID
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2013-09-01
- Volume
- 70
- Issue
- 9
- Pages
- 1167
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC3934653
- OpenAlex
- W2160143874
- Cited by
- 155
- References
- 37
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 13 · 2023: 9 · 2022: 9 · 2021: 11 · 2020: 14 · 2019: 9 · 2018: 11 · 2017: 20 · 2016: 11 · 2015: 17 · 2014: 19 · 2013: 4
- FWCI
- 12.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (U19AG033655, U01AG033655, P50AG005146, P50AG05146)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- Alzheimer's disease, impaired glucose tolerance, insulin resistance, diabetes mellitus, hyperinsulinemia, hyperglycemia, brain amyloid burden, 11C-PiB PET, autopsy neuropathology, glucose homeostasis, oral glucose tolerance test, Baltimore Longitudinal Study of Aging, vascular disease, cognitive impairment
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Aniline Compounds, Cognition Disorders, Female, Humans, Insulin Resistance, Longitudinal Studies, Male, Prospective Studies, Radionuclide Imaging, Thiazoles, Baltimore, Glucose Intolerance, Benzothiazoles
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