Association of Insulin Resistance With Cerebral Glucose Uptake in Late Middle–Aged Adults at Risk for Alzheimer Disease
Open accessAbstract
IMPORTANCE: Converging evidence suggests that Alzheimer disease (AD) involves insulin signaling impairment. Patients with AD and individuals at risk for AD show reduced glucose metabolism, as indexed by fludeoxyglucose F 18-labeled positron emission tomography (FDG-PET). OBJECTIVES: To determine whether insulin resistance predicts AD-like global and regional glucose metabolism deficits in late middle-aged participants at risk for AD and to examine whether insulin resistance-predicted variation in regional glucose metabolism is associated with worse cognitive performance. DESIGN, SETTING, AND PARTICIPANTS: This population-based, cross-sectional study included 150 cognitively normal, late middle-aged (mean [SD] age, 60.7 [5.8] years) adults from the Wisconsin Registry for Alzheimer's Prevention (WRAP) study, a general community sample enriched for AD parental history. Participants underwent cognitive testing, fasting blood draw, and FDG-PET at baseline. We used the homeostatic model assessment of peripheral insulin resistance (HOMA-IR). Regression analysis tested the statistical effect of HOMA-IR on global glucose metabolism. We used a voxelwise analysis to determine whether HOMA-IR predicted regional glucose metabolism. Finally, predicted variation in regional glucose metabolism was regressed against cognitive factors. Covariates included age, sex, body mass index, apolipoprotein E ε4 genotype, AD parental history status, and a reference region used to normalize regional uptake. MAIN OUTCOMES AND MEASURES: Regional glucose uptake determined using FDG-PET and neuropsychological factors. RESULTS: Higher HOMA-IR was associated with lower global glucose metabolism (β = -0.29; P < .01) and lower regional glucose metabolism across large portions of the frontal, lateral parietal, lateral temporal, and medial temporal lobes (P < .05, familywise error corrected). The association was especially robust in the left medial temporal lobe (R2 = 0.178). Lower glucose metabolism in the left medial temporal lobe predicted by HOMA-IR was significantly related to worse performance on the immediate memory (β = 0.317; t148 = 4.08; P < .001) and delayed memory (β = 0.305; t148 = 3.895; P < .001) factor scores. CONCLUSIONS AND RELEVANCE: Our results show that insulin resistance, a prevalent and increasingly common condition in developed countries, is associated with significantly lower regional cerebral glucose metabolism, which in turn may predict worse memory performance. Midlife may be a critical period for initiating treatments to lower peripheral insulin resistance to maintain neural metabolism and cognitive function.
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IN insulin may support impaired brain glucose turnover in patients with AD and at-risk individuals.
“In addition to improvements in insulin signalling, IN insulin may support impaired brain glucose turnover in patients with AD and at-risk individuals.143,144”
From Intranasal insulin (2021) · cites this paper as [143]
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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 · see citing works
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
A compendium of neuropsychological tests: administration, norms, and commentary
(1991) · Choice Reviews Online · doi:10.5860/choice.29-2400 · Cited by 6,117 · see citing works
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114 · see citing works
Wechsler Adult Intelligence Scale-III
Ryan, J. J., & Lopez, S. J. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1185-4_2 · Cited by 3,680 · see citing works
The Halstead-Reitan neuropsychological test battery: Theory and clinical interpretation
Reitan, R. M., & Wolfson, D. E. (1993) · Medical Entomology and Zoology · Cited by 3,413 · see citing works
Region of interest analysis using an SPM toolbox
Brett, M. (2002) · NeuroImage · Cited by 2,273 · see citing works
Talbot, 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 · see citing works
A Simulation Study of Mediated Effect Measures
MacKinnon, D. P., Warsi, G. M., & Dwyer, J. H. (1995) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3001_3 · Cited by 1,715 · see citing works
Reiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., Thibodeau, S. N., & Osborne, D. (1996) · New England Journal of Medicine · doi:10.1056/nejm199603213341202 · Cited by 1,366 · see citing works
Midlife cardiovascular risk factors and risk of dementia in late life
Whitmer, R. A., Sidney, S., Selby, J., Johnston, S. C., & Yaffe, K. (2005) · Neurology · doi:10.1212/01.wnl.0000149519.47454.f2 · Cited by 1,238 · see citing works
Role of Mitochondrial Dysfunction in Insulin Resistance
Kim, J.-A., Wei, Y., & Sowers, J. R. (2008) · Circulation Research · doi:10.1161/circresaha.107.165472 · Cited by 1,103 · see citing works
Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia
Reiman, E. M., Chen, K., Alexander, G. E., Caselli, R. J., Bandy, D., Osborne, D., Saunders, A. M., & Hardy, J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2635903100 · Cited by 977 · see citing works
Glucose Levels and Risk of Dementia
Crane, P. K., Walker, R., Hubbard, R. A., Li, G., Nathan, D. M., Zheng, H., Haneuse, S., Craft, S., Montine, T. J., Kahn, S. E., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1215740 · Cited by 929 · see citing works
Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET
Herholz, K., Salmon, E., Perani, D., Baron, J.-C., Holthoff, V., Frölich, L., Schönknecht, P., Ito, K., Mielke, R., & Kalbe, E. (2002) · NeuroImage · doi:10.1006/nimg.2002.1208 · Cited by 832 · see citing works
Intranasal insulin improves cognition and modulates β-amyloid in early AD
Reger, M. A., Watson, G. S., Green, P. S., Wilkinson, C. W., Baker, L. D., Cholerton, B., Fishel, M. A., Plymate, S. R., Breitner, J. C. S., DeGroodt, W., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000265401.62434.36 · Cited by 830 · see citing works
A “mitochondrial cascade hypothesis” for sporadic Alzheimer’s disease
Swerdlow, R. H., & Khan, S. M. (2004) · Medical Hypotheses · doi:10.1016/j.mehy.2003.12.045 · Cited by 758 · see citing works
Mitochondrial dysfunction is a trigger of Alzheimer's disease pathophysiology
Moreira, P. I., Carvalho, C., Zhu, X., Smith, M. A., & Perry, G. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2009.10.006 · Cited by 734 · see citing works
Meta-analysis of Alzheimer’s disease risk with obesity, diabetes, and related disorders
Profenno, L. A., Porsteinsson, A. P., & Faraone, S. V. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.02.013 · Cited by 718 · see citing works
Baker, L. D., Cross, D. J., Minoshima, S., Belongia, D., Watson, G. S., & Craft, S. (2011) · Archives of Neurology · doi:10.1001/archneurol.2010.225 · Cited by 639 · see citing works
Alexander, G. E., Chen, K., Pietrini, P., Rapoport, S. I., & Reiman, E. M. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.5.738 · Cited by 532 · see citing works
Insulin resistance and endothelial dysfunction: the road map to cardiovascular diseases
Cersósimo, E., & DeFronzo, R. A. (2006) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.634 · Cited by 525 · see citing works
Claxton, A., Baker, L. D., Hanson, A., Trittschuh, E. H., Cholerton, B., Morgan, A., Callaghan, M., Arbuckle, M., Behl, C., & Craft, S. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-141791 · Cited by 467 · see citing works
Insulin resistance as the core defect in type 2 diabetes mellitus
Goldstein, B. J. (2002) · The American Journal of Cardiology · doi:10.1016/s0002-9149(02)02553-5 · Cited by 432 · see citing works
Hill, J. M., Lesniak, M. A., Pert, C. B., & Roth, J. (1986) · Neuroscience · doi:10.1016/0306-4522(86)90082-5 · Cited by 413 · see citing works
Reiman, E. M., Chen, K., Alexander, G. E., Caselli, R. J., Bandy, D., Osborne, D., Saunders, A. M., & Hardy, J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500579102 · Cited by 401 · see citing works
Insulin resistance and Alzheimer's disease
De La Monte, S. M. (2009) · BMB Reports · doi:10.5483/bmbrep.2009.42.8.475 · Cited by 392 · see citing works
Convit, A., Wolf, O. T., Tarshish, C., & de Leon, M. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0336073100 · Cited by 347 · see citing works
Reduced hippocampal metabolism in MCI and AD
Mosconi, L., Tsui, W. H., Santi, S. D., Li, J., Rusinek, H., Convit, A. J., Li, Y., Boppana, M., & de Leon, M. J. (2005) · Neurology · doi:10.1212/01.wnl.0000163856.13524.08 · Cited by 335 · see citing works
Insulin metabolism and the risk of Alzheimer disease: The Rotterdam Study
Schrijvers, E. M. C., Witteman, J. C. M., Sijbrands, E. J. G., Hofman, A., Koudstaal, P. J., & Breteler, M. M. B. (2010) · Neurology · doi:10.1212/wnl.0b013e3181ffe4f6 · Cited by 328 · see citing works
Amyloid vs FDG-PET in the differential diagnosis of AD and FTLD
Rabinovici, G. D., Rosen, H. J., Alkalay, A., Kornak, J., Furst, A. J., Agarwal, N., Mormino, E. C., O'Neil, J. P., Janabi, M., Karydas, A., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31823b9c5e · Cited by 318 · see citing works
Distribution of insulin receptor-like immunoreactivity in the rat forebrain
Unger, J. W., McNeill, T. H., Moxley, R. T., White, M. F., Moss, A., & Livingston, J. N. (1989) · Neuroscience · doi:10.1016/0306-4522(89)90036-5 · Cited by 294 · see citing works
Mid- and Late-Life Diabetes in Relation to the Risk of Dementia
Xu, W., Qiu, C., Gatz, M., Pedersen, N. L., Johansson, B., & Fratiglioni, L. (2009) · Diabetes · doi:10.2337/db08-0586 · Cited by 284 · see citing works
Insulin resistance predicts brain amyloid deposition in late middle‐aged adults
Willette, A. A., Johnson, S. C., Birdsill, A. C., Sager, M. A., Christian, B., Baker, L. D., Craft, S., Oh, J. M., Statz, E. H., Hermann, B. P., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.03.011 · Cited by 262 · see citing works
Self-citationMaternal family history of Alzheimer's disease predisposes to reduced brain glucose metabolism
Mosconi, L., Brys, M., Switalski, R., Mistur, R., Glodzik, L., Pirraglia, E., Tsui, W., De Santi, S., & de Leon, M. J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705036104 · Cited by 237 · see citing works
A Validation Study of the Dementia Questionnaire
Kawas, C. H., Segal, J., Stewart, W. F., Corrada, M. M., & Thal, L. J. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210073015 · Cited by 231 · see citing works
Sager, M. A., Hermann, B. P., & Rue, A. L. (2005) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988705281882 · Cited by 224 · see citing works
Self-citationInsulin Resistance, Brain Atrophy, and Cognitive Performance in Late Middle–Aged Adults
Willette, A. A., Xu, G., Johnson, S. C., Birdsill, A. C., Jonaitis, E. M., Sager, M. A., Hermann, B. P., Rue, A. L., Asthana, S., & Bendlin, B. B. (2012) · Diabetes Care · doi:10.2337/dc12-0922 · Cited by 220 · see citing works
Self-citationFractionating verbal episodic memory in Alzheimer's disease
Wolk, D. A., & Dickerson, B. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.005 · Cited by 203 · see citing works
FDG PET and Differential Diagnosis of Dementia
Herholz, K. (1995) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199505000-00004 · Cited by 201 · see citing works
Mosconi, L., Mistur, R., Switalski, R., Brys, M., Glodzik, L., Rich, K., Pirraglia, E., Tsui, W., De Santi, S., & de Leon, M. J. (2009) · Neurology · doi:10.1212/01.wnl.0000333247.51383.43 · Cited by 188 · see citing works
Insulin resistance and hippocampal volume in women at risk for Alzheimer's disease
Rasgon, N., Kenna, H. A., Wroolie, T., Kelley, R. G., Silverman, D. H. S., Brooks, J. O., Williams, K. E., Powers, B. N., Hallmayer, J. F., & Reiss, A. L. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.12.005 · Cited by 180 · see citing works
Messier, C., & Teutenberg, K. (2005) · Neural Plasticity · doi:10.1155/np.2005.311 · Cited by 168 · see citing works
Apolipoprotein E, not fibrillar β-amyloid, reduces cerebral glucose metabolism in normal aging
Jagust, W. J., Landau, S. M., & Initiative, F. T. A. D. N. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.3266-12.2012 · Cited by 162 · see citing works
Roberts, R. O., Knopman, D. S., Cha, R. H., Mielke, M. M., Pankratz, V. S., Boeve, B. F., Kantarci, K., Geda, Y. E., Jack, C. R., Petersen, R. C., et al. (2014) · Journal of Nuclear Medicine · doi:10.2967/jnumed.113.132647 · Cited by 162 · see citing works
Characterizing Alzheimer's disease using a hypometabolic convergence index
Chen, K., Ayutyanont, N., Langbaum, J. B. S., Fleisher, A., Reschke, C., Lee, W., Liu, X., Bandy, D., Alexander, G. E., Thompson, P. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.049 · Cited by 160 · see citing works
Insulin and Alzheimer's Disease: Untangling the Web
Craft, S., Cholerton, B., & Baker, L. D. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-129042 · Cited by 157 · see citing works
Low cerebral blood flow is associated with lower memory function in metabolic syndrome
Birdsill, A. C., Carlsson, C. M., Willette, A. A., Okonkwo, O. C., Johnson, S. C., Xu, G., Oh, J. M., Gallagher, C. L., Koscik, R. L., Jonaitis, E. M., et al. (2013) · Obesity · doi:10.1002/oby.20170 · Cited by 139 · see citing works
Self-citationKadir, A., Marutle, A., Gonzalez, D., Schöll, M., Almkvist, O., Mousavi, M. T., Mustafiz, T., Darreh‐Shori, T., Nennesmo, I., & Nordberg, A. K. (2010) · Brain · doi:10.1093/brain/awq349 · Cited by 139 · see citing works
Tan, Z. S., Beiser, A., Fox, C. S., Au, R., Himali, J. J., Debette, S., DeCarli, C. S., Vasan, R. S., Wolf, P. A., & Seshadri, S. S. (2011) · Diabetes Care · doi:10.2337/dc11-0308 · Cited by 135 · see citing works
Yakushev, I. Y., Hammers, A., Fellgiebel, A., Schmidtmann, I. M., Scheurich, A., Buchholz, H., Peters, J., Bartenstein, P., Lieb, K., & Schreckenberger, M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.015 · Cited by 130 · see citing works
Willette, A. A., Modanlo, N., Kapogiannis, D., & Initiative, A. D. N. (2015) · Diabetes · doi:10.2337/db14-1507 · Cited by 118 · see citing works
Self-citationJohnson, S. C., La Rue, A., Hermann, B. P., Xu, G., Koscik, R. L., Jonaitis, E. M., Bendlin, B. B., Hogan, K. J., Roses, A. D., Saunders, A. M., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.11.012 · Cited by 112 · see citing works
Self-citationMetabolic Syndrome and Cognitive Decline
Yaffe, K. S. (2007) · Current Alzheimer Research · doi:10.2174/156720507780362191 · Cited by 108 · see citing works
Werther, G. A., Hogg, A., Oldfield, B. J., McKinley, M. J., Figdor, R., & Mendelsohn, F. A. O. (1989) · Journal of Neuroendocrinology · doi:10.1111/j.1365-2826.1989.tb00131.x · Cited by 104 · see citing works
Higher serum glucose levels are associated with cerebral hypometabolism in Alzheimer regions
Burns, C. M., Chen, K., Kaszniak, A. W., Lee, W., Alexander, G. E., Bandy, D. J., Fleisher, A., Caselli, R. J., & Reiman, E. M. (2013) · Neurology · doi:10.1212/wnl.0b013e31828f17de · Cited by 99 · see citing works
Dowling, N. M., Hermann, B. P., Rue, A. L., & Sager, M. A. (2010) · Neuropsychology · doi:10.1037/a0020176 · Cited by 99 · see citing works
Self-citationKoscik, R. L., Rue, A. L., Jonaitis, E. M., Okonkwo, O. C., Johnson, S. C., Bendlin, B. B., Hermann, B. P., & Sager, M. A. (2014) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000355682 · Cited by 87 · see citing works
Self-citationStarks, E. J., O’Grady, J. P., Hoscheidt, S. M., Racine, A. M., Carlsson, C. M., Zetterberg, H., Blennow, K., Okonkwo, O. C., Puglielli, L., Asthana, S., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150072 · Cited by 79 · see citing works
Self-citationMalek‐Ahmadi, M. H., Beach, T. G., Obradov, A., Sue, L. I., Belden, C. M., Davis, K. J., Walker, D. G., Lue, L., Adem, A., & Sabbagh, M. N. (2013) · Current Alzheimer Research · doi:10.2174/15672050113109990006 · Cited by 67 · see citing works
Feng, L., Chong, M. S., Lim, W. S., Lee, T.-S. W., Collinson, S. L., Yap, P. L. K., & Ng, T. P. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-121885 · Cited by 58 · see citing works
Borghammer, P., Aanerud, J., & GJEDDE, A. H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.021 · Cited by 58 · see citing works
Strand, B. H., Langballe, E. M., Hjellvik, V., Handal, M., Næss, Ø., Knudsen, G. P., Refsum, H., Tambs, K., Nafstad, P. H. J., Schirmer, H., et al. (2012) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2012.10.018 · Cited by 52 · see citing works
Brain imaging of cognitively normal individuals with 2 parents affected by late-onset AD
Mosconi, L., Murray, J., Tsui, W. H., Li, Y., Spector, N. C., Goldowsky, A. M., Williams, S., Osorio, R. S., McHugh, P. F., Glodzik, L., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000181 · Cited by 51 · see citing works
Dukart, J., Perneczky, R., Förster, S., Barthel, H., Diehl‐Schmid, J., Draganski, B., Obrig, H., Santarnecchi, E., Drzezga, A. E., Fellgiebel, A., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055415 · Cited by 47 · see citing works
Tosun, D., Mojabi, P., Weiner, M. W., & Schuff, N. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.033 · Cited by 42 · see citing works
Interrelationships of insulin, glucose, lipid and anthropometric data in a natural population
Gibson, T. C., Horton, E., & Whorton, E. B. (1975) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/28.12.1387 · Cited by 15 · see citing works
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Vogt, N. M., Kerby, R. L., Dill-McFarland, K. A., Harding, S. J., Merluzzi, A. P., Johnson, S. C., Carlsson, C. M., Asthana, S., Zetterberg, H., Blennow, K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13601-y · Cited by 2,137 · see citing works
Self-citationBrain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums
Arnold, S. E., Arvanitakis, Z., Macauley-Rambach, S. L., Koenig, A. M., Wang, H.-Y., Ahima, R. S., Craft, S., Gandy, S., Buettner, C., Stoeckel, L. E., et al. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.185 · Cited by 1,597 · see citing works
Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies
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Liu, P., Wu, L., Peng, G., Han, Y., Tang, R., Ge, J., Zhang, L., Jia, L., Yue, S., Zhou, K., et al. (2019) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2019.05.008 · Cited by 669 · see citing works
Circadian Rhythms, Sleep, and Disorders of Aging
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Association between age at diabetes onset and subsequent risk of dementia
Barbiellini Amidei, C., Fayosse, A., Dumurgier, J., Machado-Fragua, M. D., Tabak, A. G., van Sloten, T., Kivimäki, M., Dugravot, A., Sabia, S., & Singh-Manoux, A. (2021) · JAMA · doi:10.1001/jama.2021.4001 · Cited by 355 · see citing works
Can physical exercise in old age improve memory and hippocampal function?
Duzel, E., van Praag, H., & Sendtner, M. (2016) · Brain · doi:10.1093/brain/awv407 · Cited by 329 · see citing works
Diabetes mellitus and Alzheimer's disease: GSK-3β as a potential link
Zhang, Y., Huang, N.-Q., Yan, F., Jin, H., Zhou, S.-Y., Shi, J.-S., & Jin, F. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.11.015 · Cited by 301 · see citing works
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Sheng, C., Lin, L., Lin, H., Wang, X., Han, Y., & Liu, S.-L. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210259 · Cited by 78 · see citing works
D’Cunha, N. M., Georgousopoulou, E. N., Dadigamuwage, L., Kellett, J., Panagiotakos, D. B., Thomas, J., McKune, A. J., Mellor, D. D., & Naumovski, N. (2018) · British Journal of Nutrition · doi:10.1017/s0007114517003452 · Cited by 68 · see citing works
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Rhea, E. M., Leclerc, M., Yassine, H. N., Capuano, A. W., Tong, H., Petyuk, V. A., Macauley, S. L., Fioramonti, X., Carmichael, O., Calon, F., et al. (2023) · Aging and disease · doi:10.14336/ad.2023.0814 · Cited by 70 · see citing works
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Zhang, X., Tong, T., Chang, A., Ang, T. F. A., Tao, Q., Auerbach, S., Devine, S., Qiu, W. Q., Mez, J., Massaro, J., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12641 · Cited by 65 · see citing works
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VanItallie, T. B. (2017) · Metabolism · doi:10.1016/j.metabol.2017.01.014 · Cited by 67 · see citing works
Rebelos, E., Rinne, J. O., Nuutila, P., & Ekblad, L. L. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10071532 · Cited by 66 · see citing works
Barone, E., Head, E., Butterfield, D. A., & Perluigi, M. (2017) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2016.10.508 · Cited by 53 · see citing works
Nutritional interventions for Alzheimer's prevention: a clinical precision medicine approach
Schelke, M. W., Hackett, K., Chen, J. L., Shih, C., Shum, J., Montgomery, M. E., Chiang, G. C., Berkowitz, C., Seifan, A., Krikorian, R., et al. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13070 · Cited by 51 · see citing works
Han, E., Han, K.-D., Lee, B.-W., Kang, E. S., Cha, B.-S., Ko, S.-H., & Lee, Y.-H. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab860 · Cited by 41 · see citing works
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Wang, Y., Li, C., Liang, J., Gao, D., Pan, Y., Zhang, W., Zhang, Y., Zheng, F., & Xie, W. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.02.138 · Cited by 36 · see citing works
Felisatti, F., Gonneaud, J., Palix, C., Garnier-Crussard, A., Mézenge, F., Landeau, B., Chocat, A., Quillard, A., Ferrand-Devouge, E., de La Sayette, V., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200270 · Cited by 26 · see citing works
Letellier, N., Ilango, S. D., Mortamais, M., Tzourio, C., Gabelle, A., Empana, J.-P., Samieri, C., Berr, C., & Benmarhnia, T. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00788-8 · Cited by 21 · see citing works
- Authors
- Willette, A. A., Bendlin, B. B., Starks, E. J., Birdsill, A. C., Johnson, S. C., Christian, B. T., Okonkwo, O. C., La Rue, A., Hermann, B. P., Koscik, R. L., Jonaitis, E. M., Sager, M. A., & Asthana, S.
- Affiliations
- Iowa State University (US)
- University of Wisconsin–Madison (US)
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison
- Corresponding author
- Bendlin, Barbara B.
- ORCID
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2015-09-01
- Volume
- 72
- Issue
- 9
- Pages
- 1013
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC4570876
- OpenAlex
- W1895530546
- Cited by
- 418
- References
- 69
- Citations by year
- 2026: 37 · 2025: 36 · 2024: 35 · 2023: 38 · 2022: 36 · 2021: 46 · 2020: 42 · 2019: 34 · 2018: 26 · 2017: 41 · 2016: 36 · 2015: 11
- FWCI
- 30.67
- 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 (UL1TR000427)
- National Institute on Aging (R01AG037639, P50AG033514, R01AG021155, R01AG027161)
- National Institute of General Medical Sciences (T32GM008692)
- National Center for Research Resources (UL1RR025011)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30HD003352)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- insulin resistance, Alzheimer's disease risk, brain glucose metabolism, HOMA-IR, FDG-PET, medial temporal lobe, memory performance, insulin signaling, middle-aged adults, cognitive aging, Wisconsin Registry for Alzheimer's Prevention, APOE ε4
- MeSH terms
- Aged, Alzheimer Disease, Cerebral Cortex, Cognition Disorders, Cross-Sectional Studies, Diabetes Mellitus, Female, Glucose, Humans, Insulin Resistance, Male, Middle Aged, Statistics as Topic, Fluorodeoxyglucose F18, Positron-Emission Tomography, Ideal Body Weight
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