The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Meta-analysis of Alzheimer’s disease risk with obesity, diabetes, and related disorders
Open accessAbstract
Background Late-onset Alzheimer's disease (AD) is a multifactorial and heterogeneous disorder with major risk factors including advanced age, presence of an apolipoprotein E epsilon4 (APOE4) allele, and family history of AD. Other risk factors may be obesity and diabetes and related disorders, which are highly prevalent.Methods We reviewed longitudinal epidemiological studies of body mass, diabetes, metabolic syndrome, and glucose and insulin levels on risk for AD. We conducted meta-analyses of the results from these studies.Results For obesity assessed by body mass index, the pooled effect size for AD was 1.59 (95% confidence interval [CI] 1.02-2.5; z = 2.0; p = .042), and for diabetes, the pooled effect size for AD was 1.54 (95% CI 1.33-1.79; z = 5.7; p < .001). Egger's test did not find significant evidence for publication bias in the meta-analysis for obesity (t = -1.4, p = .21) or for diabetes (t = -.86, p = .42). Since these disorders are highly comorbid, we conducted a meta-analysis combining all studies of obesity, diabetes, and abnormal glucose or insulin levels, which yielded a highly significant pooled effect size for AD of 1.63 (95% CI 1.39-1.92; z = 5.9; p < .001).Conclusions Obesity and diabetes significantly and independently increase risk for AD. Though the level of risk is less than that with the APOE4 allele, the high prevalence of these disorders may result in substantial increases in future incidence of AD. Physiological changes common to obesity and diabetes plausibly promote AD.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Several comorbidities such as diabetes, hypertension, cardiovascular/renal/hepatic complications, hypogonadotropic hypogonadism, bronchial asthma, and Alzheimer’s disease are associated with obesity [10-13].”
From Bariatric surgery: remission of inflammation, cardiometabolic benefits, and common adverse effects (2020) · cites this paper as [13]
In the citing paper
“Obesity and insulin resistance are significant risk factors for Alzheimer’s disease [13] (Fig. 1).”
From Bariatric surgery: remission of inflammation, cardiometabolic benefits, and common adverse effects (2020) · cites this paper as [13]
Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
ON ESTIMATING THE RELATION BETWEEN BLOOD GROUP AND DISEASE
Woolf, B. (1955) · Annals of Human Genetics · doi:10.1111/j.1469-1809.1955.tb01348.x · Cited by 2,724
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
Adipocytes as regulators of energy balance and glucose homeostasis
Rosen, E. D., & Spiegelman, B. M. (2006) · Nature · doi:10.1038/nature05483 · Cited by 2,170
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database
Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., & Tanzi, R. E. (2007) · Nature Genetics · doi:10.1038/ng1934 · Cited by 1,857
Twenty years of the Alzheimer's disease amyloid hypothesis: a genetic perspective
Tanzi, R. E., & Bertram, L. (2005) · Cell · doi:10.1016/j.cell.2005.02.008 · Cited by 1,849
Obesity and Vascular Risk Factors at Midlife and the Risk of Dementia and Alzheimer Disease
Kivipelto, M., Ngandu, T., Fratiglioni, L., Viitanen, M., Kåreholt, I., Winblad, B., Helkala, E.-L., Tuomilehto, J., Soininen, H., & Nissinen, A. (2005) · Archives of Neurology · doi:10.1001/archneur.62.10.1556 · Cited by 1,291
Diabetes mellitus and risk of Alzheimer disease and decline in cognitive function
Arvanitakis, Z., Wilson, R. S., Bienias, J. L., Evans, D. A., & Bennett, D. A. (2004) · Archives of Neurology · doi:10.1001/archneur.61.5.661 · Cited by 1,258
Cited by
Sorted by citations
Items 301–400 of 718
The role of melatonin in the onset and progression of type 3 diabetes
Song, J., Whitcomb, D. J., & Kim, B. C. (2017) · Molecular Brain · doi:10.1186/s13041-017-0315-x · Cited by 28
Liraglutide for psychiatric disorders: clinical evidence and challenges
Camkurt, M. A., Lavagnino, L., Zhang, X. Y., & Teixeira, A. L. (2018) · Hormone Molecular Biology and Clinical Investigation · doi:10.1515/hmbci-2018-0031 · Cited by 27
Vásquez, E., Udo, T., Corsino, L., & Shaw, B. A. (2019) · Journal of Nutrition in Gerontology and Geriatrics · doi:10.1080/21551197.2019.1572569 · Cited by 27
Acute exercise and brain BACE 1 protein content: a time course study
Yang, A. J. T., Hayward, G. C., & MacPherson, R. E. K. (2019) · Physiological Reports · doi:10.14814/phy2.14084 · Cited by 26
McFall, G. P., Wiebe, S. A., Vergote, D., Westaway, D. A., Jhamandas, J. H., & Dixon, R. A. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.03.010 · Cited by 25
Heat therapy: possible benefits for cognitive function and the aging brain
Schulze, A. T. V., Deng, F., Morris, J. K., & Geiger, P. C. (2020) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00168.2020 · Cited by 26
Bypassing TBI: Metabolic Surgery and the Link between Obesity and Traumatic Brain Injury—a Review
McGlennon, T. W., Buchwald, J. N., Pories, W. J., Yu, F., Roberts, A. J., Ahnfeldt, E. P., Menon, R., & Buchwald, H. (2020) · Obesity Surgery · doi:10.1007/s11695-020-05065-3 · Cited by 25
Late-life cynical distrust, risk of incident dementia, and mortality in a population-based cohort
Neuvonen, E., Rusanen, M., Solomon, A., Ngandu, T., Laatikainen, T. K., Soininen, H. S., Kivipelto, M., & Tolppanen, A. (2014) · Neurology · doi:10.1212/wnl.0000000000000528 · Cited by 25
Type 2 diabetes mellitus as a risk factor for dementia in a Mexican population
Salinas‐Contreras, R. M., Hiriart, M., Acosta, I., Sosa, A. L., & Prince, M. J. (2016) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2016.06.005 · Cited by 25
Exendin-4 protects Aβ(1-42) oligomer-induced PC12 cell apoptosis.
Qiu, C., Wang, Y.-P., Pan, X., Liu, X., Chen, Z., & Liu, L. (2016) · Europe PMC (PubMed Central) · Cited by 25
Poor Oral Health Linked with Higher Risk of Alzheimer’s Disease
Kulkarni, M. S., Miller, B. C., Mahani, M., Mhaskar, R. S., Tsalatsanis, A., Jain, S., & Yadav, H. (2023) · Brain Sciences · doi:10.3390/brainsci13111555 · Cited by 26
Imaging of brain glucose uptake by PET in obesity and cognitive dysfunction: life-course perspective
Iozzo, P., & Guzzardi, M. A. (2019) · Endocrine Connections · doi:10.1530/ec-19-0348 · Cited by 25
Dysmetabolism and Neurodegeneration: Trick or Treat?
Capucho, A. M., Chegão, A., Martins, F. O., Miranda, H. V., & Conde, S. V. (2022) · Nutrients · doi:10.3390/nu14071425 · Cited by 26
Saito, E. R., Warren, C. E., Hanegan, C. M., Larsen, J. G., du Randt, J. D., Cannon, M. E., Saito, J. Y., Campbell, R. J., Kemberling, C. M., Miller, G., et al. (2022) · Metabolites · doi:10.3390/metabo12111019 · Cited by 24
Zheng, M., Zhang, M., Yang, J., Zhao, S., Qin, S., Chen, H., Gao, Y., & Huang, G. (2014) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.13-89 · Cited by 24
An Association of Virus Infection with Type 2 Diabetes and Alzheimer’s Disease
Karim, S., Mirza, Z., Kamal, M. A., Abuzenadah, A. M., Azhar, E. I., Al-Qahtani, M. H., & Sohrab, S. S. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/18715273113126660164 · Cited by 24
Dieta mediterránea y sus efectos benéficos en la prevención de la enfermedad de Alzheimer
Miranda, A., Gómez-Gaete, C., & Sigrid Mennickent, C. (2017) · Revista médica de Chile · doi:10.4067/s0034-98872017000400010 · Cited by 24
Tang, H., Donahoo, W. T., Svensson, M., Shaaban, C. E., Smith, G. E., Jaffee, M. S., Huang, Y., Hu, X., Lu, Y., Salloum, R. G., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14048 · Cited by 24
McFall, G. P., Wiebe, S. A., Vergote, D., Anstey, K. J., & Dixon, R. A. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.08.002 · Cited by 23
Cognitive disorders in diabetic patients
Koekkoek, P. S., Rutten, G. E. H. M., & Biessels, G. J. (2014) · Handbook of clinical neurology · doi:10.1016/b978-0-444-53480-4.00011-4 · Cited by 27
Cortisol: Mediator of association between Alzheimer’s disease and diabetes mellitus?
Notarianni, E. L. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.04.008 · Cited by 23
Diabetes Drug Discovery: hIAPP1–37 Polymorphic Amyloid Structures as Novel Therapeutic Targets
Fernández-Gómez, I., Sablón-Carrazana, M., Bencomo-Martínez, A., Domínguez-Gómez, G., Lara‐Martínez, R., Altamirano-Bustamante, N. F., Jiménez‐García, L. F., Pastén-Hidalgo, K., Castillo‐Rodríguez, R. A., Altamirano, P., et al. (2018) · Molecules · doi:10.3390/molecules23030686 · Cited by 23
Yang, X., Xu, Y., Gao, W., Wang, L., Zhao, X., Liu, G., Fan, K., Liu, S., Huimin, H., Qu, S., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1036872 · Cited by 28
Selvı, Y., Gergerlioğlu, H. S., Akbaba, N., Oz, M., Kandeğer, A., Demir, E. A., Yerlikaya, F. H., & Atalık, K. E. N. (2016) · Acta Neuropsychiatrica · doi:10.1017/neu.2016.63 · Cited by 24
Virk, S. A., & Eslick, G. D. (2015) · Epidemiology · doi:10.1097/ede.0000000000000326 · Cited by 24
Liu, S., Lu, Y., Cai, X., Cong, R., Li, J., Jiang, H., & Li, M. (2019) · Current Alzheimer Research · doi:10.2174/1567205016666191023110712 · Cited by 22
Diabesity and Brain Energy Metabolism: The Case of Alzheimer’s Disease
Cardoso, S., Seiça, R. M. F., & Moreira, P. I. (2017) · Advances in neurobiology · doi:10.1007/978-3-319-63260-5_5 · Cited by 24
Lahiri, D. K., & Maloney, B. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120373 · Cited by 22
Role of the Insulin-like Growth Factor System in Neurodegenerative Disease
LEWITT, M. S., & Boyd, G. W. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25084512 · Cited by 25
Lefèvre‐Arbogast, S., Wagner, M., Proust‐Lima, C., & Samieri, C. (2019) · Current Nutrition Reports · doi:10.1007/s13668-019-00285-1 · Cited by 22
Construction and Analysis of Human Diseases and Metabolites Network
Mi, K., Jiang, Y., Chen, J., Lv, D., Qian, Z., Sun, H., & Shang, D. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00398 · Cited by 22
Risk factors of cognitive impairment: Impact of decline in oral function
Takahashi, T., Hatta, K., & Ikebe, K. (2023) · Japanese Dental Science Review · doi:10.1016/j.jdsr.2023.06.006 · Cited by 23
Camargo, L. C., Campos, G. A. A., Galante, P., Biolchi, A. M., Gonçalves, J. C., Lopes, K. S., & Mortari, M. R. (2017) · Neuropeptides · doi:10.1016/j.npep.2017.11.010 · Cited by 21
Herrero-Labrador, R., Trueba-Sáiz, Á., Martinez‐Rachadell, L., de Sevilla, M. E. F., Zegarra-Valdivia, J. A., Pignatelli, J., Díaz-Pacheco, S., Fernandez, A. M., & Torres‐Alemán, I. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21249675 · Cited by 22
Benefit of Musical Training for Speech Perception and Cognition Later in Life
Merten, N., Fischer, M., Dillard, L. K., Klein, R., Tweed, T. S., & Cruickshanks, K. J. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-20-00588 · Cited by 24
Kang, K., Bai, J., Zhong, S., Zhang, R., Zhang, X., Xu, Y., Zhao, M., Zhao, C., & Zhou, Z. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/8169981 · Cited by 20
Nday, C. M., Eleftheriadou, D., & Jackson, G. E. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14256 · Cited by 21
Baranowski, B. J., Hayward, G. C., Fajardo, V. A., & MacPherson, R. E. K. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-171150 · Cited by 21
Comprehensive and Systematic Analysis of Gene Expression Patterns Associated with Body Mass Index
Joseph, P. V., Jaime-Lara, R. B., Wang, Y., Xiang, L., & Henderson, W. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-43881-5 · Cited by 21
Evaluation of enzyme inhibitory and antioxidant activity of some Lamiaceae plants
Ekin, H. N., Orhan, D. D., Orhan, İ. E., Orhan, N., & Aslan, M. (2019) · Journal of Research in Pharmacy · doi:10.12991/jrp.2019.184 · Cited by 19
Swingler, T. E., Niu, L., Pontifex, M. G., Vauzour, D., & Clark, I. M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23010554 · Cited by 19
Bai, X., Zhao, X., Liu, K., Yang, X., He, Q., Gao, Y., Li, W., & Han, W. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25074062 · Cited by 20
Freeman, L. R., Zhang, L., Dasuri, K., Fernandez-Kim, S.-O., Bruce‐Keller, A. J., & Keller, J. N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043193 · Cited by 19
Sirtuins-Mediators of Maternal Obesity-Induced Complications in Offspring?
Nguyen, L. T., Chen, H., Pollock, C. A., & Saad, S. (2016) · The FASEB Journal · doi:10.1096/fj.15-280743 · Cited by 19
Levy, B., Tsoy, E., & Gable, S. C. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160309 · Cited by 22
Corrigan, F., Arulsamy, A., Teng, J., & Collins‐Praino, L. E. (2016) · Journal of Neurotrauma · doi:10.1089/neu.2016.4589 · Cited by 20
Moser, V. A., Christensen, A., Liu, J., Zhou, A. G., Yagi, S., Beam, C. R., Galea, L. A. M., & Pike, C. J. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.09.016 · Cited by 20
Espeland, M. A., Hayden, K. M., Lockhart, S. N., Yassine, H. N., Hoscheidt, S. M., Yaşar, S., Luchsinger, J. A., Neiberg, R. H., Brinton, R. D., & Carmichael, O. T. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz090 · Cited by 18
Rozenblum, G., Ait‐Aissa, K., Zahran, G. E. D., Alipour, M., Sahyoun, A. M., Munkhsaikhan, U., Kassan, A., Ishrat, T., Wang, Q., Abidi, A. H., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.71011 · Cited by 19
Mansouri, S., Salari, A., Abedi, A. J., Mohammadi, P., & Amani, M. (2022) · Physiology & Behavior · doi:10.1016/j.physbeh.2022.113919 · Cited by 20
Yonamine, C. Y., Passarelli, M., Suemoto, C. K., Pasqualucci, C. A., Filho, W. J., Alves, V. A. F., Marie, S. K. N., Corrêa‐Giannella, M. L., Britto, L. R., & Machado, U. F. (2023) · Cells · doi:10.3390/cells12091250 · Cited by 18
Dietary Sugar Intake Associated with a Higher Risk of Dementia in Community-Dwelling Older Adults
Agarwal, P., Ford, C. N., Leurgans, S. E., Beck, T. L., Desai, P., Dhana, K., Evans, D. A., Halloway, S., Holland, T. M., Krueger, K. R., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230013 · Cited by 19
Trimethylamine N-Oxide as a Mediator Linking Peripheral to Central Inflammation: An In Vitro Study
Janeiro, M. H., Solas, M., Orbe, J., Rodríguez, J. A., de Muniain, L. S., Escalada, P., Yip, P. K., & Ramírez, M. J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417557 · Cited by 20
Functional aspects of the brain lymphatic drainage system in aging and neurodegenerative diseases
Chen, Y., He, X., Cai, J., & Li, Q. (2024) · Journal of Biomedical Research · doi:10.7555/jbr.37.20230264 · Cited by 18
Lu, X., Zhang, Y., Tang, Y., Bernick, C. B., & Shan, G. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14393 · Cited by 18
Vetri, F., Qi, M., Xu, H., Oberholzer, J., & Paisansathan, C. (2016) · Brain Research · doi:10.1016/j.brainres.2016.11.012 · Cited by 18
Lee, S., Kim, J. Y., Kim, E., Seo, K. Y., Kang, Y. J., Kim, J. Y., Kim, C. H., Song, H., Saksida, L. M., & Lee, J. E. (2018) · Experimental Neurobiology · doi:10.5607/en.2018.27.4.277 · Cited by 18
Predictors and implications of accelerated cognitive aging
Levine, M. E., Harrati, A., & Crimmins, E. M. (2018) · Biodemography and Social Biology · doi:10.1080/19485565.2018.1552513 · Cited by 21
Different treatment forms of type II diabetes and the risk of dementia in German health claims data
Buchmann, N., Fink, A., Tegeler, C., Demuth, I., Doblhammer, G., & Steinhagen‐Thiessen, E. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01332-7 · Cited by 17
The oxidatively damaged DNA and amyloid-β oligomer hypothesis of Alzheimer's disease
Sanders, O. D., Rajagopal, L., & Rajagopal, J. A. (2021) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2021.08.019 · Cited by 18
Yu, H., Yang, S., Gao, J.-W., Zhou, L., Liang, R., & Qu, C.-Y. (2013) · International Psychogeriatrics · doi:10.1017/s1041610212002220 · Cited by 18
Digestion of starch in a dynamic small intestinal model
Jaime-Fonseca, M. R., Gouseti, O., Fryer, P., Wickham, M., & Bakalis, S. (2016) · European Journal of Nutrition · doi:10.1007/s00394-015-1044-5 · Cited by 18
Barros, L., Eichwald, T., Solano, A. F., Scheffer, D. D. L., da Silva, R. A., Gaspar, J. M., & Latini, A. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.03.009 · Cited by 18
Smith, S. M., Pjetri, E., Friday, W. B., Presswood, B. H., Ricketts, D. K., Walter, K. R., & Mooney, S. M. (2022) · Nutrients · doi:10.3390/nu14071438 · Cited by 18
Poxleitner, M., Hoffmann, S. H. L., Berezhnoy, G., Ionescu, T. M., González-Menéndez, I., Maier, F. C., Seyfried, D., Ehrlichmann, W., Quintanilla‐Martínez, L., Schmid, A. M., et al. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03080-0 · Cited by 22
Amyloid-beta metabolism in age-related neurocardiovascular diseases
Aivalioti, E., Georgiopoulos, G. A., Tual‐Chalot, S., Bampatsias, D., Delialis, D., Sopova, K., Drakos, S. G., Stellos, K., & Stamatelopoulos, K. S. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae655 · Cited by 20
Longitudinal Effects of Metabolic Syndrome on Alzheimer and Vascular Related Brain Pathology
Lin, F. V., Lo, R. Y., Cole, D., Ducharme, S., Chen, D., Mapstone, M. E., Porsteinsson, A. P., & Initiative, A. D. N. (2014) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000363285 · Cited by 17
Self-citationLin, F., Jia, J., & Qin, W. (2014) · Neuroreport · doi:10.1097/wnr.0000000000000261 · Cited by 17
The Impact of Gender on Atrial Fibrillation Incidence and Progression to Dementia
Golive, A., May, H. T., Bair, T. L., Jacobs, V., Crandall, B. G., Cutler, M. J., Day, J. D., Mallender, C. D., Osborn, J. S., Weiss, J. P., et al. (2018) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2018.07.031 · Cited by 17
Insulin Resistance and Alzheimer’s Disease
Min, S., Joon, H. S., & Mook‐Jung, I. (2011) · InTech eBooks · doi:10.5772/23409 · Cited by 17
A Critical Assessment of Fasting to Promote Metabolic Health and Longevity
Fazeli, P. K., & Steinhauser, M. L. (2025) · Endocrine Reviews · doi:10.1210/endrev/bnaf021 · Cited by 19
Preclinical models of disease and multimorbidity with focus upon cardiovascular disease and dementia
Shabir, O., Moll, T., Matuszyk, M. M., Eyre, B., Dake, M. D., Berwick, J., & Francis, S. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111361 · Cited by 17
Anita, N. Z., Kwan, F., Ryoo, S. W., Major-Orfao, C., Lin, W. Z., Noor, S., Lanctôt, K. L., Herrmann, N., OH, P. I., Shah, B. R., et al. (2023) · Journal of Lipid Research · doi:10.1016/j.jlr.2023.100395 · Cited by 16
Overview and Current Status of Alzheimer’s Disease in Bangladesh
Rahman, M. R., Tajmim, A., Ali, M., & Sharif, M. (2017) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-170012 · Cited by 21
Pursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models
Gurdon, B., & Kaczorowski, C. C. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105558 · Cited by 16
de Moraes, R. C. M., Lima, G. C. A., Cardinali, C. A. E. F., de Gonçalves, A. C., Portari, G. V., Guerra‐Shinohara, E. M., Leboucher, A., Donato, J., Kleinridders, A., & Torrão, A. D. S. (2022) · Life Sciences · doi:10.1016/j.lfs.2022.120841 · Cited by 16
Diabetes of the Brain: Computational Approaches and Interventional Strategies
Narasimhan, K., Meenakumari, G., Gauthaman, K., Kamal, M. A., Abuzenadeh, A. M., Al-Qahtani, M., & Kanagasabai, R. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/18715273113126660156 · Cited by 16
DNA Modifications and Alzheimer’s Disease
Smith, R. G., & Lunnon, K. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-53889-1_16 · Cited by 16
Merten, N., Boenniger, M. M., Herholz, S. C., & Breteler, M. M. B. (2022) · Ear and Hearing · doi:10.1097/aud.0000000000001154 · Cited by 15
Patil, G. V., Kulsange, S. E., Kazi, R. S., Chirmade, T., Kale, V., Mote, C., Aswar, M. K., Koratkar, S., Agawane, S. B., & Kulkarni, M. J. (2022) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.2c00143 · Cited by 15
A Review on Phyto-Therapeutic Approaches in Alzheimer’s Disease
Sahiner, M., Yilmaz, A. S., Güngör, B., & Şahiner, N. (2023) · Journal of Functional Biomaterials · doi:10.3390/jfb14010050 · Cited by 16
Merten, N., Pinto, A. A., Paulsen, A. J., Chen, Y., Engelman, C. D., Hancock, L. M., Johnson, S. C., & Schubert, C. R. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221287 · Cited by 19
Shekarchian, M., Peeri, M., & Azarbayjani, M. A. (2023) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2023.110725 · Cited by 15
Obesity and Brain Vulnerability in Normal and Abnormal Aging: A Multimodal MRI Study
Dake, M. D., Marco, M. D., Blackburn, D. J., Wilkinson, I. D., Remes, A. M., Liu, Y., Pikkarainen, M., Hallikainen, M., Soininen, H. S., & Venneri, A. (2021) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-200267 · Cited by 15
Taubel, J., Nelson, N. R., Bansal, A., Curran, G. L., Wang, L., Wang, Z., Berg, H. M., Vernon, C. J., Min, H.-K. P., Larson, N. B., et al. (2022) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.2c00126 · Cited by 16
Dezonne, R. S., Pereira, C. M., Martins, C. J. D. M., de Abreu, V. G., & Francischetti, E. A. (2022) · Metabolic Brain Disease · doi:10.1007/s11011-022-01064-8 · Cited by 16
Can bariatric surgery reduce risk of Alzheimer's disease?
Stanek, K. M., & Gunstad, J. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.06.021 · Cited by 15
Hot Topics in Research: Preventive Neuroradiology in Brain Aging and Cognitive Decline
Raji, C. A., Eyre, H. A., Wei, S. H., Bredesen, D. E., Moylan, S., Law, M., Small, G. W., Thompson, P. M., Friedlander, R. M., Silverman, D. H. S., et al. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4409 · Cited by 17
Beejmohun, V., Mignon, C., Mazollier, A., Peytavy-Izard, M., Pallet, D., Dornier, M., & Chapal, N. (2015) · Journal of Nutritional Science · doi:10.1017/jns.2015.30 · Cited by 15
Sowing the Seeds of Discovery: Tau-Propagation Models of Alzheimer’s Disease
Bell, B. J., Malvankar, M. M., Tallon, C., & Slusher, B. S. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.0c00531 · Cited by 15
Ormazabal, P., Bastías-Pérez, M., Inestrosa, N. C., & Cisternas, P. (2025) · Pharmaceuticals · doi:10.3390/ph18101527 · Cited by 16
Kongtawelert, P., Kaewmool, C., Phitak, T., Phimphilai, M., Pothacharoen, P., & Shwe, T. H. (2022) · Scientific Reports · doi:10.1038/s41598-022-15411-3 · Cited by 15
Alzheimer’s Disease: Causal Effect between Obesity and APOE Gene Polymorphisms
Zhao, T., Zhong, T., Zhang, M., Xu, Y., Zhang, M., & Chen, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713531 · Cited by 14
Barberger‐Gateau, P., Samieri, C., Allès, B., & Féart, C. (2012) · Neurodegenerative Disease Management · doi:10.2217/nmt.12.24 · Cited by 14
Sargénius, H. L., Bylsma, F., Lydersen, S., & Hestad, K. A. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01629 · Cited by 14
Chau, D. D., Yung, K. W. Y., Chan, W. W., An, Y., Yan, H., Chan, H. Y. E., Ngo, J. C. K., & Lau, K. (2019) · The FASEB Journal · doi:10.1096/fj.201802825rr · Cited by 14
Impact of metabolic dysfunction on cognition in humans
Rasmussen, I. J., Thomassen, J. Q., & Frikke‐Schmidt, R. (2020) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000723 · Cited by 14
Qiu, C. (2011) · Expert Review of Neurotherapeutics · doi:10.1586/ern.11.146 · Cited by 14
Backeström, A., Eriksson, S., Nilsson, L., Olsson, T., & Rolandsson, O. (2015) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-015-0014-7 · Cited by 13
Unaltered Prion Pathogenesis in a Mouse Model of High-Fat Diet-Induced Insulin Resistance
Zhu, C., Schwarz, P., Abakumova, I., & Aguzzi, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144983 · Cited by 13
Metadata
- Authors
- Profenno, L. A., Porsteinsson, A. P., & Faraone, S. V.
- Affiliations
- SUNY Upstate Medical University (US)
- University of Rochester Medicine (US)
- Corresponding author
- Profenno, Louis A.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 67
- Issue
- 6
- Pages
- 505-512
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2032605307
- Cited by
- 718
- References
- 45
- Citations by year
- 2026: 19 · 2025: 41 · 2024: 55 · 2023: 51 · 2022: 44 · 2021: 47 · 2020: 55 · 2019: 65 · 2018: 39 · 2017: 43 · 2016: 41 · 2015: 52 · 2014: 50 · 2013: 46 · 2012: 44
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- SUNY Digital Repository Support (State University of New York System) (submittedVersion, cc-by-nc-nd)
- Funders
- U.S. Department of Veterans Affairs
- 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, obesity, diabetes mellitus, metabolic syndrome, body mass index, glucose concentration, insulin levels, disease risk factors, APOE ε4, comorbidities
- MeSH terms
- Aged, Alzheimer Disease, Female, Glucose, Humans, Insulin, Longitudinal Studies, Male, Mental Status Schedule, Middle Aged, Obesity, Retrospective Studies, Risk Factors, Body Mass Index, Proportional Hazards Models, PubMed, Diabetes Complications, Overweight, Apolipoprotein E4
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review