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Type 2 diabetes mellitus and Alzheimer’s disease
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Epidemiological and biological evidences support a link between type 2 diabetes mellitus (DM2) and Alzheimer's disease (AD). Persons with diabetes have a higher incidence of cognitive decline and an increased risk of developing all types of dementia. Cognitive deficits in persons with diabetes mainly affect the areas of psychomotor efficiency, attention, learning and memory, mental flexibility and speed, and executive function. The strong epidemiological association has suggested the existence of a physiopathological link. The determinants of the accelerated cognitive decline in DM2, however, are less clear. Increased cortical and subcortical atrophy have been evidenced after controlling for diabetic vascular disease and inadequate cerebral circulation. Most recent studies have focused on the role of insulin and insulin resistance as possible links between diabetes and AD. Disturbances in brain insulin signaling mechanisms may contribute to the molecular, biochemical, and histopathological lesions in AD. Hyperglycemia itself is a risk factor for cognitive dysfunction and dementia. Hypoglycemia may also have deleterious effects on cognitive function. Recurrent symptomatic and asymptomatic hypoglycemic episodes have been suggested to cause sub-clinical brain damage, and permanent cognitive impairment. Future trials are required to clarify the mechanistic link, to address the question whether cognitive decline may be prevented by an adequate metabolic control, and to elucidate the role of drugs that may cause hypoglycemic episodes.
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“Vascular risk factors including hypertension (169, 272), diabetes (43, 110), hyperlipidemia (74), and cardiovascular disease (594), as well as environment (e.g., pollution) (87-89, 207) and lifestyle (e.g., obesity, sedentary lifestyle) (281, 643) all affect cerebrovascular and BBB dysfunction (429, 571), and may influence onset and progression of AD.”
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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
Pathways towards and Away from Alzheimer’s Disease
Mattson, M. P. (2004) · Nature · doi:10.1038/nature02621 · Cited by 3,052
Risk of dementia in diabetes mellitus: a systematic review
Biessels, G. J., Staekenborg, S., Brunner, E., Brayne, C., & Scheltens, P. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70284-2 · Cited by 2,187
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
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
Alzheimer’s disease is type 3 diabetes—Evidence reviewed
de la Monte, S. M., & Wands, J. R. (2008) · Journal of Diabetes Science and Technology · doi:10.1177/193229680800200619 · Cited by 1,158
Hypoglycemic episodes and risk of dementia in older patients with type 2 diabetes mellitus
Whitmer, R. A. (2009) · JAMA · doi:10.1001/jama.2009.460 · Cited by 1,128
Increased Risk of Type 2 Diabetes in Alzheimer Disease
Janson, J., Laedtke, T., Parisi, J. E., O’Brien, P., Petersen, R. C., & Butler, P. C. (2004) · Diabetes · doi:10.2337/diabetes.53.2.474 · Cited by 950
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
Cognitive Dysfunction and Diabetes Mellitus
Kodl, C. T., & Seaquist, E. R. (2008) · Endocrine Reviews · doi:10.1210/er.2007-0034 · Cited by 846
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Blood-Brain Barrier: From Physiology to Disease and Back
Sweeney, M. D., Zhao, Z., Montagne, A., Nelson, A. R., & Zlokovic, B. V. (2019) · Physiological Reviews · doi:10.1152/physrev.00050.2017 · Cited by 2,312
Hyperglycemia drives intestinal barrier dysfunction and risk for enteric infection
Thaiss, C. A., Levy, M., Grosheva, I., Zheng, D., Soffer, E., Blacher, E., Braverman, S., Tengeler, A. C., Barak, O., Elazar, M., et al. (2018) · Science · doi:10.1126/science.aar3318 · Cited by 942
Neurovascular dysfunction and neurodegeneration in dementia and Alzheimer's disease
Nelson, A. R., Sweeney, M. D., Sagare, A. P., & Zlokovic, B. V. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.12.016 · Cited by 559
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Yu, D., Richardson, N. E., Green, C. L., Spicer, A. B., Trautman, M. E., Flores, V., Jang, C., Kasza, I., Nikodémová, M., Wakai, M. H., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.03.025 · Cited by 398
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Zhang, J., Chen, C., Hua, S., Liao, H., Wang, M., Xiong, Y., & Cao, F. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.10.024 · Cited by 376
Ou, Z., Deng, L., Lu, Z., Wu, F., Liu, W., Huang, D., & Peng, Y. (2020) · Nutrition & Diabetes · doi:10.1038/s41387-020-0115-8 · Cited by 328
Alzheimer's disease and type 2 diabetes: a critical assessment of the shared pathological traits
Chatterjee, S., & Mudher, A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00383 · Cited by 270
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Boles, A. N., Kandimalla, R. J. L., & Reddy, P. H. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2017.01.016 · Cited by 280
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Future directions in Alzheimer's disease from risk factors to prevention
Imtiaz, B., Tolppanen, A., Kivipelto, M., & Soininen, H. S. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2014.01.003 · Cited by 249
A review on advances of treatment modalities for Alzheimer's disease
Thoe, E. S., Fauzi, A., Tang, Y.-Q., Chamyuang, S., & Chia, A. Y. Y. (2021) · Life Sciences · doi:10.1016/j.lfs.2021.119129 · Cited by 234
Liu, Z., Li, T., Li, P., Wei, N., Zhao, Z., Liang, H., Ji, X., Chen, W., Xue, M., & Wei, J. (2015) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2015/352723 · Cited by 217
Duara, R., & Barker, W. (2022) · Neurotherapeutics · doi:10.1007/s13311-022-01185-z · Cited by 187
Barber, T. M., Kyrou, I., Randeva, H. S., & Weickert, M. O. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020546 · Cited by 185
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Cammann, D., Lu, Y., Cummings, M. J., Zhang, M. L., Cue, J. M., Do, J., Ebersole, J. L., Chen, X., Oh, E. C. T., Cummings, J. L., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-31730-5 · Cited by 187
Takechi, R., Lam, V., Brook, E., Giles, C., Fimognari, N., Mooranian, A., Al‐Salami, H., Coulson, S., Nesbit, M., & Mamo, J. C. L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00399 · Cited by 169
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Liu, Y. K., Ling, S., Lui, L. M. W., Ceban, F., Vinberg, M., Kessing, L. V., Ho, R., Rhee, T. G., Gill, H., Cao, B., et al. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.12.110 · Cited by 108
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Lei, W., Cheng, Y., Gao, J., Liu, X., Shao, L., Kong, Q., Zheng, N., Ling, Z., & Hu, W. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1224155 · Cited by 104
Benwell, C., Davila-Pérez, P., Fried, P. J., Jones, R. N., Travison, T. G., Santarnecchi, E., Pascual‐Leone, Á., & Shafi, M. M. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.10.004 · Cited by 108
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Watson, K. T., Nasca, C., Aasly, L., McEwen, B. S., & Rasgon, N. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.11.038 · Cited by 96
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Soares, L. C., Al‐Dalahmah, O., Hillis, J. M., Young, C. C., Asbed, I., Sakaguchi, M., O’Neill, E. E., & Szele, F. G. (2021) · Cells · doi:10.3390/cells10113047 · Cited by 96
Khan, M. A., Alam, Q., Haque, A., Ashafaq, M., Khan, M. J., Ashraf, G. M., & Ahmad, M. (2018) · Current Neuropharmacology · doi:10.2174/1570159x16666180828100002 · Cited by 92
Hayden, M. R. (2019) · Brain Sciences · doi:10.3390/brainsci9100262 · Cited by 95
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Shared genetic etiology underlying Alzheimer’s disease and type 2 diabetes
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de Paiva, I. H. R., da Silva, R. S., Mendonça, I. P., Maciel, L. M., de Souza, J. R. B., & Peixoto, C. A. (2024) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-024-10142-w · Cited by 85
Mamik, M. K., Asahchop, E. L., Chan, W. F., Zhu, Y., Branton, W. G., McKenzie, B., Cohen, É. A., & Power, C. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1287-16.2016 · Cited by 81
Xiang, Q., Zhang, J., Li, C., Wang, Y., Zeng, M.-J., Cai, Z.-X., Tian, R.-B., Jia, W. P., & Li, X. (2015) · Neuropeptides · doi:10.1016/j.npep.2015.08.009 · Cited by 80
Long-term use of metformin and Alzheimer’s disease: beneficial or detrimental effects
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Rius‐Pérez, S., Tormos, A. M., Pérez, S., & Taléns‐Visconti, R. (2017) · Neurología (English Edition) · doi:10.1016/j.nrleng.2015.07.008 · Cited by 79
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Yashin, A. I., Fang, F., Kovtun, M., Wu, D., Duan, M., Arbeev, K. G., Akushevich, I. V., Kulminski, A. M., Culminskaya, I. V., Zhbannikov, I. Y., et al. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.10.020 · Cited by 72
Martiz, R. M., Patil, S. M., Abdulaziz, M., Babalghith, A. O., Al-Areefi, M. A., Al‐Ghorbani, M., Kumar, J. M., Prasad, A., Nagalingaswamy, N. P. M., & Ramu, R. (2022) · Molecules · doi:10.3390/molecules27082398 · Cited by 71
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Patología vascular: ¿causa o efecto en la enfermedad de Alzheimer?
Rius‐Pérez, S., Tormos, A. M., Pérez, S., & Taléns‐Visconti, R. (2015) · Neurología · doi:10.1016/j.nrl.2015.07.010 · Cited by 74
Tirzepatide prevents neurodegeneration through multiple molecular pathways
Fontanella, R. A., Ghosh, P., Pesapane, A., Taktaz, F., Puocci, A., Franzese, M., Feliciano, M. F., Tortorella, G., Scisciola, L., Sommella, E., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-04927-z · Cited by 67
Chao, A., Lee, T.-Y., Juo, S. H., & Yang, D. (2016) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12503 · Cited by 69
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Ganguli, M., Beer, J. C., Zmuda, J. M., Ryan, C. M., Sullivan, K., Chang, C. H., & Rao, R. H. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16321 · Cited by 67
Insulin signaling: An opportunistic target to minify the risk of Alzheimer’s disease
Pardeshi, R., Bolshette, N. B., Gadhave, K., Ahire, A., Ahmed, S., Cassano, T., Gupta, V. B., & Lahkar, M. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.05.004 · Cited by 67
Insulin mediated novel therapies for the treatment of Alzheimer's disease
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Loss of insulin signaling in astrocytes exacerbates Alzheimer-like phenotypes in a 5xFAD mouse model
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Campos-Peña, V., Toral-Rios, D., Becerril-Pérez, F., Sánchez-Torres, C., Delgado-Namorado, Y., Torres-Ossorio, E., Franco-Bocanegra, D., & Carvajal, K. (2017) · Antioxidants & Redox Signaling · doi:10.1089/ars.2016.6768 · Cited by 58
Chin, S. O., Rhee, S. Y., Chon, S., Baik, S. H., Park, Y., Nam, M. S., Lee, K. W., Chun, K. H., Woo, J., & Kim, Y. S. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.09.027 · Cited by 59
Silveira, A. C. S., Dias, J. P., Santos, V. M., Oliveira, P. F., Alves, M. G., Rato, L., & Silva, B. M. (2018) · Current Neuropharmacology · doi:10.2174/1570159x16666180803162059 · Cited by 61
Ajoy, R., Lo, Y.-C., Ho, M.-H., Chen, Y.-Y., Wang, Y., Chen, Y.-H., Jing-Yuan, C., Changou, C. A., Hsiung, Y.-C., Chen, H.-M., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01103-3 · Cited by 57
Ahmad, W., & Ebert, P. R. (2016) · Molecular Neurobiology · doi:10.1007/s12035-016-0085-y · Cited by 57
Silymarin and neurodegenerative diseases: Therapeutic potential and basic molecular mechanisms
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Rahman, M. M., Kwon, H.-S., Kim, M., Go, H.-K., Oak, M., & Kim, D. (2017) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2017.05.035 · Cited by 54
Leptin regulates amyloid β production via the γ-secretase complex
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Hmidene, A. B., Hanaki, M., Murakami, K., Irie, K., Isoda, H., & Shigemori, H. (2017) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.b16-00801 · Cited by 51
Brain glucose metabolism: Role of Wnt signaling in the metabolic impairment in Alzheimer’s disease
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Hilal, S., Amin, S. M., Venketasubramanian, N., Niessen, W. J., Vrooman, H. A., Wong, T. Y., Chen, C., & Ikram, M. K. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150473 · Cited by 51
Jannat, S., Balupuri, A., Ali, M. Y., Hong, S. S., Choi, C. W., Choi, Y., Ku, J., Kim, W. J., Leem, J. Y., Kim, J. E., et al. (2019) · Experimental & Molecular Medicine · doi:10.1038/s12276-019-0205-7 · Cited by 49
Stanciu, G. D., Rusu, R. N., Bild, V., Filipiuc, L. E., Tamba, B.-I., & Ababei, D. C. (2021) · Biomedicines · doi:10.3390/biomedicines9050576 · Cited by 47
Wang, J., Zhang, J., Yu, Z., Chung, S. K., & Xu, B. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102416 · Cited by 52
Boustani, M. A., Pittman, I., Yu, M., Thieu, V. T., Varnado, O. J., & Juneja, R. (2016) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.12687 · Cited by 46
Kim, W. J., Lee, S. J., Lee, E., Lee, E. Y., & Han, K. (2022) · Diabetes Care · doi:10.2337/dc21-0957 · Cited by 45
Chen, T., Ferruzzi, M. G., Wu, Q., Simon, J. E., Talcott, S. T., Wang, J., Ho, L., Todd, G., Cooper, B. R., Pasinetti, G. M., et al. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201700111 · Cited by 44
Ferulic acid and hormesis: Biomedical and environmental implications
Calabrese, E. J., Agathokleous, E., & Calabrese, V. (2021) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2021.111544 · Cited by 44
Paul, S. C., Saha, D., & Binukumar, B. K. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02365-2 · Cited by 43
Paul, A., Frenkel‐Pinter, M., Alvarez, D. E., Milordini, G., Gazit, E., Zacco, E., & Segal, D. (2020) · Communications Biology · doi:10.1038/s42003-020-01216-5 · Cited by 42
Moore, S. J., Sonar, K., Bharadwaj, P., Deplazes, E., & Mancera, R. L. (2018) · Molecules · doi:10.3390/molecules23092142 · Cited by 41
Autophagy Activation is Associated with Neuroprotection in Diabetes-associated Cognitive Decline
Wu, Y., Ye, L., Yuan, Y., Jiang, T., Guo, X., Wang, Z., Xu, K., Xu, Z., Liu, Y., Zhong, X., et al. (2018) · Aging and Disease · doi:10.14336/ad.2018.1024 · Cited by 41
Welcome, M. O. (2020) · PharmaNutrition · doi:10.1016/j.phanu.2020.100176 · Cited by 41
Urkon, M., Ferencz, E., Szász, J. A., Szabó, M. I. M., Orbán-Kis, K., Szatmári, S., & Nagy, E. E. (2025) · Pharmaceuticals · doi:10.3390/ph18050614 · Cited by 43
Redondo, M., Beltrán-Brotóns, J. L., Avilés, J. M. R., & Ballesteros, S. (2016) · Experimental Gerontology · doi:10.1016/j.exger.2016.07.013 · Cited by 42
Chatterjee, S., Ambegaokar, S. S., Jackson, G. R., & Mudher, A. K. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00801 · Cited by 40
Elmazoğlu, Z., Rangel‐López, E., Medina‐Campos, O. N., Pedraza‐Chaverrí, J., Túnez, I., Aschner, M., Santamarı́a, A., & Karasu, Ç. (2020) · Neurochemistry International · doi:10.1016/j.neuint.2020.104817 · Cited by 39
Chen, W., Liu, X., Muñoz, V. R., & Kahn, C. R. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2501527122 · Cited by 42
Majumder, P., Chanda, K., Das, D., Singh, B. K., Chakrabarti, P., Jana, N. R., & Mukhopadhyay, D. (2021) · Biochemical Journal · doi:10.1042/bcj20210175 · Cited by 38
Tomato plant leaves: From by-products to the management of enzymes in chronic diseases
Figueiredo-González, M., Valentão, P., & Andrade, P. B. (2016) · Industrial Crops and Products · doi:10.1016/j.indcrop.2016.09.036 · Cited by 37
Bağcı, E., Akbaba, E., Ungureanu, E., & Hriţcu, L. (2016) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2016.10.075 · Cited by 37
Schweickart, A., Batra, R., Neth, B. J., Martino, C., Shenhav, L., Zhang, A. R., Shi, P., Karu, N., Huynh, K., Meikle, P. J., et al. (2024) · npj Metabolic Health and Disease · doi:10.1038/s44324-024-00016-3 · Cited by 36
Jia, X.-T., Ye-Tian, Yuanli, Zhang, G., Liu, Z., Di, Z., Ying, X., Yan, F., Song, E., Qi, J., et al. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.03.016 · Cited by 36
Jana, A. K., Batkulwar, K., Kulkarni, M. J., & Sengupta, N. (2016) · Physical Chemistry Chemical Physics · doi:10.1039/c6cp05041g · Cited by 35
Chauhan, A., Dubey, S., & Jain, S. (2024) · Cell Biochemistry and Function · doi:10.1002/cbf.4111 · Cited by 35
d’Almeida, O. C., Violante, I. R., Quendera, B., Moreno, C., Gomes, L., & Castelo-Branco, M. S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240907 · Cited by 34
Weaver, D. F. (2023) · Brain Sciences · doi:10.3390/brainsci14010041 · Cited by 34
Role of copper in central nervous system physiology and pathology
Locatelli, M., & Farina, C. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00110 · Cited by 31
Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
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Fleck, D., Phu, L., Verschueren, E., Hinkle, T. B., Reichelt, M., Bhangale, T., Haley, B., Wang, Y., Graham, R., Kirkpatrick, D. S., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0116-19.2019 · Cited by 31
Davis, A. P., Wiegers, T. C., King, B. L., Wiegers, J., Grondin, C., Sciaky, D., Johnson, R. J., & Mattingly, C. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155530 · Cited by 30
Jin, L., Li, L., Li, G., Liu, S., Luo, D., Feng, Q., Sun, D., Wang, W., Liu, J., Wang, Q., et al. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.06.008 · Cited by 30
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Mietlicki‐Baase, E. G. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.12.016 · Cited by 30
Morrone, C. D., Liu, M., Black, S. E., & McLaurin, J. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00064 · Cited by 26
Bennici, G., Almahasheer, H., Alghrably, M., Valensin, D., Kola, A., Kokotidou, C., Lachowicz, J. I., & Jaremko, M. (2024) · RSC Advances · doi:10.1039/d4ra02349h · Cited by 28
Wagle, A., Seong, S. H., Shrestha, S., Jung, H. A., & Choi, J. S. (2019) · Molecules · doi:10.3390/molecules24030649 · Cited by 29
Mahomoodally, M. F., Picot-Allain, M. C. N., Zengin, G., Llorent-Martínez, E. J., Abdullah, H. H., Ak, G., Şenkardeş, İ., Chiavaroli, A., Menghini, L., Recinella, L., et al. (2020) · Molecules · doi:10.3390/molecules25102422 · Cited by 27
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Rodriguez‐Perdigon, M., Solas, M., Moreno-Aliaga, M. J., & Ramírez, M. J. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.01.004 · Cited by 26
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Martini, A. C., Forner, S., Trujillo‐Estrada, L., Baglietto‐Vargas, D., & LaFerla, F. M. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179917 · Cited by 27
Kelliny, S., Zhou, X., & Bobrovskaya, L. (2025) · Journal of Neuroscience Research · doi:10.1002/jnr.70046 · Cited by 27
Confettura, A. D., Cuboni, E., Ammar, M. R., Jia, S., Gomes, G. M., Yuanxiang, P., Raman, R., Li, T., Grochowska, K. M., Ahrends, R., et al. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-021-00277-8 · Cited by 25
Behera, A., Pradhan, S. P., Tejaswani, P., Sa, N., Pattnaik, S., & Sahu, P. K. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03539-w · Cited by 25
Metadata
- Authors
- Barbagallo, M.
- Affiliations
- University of Palermo (IT)
- Corresponding author
- Barbagallo, Mario
- ORCID
- Barbagallo, Mario
- Venue
- World Journal of Diabetes
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2014
- Volume
- 5
- Issue
- 6
- Pages
- 889
- ISSN
- 1948-9358 (ISSN-L)
- PMC
- PMC4265876
- OpenAlex
- W1980458121
- Cited by
- 313
- References
- 35
- Citations by year
- 2026: 17 · 2025: 31 · 2024: 33 · 2023: 34 · 2022: 24 · 2021: 28 · 2020: 26 · 2019: 18 · 2018: 21 · 2017: 19 · 2016: 39 · 2015: 18 · 2014: 4
- FWCI
- 3.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- World Journal of Diabetes (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
- 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 Management and Research
- Keywords
- type 2 diabetes, Alzheimer's disease, cognitive decline, dementia risk, insulin resistance, brain insulin signaling, hyperglycemia, hypoglycemia, brain atrophy, metabolic control, cognitive impairment prevention
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.
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