The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Brain insulin and insulin receptors in aging and sporadic Alzheimer’s disease
Abstract
The search for the causes of neurodegenerative disorders is a major theme in brain research. Acquired disturbances of several aspects of cellular metabolism appear pathologically important in sporadic Alzheimer's disease (SDAT). Among these brain glucose utilisation is reduced in the early stages of the disease and the regulatory enzymes important for glucose metabolism are reduced. In the brain, insulin, insulin-like growth factors and their receptors regulate glucose metabolism and promote neuronal growth. To detect changes in the functional activity of the brain insulin neuromodulatory system of SDAT patients, we determined the concentrations of insulin and c-peptide as well as insulin receptor binding and IGF-I receptor binding in several regions of postmortem brain cortex during aging and Alzheimer's disease. Additionally, we performed immunohistochemical staining with antibodies against insulin in neocortical brain areas in SDAT and controls. We show for the first time that insulin and c-peptide concentration in the brain are correlated and decrease with aging, as do brain insulin receptor densities. Weak insulin-immunoreactivity could be demonstrated histochemically in pyramidal neurons of controls, whereas in SDAT a stronger insulin-immunoreactivity was found. On a biochemical level, insulin and c-peptide levels were reduced compared to middle-aged controls, but were unchanged compared to age-matched controls. Brain insulin receptor densities in SDAT were decreased compared to middle-aged controls, but increased in comparison to age-matched controls. IGF-I receptor densities were unchanged in aging and in SDAT. Tyrosine kinase activity, a signal transduction mechanism common to both receptor systems, was reduced in SDAT in comparison to middle-aged and age-matched control groups. These data are consistent with a neurotrophic role of insulin in the human brain and a disturbance of insulin signal transduction in SDAT brain and favor the hypothesis that insulin dependent functions may be of pathogenetic relevance in sporadic SDAT.
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
“Brain insulin signaling declines with age (Frolich et al., 1998; , 1999; Hoyer, 1998; Rivera et al., 2005), the primary risk factor for AD.”
From The Aβ oligomer hypothesis for synapse failure and memory loss in Alzheimer’s disease (2011) · cites this paper as Frolich et al., 1998
In the citing paper
“levels of brain insulin and insulin receptors (IRs) are lower in AD (Frolich et al., 1998; Rivera et al., 2005).”
From The Aβ oligomer hypothesis for synapse failure and memory loss in Alzheimer’s disease (2011) · cites this paper as Frolich et al., 1998
Citations
Cites
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
Diagnosis of Alzheimer's Disease
Khachaturian, Z. S. (1985) · Archives of Neurology · doi:10.1001/archneur.1985.04060100083029 · Cited by 2,499
Structure of the insulin receptor substrate IRS-1 defines a unique signal transduction protein
Sun, X. J., Rothenberg, P., Kahn, C. R., Backer, J. M., Araki, E., Wilden, P. A., Cahill, D. A., Goldstein, B. J., & White, M. F. (1991) · Nature · doi:10.1038/352073a0 · Cited by 1,574
NEUROTRANSMITTER-RELATED ENZYMES AND INDICES OF HYPOXIA IN SENILE DEMENTIA AND OTHER ABIOTROPHIES
Bowen, D. M., Smith, C. B., White, P., & DAVISON, A. N. (1976) · Brain · doi:10.1093/brain/99.3.459 · Cited by 1,313
SANTACHIARA, A. S. B., Nabholz, M., Miggiano, V., DARLINGTON, A. J., & Bodmer, W. F. (1970) · Nature · doi:10.1038/227248a0 · Cited by 1,128
Insulin receptors are widely distributed in the central nervous system of the rat
Havránková, J., Roth, J., & Brownstein, M. (1978) · Nature · doi:10.1038/272827a0 · Cited by 1,116
Massagué, J., & Czech, M. (1982) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)34631-3 · Cited by 711
Tierney, M. C., Fisher, R. H., Lewis, A. J., Zorzitto, M. L., Snow, W. G., Reid, D. W., & Nieuwstraten, P. (1988) · Neurology · doi:10.1212/wnl.38.3.359 · Cited by 613
Identification of insulin in rat brain.
Havránková, J., Schmechel, D. E., Roth, J., & Brownstein, M. (1978) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.75.11.5737 · Cited by 607
The Human Central Nervous System: A Synopsis and Atlas
Nieuwenhuys, R., Voogd, J., & van Huijzen, C. (2012) · Medical Entomology and Zoology · Cited by 540
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 745
Butterfield, D. A., Favia, M., Spera, I., Campanella, A., Lanza, M., & Castegna, A. (2022) · Molecules · doi:10.3390/molecules27030951 · Cited by 29
The influence of ageing on the insulin signalling system in rat lacrimal and salivary glands
Rocha, E. M., Carvalho, C. R. D. O., Saad, M. J. A., & Velloso, L. A. (2003) · Acta Ophthalmologica Scandinavica · doi:10.1111/j.1395-3907.2003.00162.x · Cited by 28
Gao, Q., Ou, Z., Jiang, T., Tian, Y., Zhou, J., Wu, L., Shi, J., & Zhang, Y.-D. (2017) · Oncotarget · doi:10.18632/oncotarget.15732 · Cited by 28
Baranowska-Bik, A., & Bik, W. (2017) · Menopause Review/Przegląd Menopauzalny · doi:10.5114/pm.2017.68590 · Cited by 30
Alois Alzheimer revisited: differences in origin of the disease carrying his name
Maurer, K., & Hoyer, S. (2006) · Journal of Neural Transmission · doi:10.1007/s00702-006-0592-5 · Cited by 28
Self-citationEl Massry, M., Alaeddine, L. M., Ali, L., Saad, C., & Eid, A. A. (2021) · Current Medicinal Chemistry · doi:10.2174/0929867327666200908114902 · Cited by 27
Murtishaw, A. S., Heaney, C. F., Bolton, M. M., Belmonte, K. C. D., Langhardt, M. A., & Kinney, J. W. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.04.021 · Cited by 27
Intranasal Insulin: a Treatment Strategy for Addiction
Kashyap, B., Hanson, L. R., & Frey, W. H. (2020) · Neurotherapeutics · doi:10.1007/s13311-019-00822-4 · Cited by 27
Atilano, M. L., Grönke, S., Niccoli, T., Kempthorne, L., Hahn, O., Morón-Oset, J., Hendrich, O., Dyson, M. C., Adams, M. L., Hull, A. J., et al. (2021) · eLife · doi:10.7554/elife.58565 · Cited by 27
Ali, S. K., & Ali, R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271138 · Cited by 29
Grünblatt, E., Homolak, J., Perhoč, A. B., Virag, D., Knezović, A., Barilar, J. O., Riederer, P., Walitza, S., Tackenberg, C., & Šalković‐Petrišić, M. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1104985 · Cited by 26
Self-citationRhodopsin-regulated Insulin Receptor Signaling Pathway in Rod Photoreceptor Neurons
Rajala, R. V. S., & Anderson, R. E. (2010) · Molecular Neurobiology · doi:10.1007/s12035-010-8130-8 · Cited by 27
Kumar, T. P., Antony, S., Soman, S. K., Kuruvilla, K. P., George, N., & Paulose, C. S. (2010) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2010.07.004 · Cited by 27
Bernstein, H., Ernst, T., Lendeckel, U., Bukowska, A., Ansorge, S., Stauch, R., ten Have, S., Steiner, J. H., Dobrowolny, H., & Bogerts, B. (2009) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2009.03.006 · Cited by 27
Self-citationCardiovascular Dementia - A Different Perspective
Kumari, U., & Heese, K. (2010) · The Open Biochemistry Journal · doi:10.2174/1874091x01004010029 · Cited by 27
Brain metabolism as a modulator of autophagy in neurodegeneration
Lim, Y., Cho, H., & Kim, E. K. (2016) · Brain Research · doi:10.1016/j.brainres.2016.02.049 · Cited by 27
Löffler, T., Lee, S. K., Nöldner, M., Chatterjee, S. S., Hoyer, S., & Schliebs, R. (2001) · Journal of Neural Transmission · doi:10.1007/s007020100020 · Cited by 27
Self-citationMcIntyre, R. S., Soczynska, J. K., Lewis, G. F., MacQUEEN, G. M., Konarski, J. Z., & Kennedy, S. H. (2006) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.7.10.1305 · Cited by 26
Zhang, B., Tang, X. C., & Zhang, H. (2013) · Journal of Neuroscience Research · doi:10.1002/jnr.23201 · Cited by 26
Farrar, C. E., Huang, C., Clarke, S. G., & Houser, C. R. (2005) · The Journal of Comparative Neurology · doi:10.1002/cne.20780 · Cited by 25
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
DPP4 Inhibitors Can Be a Drug of Choice for Type 3 Diabetes: A Mini Review
Chalichem, N. S. S., Gonugunta, C., Krishnamurthy, P. T., & Basavan, D. (2017) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317517722005 · Cited by 26
A unifying hypothesis of Alzheimer's disease. II. Pathophysiological processes
Heininger, K. (1999) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/(sici)1099-1077(199912)14:8 · Cited by 27
Tramutola, A., Lanzillotta, S., Aceto, G., Pagnotta, S. E., Ruffolo, G., Cifelli, P., Marini, F., Ripoli, C., Palma, E., Grassi, C., et al. (2023) · Antioxidants · doi:10.3390/antiox12010111 · Cited by 27
Glucose control in the older patient: from intensive, to effective and safe
Dominguez, L. J., Paolisso, G., & Barbagallo, M. (2010) · Aging Clinical and Experimental Research · doi:10.1007/bf03337724 · Cited by 25
Barker, R. M., Holly, J. M. P., Biernacka, K. M., Allen, S. J., & Perks, C. M. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00403 · Cited by 25
McNay, E. C., & Recknagel, A. K. (2011) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2011.11.001 · Cited by 26
Classical conditioning and conditionability of insulin and glucose effects in healthy humans
Stockhorst, U., MAHL, N., Krueger, M., Huenig, A., Schottenfeld-Naor, Y., Hübinger, A., Berresheim, H.-W., Steingrüber, H.-J., & Scherbaum, W. A. (2004) · Physiology & Behavior · doi:10.1016/j.physbeh.2003.12.019 · Cited by 25
Maggiore, A., Latina, V., D’Erme, M., Amadoro, G., & Coccurello, R. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102578 · Cited by 25
Nutrients, Cognitive Function, and Brain Aging: What We Have Learned from Dogs
Pan, Y. (2021) · Medical Sciences · doi:10.3390/medsci9040072 · Cited by 30
Evidence of disturbed insulin signaling in animal models of Alzheimer’s disease
Alves, S. S., Servilha‐Menezes, G., Rossi, L., da Silva-Júnior, R. M. P., & Garcia‐Cairasco, N. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105326 · Cited by 25
Diabetes, Insulin and Alzheimer's Disease
Craft, S., & Christen, Y. (2010) · Research and perspectives in Alzheimer's disease · doi:10.1007/978-3-642-04300-0 · Cited by 24
Mammalian Target of Rapamycin at the Crossroad Between Alzheimer’s Disease and Diabetes
Liang, H., Nie, J., Skike, C. E. V., Valentine, J. M., & Orr, M. E. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-3540-2_10 · Cited by 24
Besga, A., Cedazo-Mı́nguez, Á., Kåreholt, I., Solomon, A., Björkhem, I., Winblad, B. G., Leoni, V., Hooshmand, B., Spulber, G., González-Pinto, A. M., et al. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.01.017 · Cited by 24
Peptide derived from insulin with regulatory activity of dopamine transporter
Liu, Z., Wang, Y., Zhao, W., Ding, J., Mei, Z.-T., Guo, L., Cui, D., & Fei, J. (2001) · Neuropharmacology · doi:10.1016/s0028-3908(01)00092-2 · Cited by 24
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
Streptozotocin-induced Alzheimer's disease investigation by one-dimensional plasmonic grating chip
Kadhim, H. J., Al‐Mumen, H., Nahi, H., & Hamidi, S. M. (2022) · Scientific Reports · doi:10.1038/s41598-022-26607-y · Cited by 23
Designing in vitro Blood-Brain Barrier Models Reproducing Alterations in Brain Aging
Osipova, E. D., Komleva, Y. K., Morgun, A. V., Lopatina, O. L., Panina, Y. A., Olovyannikova, R. Y., Vais, E. F., Salmin, V. V., & Salmina, A. B. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00234 · Cited by 25
Ahlawat, A., Walia, V., & Garg, M. (2025) · Acta Neurologica Belgica · doi:10.1007/s13760-024-02706-7 · Cited by 26
Ginsenoside compound K ameliorates Alzheimer’s disease in HT22 cells by adjusting energy metabolism
Chen, X., Li, H., Yang, Q., Lan, X., Wang, J., Cao, Z., Shi, X., Li, J., Kan, M., Qu, X., et al. (2019) · Molecular Biology Reports · doi:10.1007/s11033-019-04988-0 · Cited by 22
A Pathophysiological Intersection of Diabetes and Alzheimer’s Disease
Čater, M., & Hölter, S. M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231911562 · Cited by 25
Moosavi, M., Maghsoudi, N., Zahediasl, S., Naghdi, N., Yousefpour, M., & Trounce, I. A. (2008) · Neuroendocrinology · doi:10.1159/000150441 · Cited by 22
Involvement of nitric oxide in insulin induced memory improvement
Choopani, S., Moosavi, M., & Naghdi, N. (2008) · Peptides · doi:10.1016/j.peptides.2008.01.005 · Cited by 23
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
Insulin Peptides as Mediators of the Impact of Life Style in Alzheimer’s disease
Fernandez, A. M., Santi, A., & Aleman, I. T. (2018) · Brain Plasticity · doi:10.3233/bpl-180071 · Cited by 25
Bernstein, H.-G., Lendeckel, U., Bukowska, A., Ansorge, S., Ernst, T., Stauch, R., Trübner, K., Steiner, J., Dobrowolny, H., & Bogerts, B. (2008) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2007.12.001 · Cited by 22
Self-citationHo, L., Yemul, S., Knable, L., Katsel, P., Zhao, R., Haroutunian, V., & Pasinetti, G. M. (2012) · International Journal of Alzheimer's Disease · doi:10.1155/2012/321280 · Cited by 21
Frazier, H. N., Ghoweri, A. O., Anderson, K. L., Lin, R., Popa, G. J., Mendenhall, M. D., Reagan, L. P., Craven, R. J., & Thibault, O. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00668 · Cited by 21
Guo, Y., Ma, X., Li, P., Dong, S., Huang, X., Ren, X., & Yuan, L. (2020) · Aging · doi:10.18632/aging.202262 · Cited by 21
Hunt, N. J., Wahl, D., Westwood, L. J., Lockwood, G. P., Couteur, D. G. L., & Cogger, V. C. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114537 · Cited by 21
Arcos, J., Grünenwald, F., Sepúlveda, D., Jerez, C., Urbina, V., Huerta, T., Troncoso-Escudero, P., Tirado, D., Perez, A., Díaz‐Espinoza, R., et al. (2023) · Cell Death Discovery · doi:10.1038/s41420-023-01734-1 · Cited by 24
Kamal, A., Ramakers, G. M. J., Gispen, W. H., & Biessels, G. J. (2011) · Brain Research · doi:10.1016/j.brainres.2011.11.057 · Cited by 21
Insulin resistance: an emerging link in Alzheimer’s disease
Medhi, B., & Chakrabarty, M. (2013) · Neurological Sciences · doi:10.1007/s10072-013-1454-1 · Cited by 23
Wei, Y., Gokhale, R. H., Sonnenschein, A., Montgomery, K. M., Ingersoll, A. J., & Arnosti, D. N. (2016) · Development · doi:10.1242/dev.138073 · Cited by 21
Crunfli, F., Mazucanti, C. H., de Moraes, R. C. M., Costa, A. P., Rodrigues, A. C., Scavone, C., & Torrão, A. D. S. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180284 · Cited by 21
Insulin-coated gold nanoparticles as an effective approach for bypassing the blood-brain barrier
Betzer, O., Shilo, M., Motiei, M., & Popovtzer, R. (2019) · Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications · doi:10.1117/12.2510353 · Cited by 21
Šalković-Petrišić, M., & Lacković, Z. (2003) · Journal of Neural Transmission · doi:10.1007/s00702-002-0773-9 · Cited by 21
Sweet memories: 20 years of progress in research on cognitive functioning in diabetes
Biessels, G. J. (2013) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2013.04.055 · Cited by 21
Lee, Y. J., Kim, J. E., Hwang, I. S., Kwak, M. H., Lee, J. H., Jung, Y. J., An, B. S., Kwon, H. S., Kim, B. C., KIM, S. J., et al. (2013) · Molecular Medicine Reports · doi:10.3892/mmr.2013.1404 · Cited by 22
Insulin resistance in Alzheimer's disease: signalling mechanisms and therapeutics strategies
Dahiya, M., Yadav, M., Goyal, C., & Kumar, A. (2025) · Inflammopharmacology · doi:10.1007/s10787-025-01704-2 · Cited by 22
Interaction of insulin and PPAR-α genes in Alzheimer’s disease: the Epistasis Project
Kölsch, H., Lehmann, D. J., Ibrahim‐Verbaas, C. A., Combarros, O., van Duijn, C. M., Hammond, N., Belbin, O., Cortina‐Borja, M., Lehmann, M. G., Aulchenko, Y. S., et al. (2011) · Journal of Neural Transmission · doi:10.1007/s00702-011-0732-4 · Cited by 22
The Role of Cardiovascular Risk Factors in Alzheimer's Disease
Ravona‐Springer, R., Davidson, M., & Noy, S. (2003) · CNS Spectrums · doi:10.1017/s109285290001926x · Cited by 20
Spencer, B. J., Rank, L., Metcalf, J., & Desplats, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-22434-2 · Cited by 20
Lack of insulin resistance in response to streptozotocin treatment in neuronal SH-SY5Y cell line
Bagaméry, F., Varga, K., Kecsmár, K., Vincze, I., Szökő, É., & Tábi, T. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02118-5 · Cited by 20
Yamamoto, K., Sato, K., Chikuma, T., & Kato, T. (2004) · Analytica Chimica Acta · doi:10.1016/j.aca.2004.06.062 · Cited by 20
Salvador, G. A., de Boschero, M. G. I., Pasquaré, S. J., & Giusto, N. M. (2005) · Journal of Neuroscience Research · doi:10.1002/jnr.20565 · Cited by 20
Present and future of Alzheimer therapy
Giacobini, E. (2000) · Springer eBooks · doi:10.1007/978-3-7091-6781-6_24 · Cited by 20
Clusterin as a Potential Biomarker of Obesity-Related Alzheimer’s Disease Risk
Bradley, D. P. (2020) · Biomarker Insights · doi:10.1177/1177271920964108 · Cited by 20
Monitoring Alzheimer’s disease via ultraweak photon emission
Sefati, N., Esmaeilpour, T., Salari, V., Zarifkar, A., Dehghani, F., Ghaffari, M. K., Zadeh‐Haghighi, H., Császár, N., Bókkon, I., Rodrigues, S., et al. (2023) · iScience · doi:10.1016/j.isci.2023.108744 · Cited by 20
Studzińska-Sroka, E., Bulicz, M., Henkel, M., Rosiak, N., Paczkowska‐Walendowska, M., Szwajgier, D., Baranowska‐Wójcik, E., Korybalska, K., & Cielecka‐Piontek, J. (2023) · Molecules · doi:10.3390/molecules29010233 · Cited by 19
The SAMP8 mouse for investigating memory and the role of insulin in the brain
Rhea, E. M., & Banks, W. A. (2016) · Experimental Gerontology · doi:10.1016/j.exger.2016.12.009 · Cited by 19
Molecular Mechanisms of Intranasal Insulin in SAMP8 Mice
Rhea, E. M., Nirkhe, S., Nguyen, S., Pemberton, S., Bammler, T. K., Beyer, R., Niehoff, M. L., Morley, J. E., Farr, S. A., & Banks, W. A. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190707 · Cited by 18
Xing, C., Yin, Y., He, X., & Xie, Z. (2006) · Brain Research · doi:10.1016/j.brainres.2005.10.091 · Cited by 19
Sánchez‐Sarasúa, S., Meseguer-Beltrán, M., Díaz, C. G., Beltrán-Bretones, M. T., Mlili, N. E., & Sánchez‐Pérez, A. M. (2021) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2021.103693 · Cited by 17
A practical guide to genetic engineering of pancreatic β-cellsin vivo: Getting a grip on RIP and MIP
Johnson, J. D. (2014) · Islets · doi:10.4161/19382014.2014.944439 · Cited by 17
Brain gray matter volume differences in obese youth with type 2 diabetes: a pilot study
Redel, J. M., DiFrancesco, M. W., Vannest, J. J., Altaye, M., Beebe, D. W., Khoury, J. C., Dolan, L. M., Lee, G., Brunner, H. I., Holland, S. K., et al. (2018) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2017-0349 · Cited by 18
Frazier, H. N., Ghoweri, A. O., Sudkamp, E., Johnson, E. S., Anderson, K. L., Fox, G. A., Vatthanaphone, K., Xia, M., Lin, R., Hargis-Staggs, K. E., et al. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz105 · Cited by 18
Baram, M., & Miller, Y. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.9b00645 · Cited by 18
Lazar, E. B., Sherzai, A. Z., Adeghate, J. O., & Sherzai, D. (2021) · Frontiers in Bioscience-Scholar · doi:10.52586/s550 · Cited by 18
Polyphenol Ellagic Acid-Targeting To Brain: A Hidden Treasure
Mehan, S., Kaur, R., Parveen, S., Khanna, D., & Kalra, S. (2015) · International Journal of Neurology Research · doi:10.17554/j.issn.2313-5611.2015.01.20 · Cited by 18
Wang, P., Jiang, S. J. Y. G., Cui, Y. B., Yue, Z., Su, C., Sun, J., Sheng, S., & Tian, J. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.10.069 · Cited by 18
Upregulated expression of neuronal nitric oxide synthase by insulin in both neurons and astrocytes
Yuan, Z. R., Liu, B., Zhang, Y., Yuan, L., Muteliefu, G., & Lu, J. (2004) · Brain Research · doi:10.1016/j.brainres.2004.01.076 · Cited by 18
Modulation of Reactive Oxygen Species Homeostasis as a Pleiotropic Effect of Commonly Used Drugs
Thomas, C., Wurzer, L., Malle, E., Ristow, M., & Madreiter‐Sokolowski, C. T. (2022) · Frontiers in Aging · doi:10.3389/fragi.2022.905261 · Cited by 18
Heath, R. J., & Wood, T. R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111826 · Cited by 19
Mehan, S., Arora, R., Sehgal, V., Sharma, D., & Sharm, G. (2012) · InTech eBooks · doi:10.5772/25318 · Cited by 17
Insulin Action in the Brain and the Pathogenesis of Alzheimer’s Disease
Kahn, C. R., & Suzuki, R. (2010) · Research and perspectives in Alzheimer's disease · doi:10.1007/978-3-642-04300-0_1 · 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
Gupta, S. N., Singhal, N. K., Ganesh, S., & Sandhir, R. (2018) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527317666181114163515 · Cited by 16
PAM (PIK3/AKT/mTOR) signaling in glia: potential contributions to brain tumors in aging
Duggan, M. R., Weaver, M. W., & Khalili, K. (2021) · Aging · doi:10.18632/aging.202459 · Cited by 16
Knezović, A., Budisa, S., Perhoč, A. B., Homolak, J., & Barilar, J. O. (2023) · Molecular Neurobiology · doi:10.1007/s12035-022-03188-5 · Cited by 16
O-GlcNAcylation of Amyloid-β Protein Precursor by Insulin Signaling Reduces Amyloid-β Production
Kwon, O.-H., Cho, Y. Y., Kim, T., & Chung, S. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190060 · Cited by 16
Potential new therapeutic target for Alzheimer's disease: Glucagon‐like peptide‐1
Liu, X., Zhang, N., Zhang, S., & Xu, P. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15502 · Cited by 16
Endocrine dysfunction and cognitive impairment
Calsolaro, V., Bottari, M., Coppini, G., Lemmi, B., & Monzani, F. (2021) · Minerva Endocrinology · doi:10.23736/s2724-6507.20.03295-2 · Cited by 16
Curcumin restores diabetes induced neurochemical changes in the brain stem of Wistar rats
Kumar, P. T., George, N., Antony, S., & Paulose, C. S. (2013) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2013.01.012 · Cited by 16
Lipid−Protein Interactions of Growth Factor Receptor-Bound Protein 14 in Insulin Receptor Signaling
Rajala, R. V. S., Chan, M. D., & Rajala, A. (2005) · Biochemistry · doi:10.1021/bi0513148 · Cited by 16
Expert Consensus on Cognitive Dysfunction in Diabetes
Yang, Y., Zhao, J., & Yu, X. (2022) · Current Medical Science · doi:10.1007/s11596-022-2549-9 · Cited by 18
Alzheimer′s disease: Unique markers for diagnosis & new treatment modalities
Aggarwal, N. T., Shah, R. C., & Bennett, D. A. (2015) · The Indian Journal of Medical Research · doi:10.4103/0971-5916.169193 · Cited by 19
Chan, E. S., Chen, C., Soong, T. W., & Wong, B. (2018) · NeuroMolecular Medicine · doi:10.1007/s12017-018-8480-3 · Cited by 14
Nonesterified fatty acids, cognitive decline, and dementia
Mukamal, K. J. (2019) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000656 · Cited by 16
Integrated DNA Methylation/RNA Profiling in Middle Temporal Gyrus of Alzheimer’s Disease
Piras, I. S., Brokaw, D. L., Kong, Y., Weisenberger, D. J., Krate, J., Delvaux, E., Mahurkar‐Joshi, S., Blattler, A., Siegmund, K. D., Sue, L. I., et al. (2023) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-022-01307-3 · Cited by 15
Metadata
- Authors
- Frölich, L., Blum-Degen, D., Bernstein, H.-G., Engelsberger, S., Humrich, J., Laufer, S., Muschner, D., Thalheimer, A., Türk, A., Hoyer, S., Zöchling, R., Boissl, K. W., Jellinger, K., & Riederer, P.
- Affiliations
- Goethe University Frankfurt (DE)
- University of Würzburg (DE)
- Otto-von-Guericke-Universität Magdeburg (DE)
- Heidelberg University (DE)
- Ludwig Boltzmann für Klinische Neurobiologie (AT)
- Venue
- Journal of Neural Transmission
- Published
- 1998
- Volume
- 105
- Issue
- 4
- Pages
- 423
- ISSN
- 0300-9564 (ISSN-L)
- OpenAlex
- W2087443596
- Cited by
- 748
- References
- 61
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 15 · 2023: 24 · 2022: 35 · 2021: 39 · 2020: 36 · 2019: 49 · 2018: 39 · 2017: 26 · 2016: 27 · 2015: 38 · 2014: 31 · 2013: 36 · 2012: 41
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Neural Transmission (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Julius-Maximilians-Universität Würzburg
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- sporadic Alzheimer's disease, brain insulin, insulin receptor, C-peptide, insulin-like growth factor I, IGF-1 receptor, tyrosine kinase activity, insulin signaling, brain aging, insulin immunoreactivity, pyramidal neurons, glucose metabolism
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, C-Peptide, Frontal Lobe, Humans, Insulin, Middle Aged, Neurons, Occipital Lobe, Parietal Lobe, Receptor, Insulin, Reference Values, Temporal Lobe
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