The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.
Impaired insulin action in the human brain: causes and metabolic consequences
Abstract
Over the past few years, evidence has accumulated that the human brain is an insulin-sensitive organ. Insulin regulates activity in a limited number of specific brain areas that are important for memory, reward, eating behaviour and the regulation of whole-body metabolism. Accordingly, insulin in the brain modulates cognition, food intake and body weight as well as whole-body glucose, energy and lipid metabolism. However, brain imaging studies have revealed that not everybody responds equally to insulin and that a substantial number of people are brain insulin resistant. In this Review, we provide an overview of the effects of insulin in the brain in humans and the relevance of the effects for physiology. We present emerging evidence for insulin resistance of the human brain. Factors associated with brain insulin resistance such as obesity and increasing age, as well as possible pathogenic factors such as visceral fat, saturated fatty acids, alterations at the blood-brain barrier and certain genetic polymorphisms, are reviewed. In particular, the metabolic consequences of brain insulin resistance are discussed and possible future approaches to overcome brain insulin resistance and thereby prevent or treat obesity and type 2 diabetes mellitus are outlined.
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
“although other factors, such as genetic background19, elevated circulating free fatty acids20 and impaired insulin transport across the blood–brain barrier21,22, have also been implicated.”
From Brain insulin action on peripheral insulin sensitivity in women depends on menstrual cycle phase (2023) · cites this paper as [19]
Citations
Cites
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
Lippa, N. C., & Sanderson, S. C. (2013) · Human Heredity · doi:10.1159/000353712 · Cited by 6,095
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
Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., et al. (2007) · Science · doi:10.1126/science.1141634 · Cited by 4,531
Critical nodes in signalling pathways: insights into insulin action
Taniguchi, C. M., Emanuelli, B., & Kahn, C. R. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1837 · Cited by 2,760
Central nervous system control of food intake and body weight
Morton, G. J., Cummings, D. E., Baskin, D. G., Barsh, G. S., & Schwartz, M. W. (2006) · Nature · doi:10.1038/nature05026 · Cited by 2,503
Role of Brain Insulin Receptor in Control of Body Weight and Reproduction
Brüning, J. C., Gautam, D., Burks, D. J., Gillette, J., Schubert, M., Orban, P. C., Klein, R., Krone, W., Müller-Wieland, D., & Kahn, C. R. (2000) · Science · doi:10.1126/science.289.5487.2122 · Cited by 2,235
Role of Fatty Acids in the Pathogenesis of Insulin Resistance and NIDDM
Boden, G. (1997) · Diabetes · doi:10.2337/diab.46.1.3 · Cited by 1,728
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 244
Wingrove, J. O., O’Daly, O., Forbes, B., Swedrowska, M., Amiel, S. A., & Zelaya, F. O. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14213 · Cited by 28
Prieto-Almeida, F., Panveloski-Costa, A. C., Crunfli, F., Teixeira, S. D. S., Nunes, M. T., & Torrão, A. D. S. (2017) · Life Sciences · doi:10.1016/j.lfs.2017.11.013 · Cited by 27
Yagin, N. L., Aliasgari, F., Alizadeh, M., Aliasgharzadeh, S., & Mahdavi, R. (2020) · Nutrition Research · doi:10.1016/j.nutres.2020.09.001 · Cited by 27
Smith, P. J., Mabe, S., Sherwood, A., Doraiswamy, P. M., Welsh-Bohmer, K. A., Burke, J. R., Kraus, W. E., Lin, P., Browndyke, J. N., Babyak, M. A., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200374 · Cited by 30
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
Obesity during preclinical Alzheimer's disease development exacerbates brain metabolic decline
Anderson, T., Sharma, S. K., Kelberman, M. A., Ware, C. B., Guo, N., Qin, Z. S., Weinshenker, D., & Parent, M. B. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15900 · Cited by 26
Effects of 5-HT and insulin on learning and memory formation in food-deprived snails
Aonuma, H., Totani, Y., Kaneda, M., Nakamura, R., Watanabe, T., Hatakeyama, D., Dyakonova, V. E., Lukowiak, K., & Ito, E. (2017) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2017.12.010 · Cited by 27
Emoto, N., Okajima, F., Sugihara, H., & Goto, R. (2016) · Patient Preference and Adherence · doi:10.2147/ppa.s116198 · Cited by 27
Drummen, M., Dorenbos, E., Vreugdenhil, A. C. E., Stratton, G., Raben, A., Westerterp‐Plantenga, M. S., & Adam, T. C. (2018) · Nutrients · doi:10.3390/nu10111771 · Cited by 27
Kim, H. K., & Song, J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23062982 · Cited by 33
Role of insulin in the neuroendocrine control of reproduction
Evans, M. C., Hill, J. W., & Anderson, G. M. (2021) · Journal of Neuroendocrinology · doi:10.1111/jne.12930 · Cited by 24
New Insights into Mitochondrial–Nuclear Interactions Revealed through Analysis of Small RNAs
Pozzi, A., & Dowling, D. K. (2022) · Genome Biology and Evolution · doi:10.1093/gbe/evac023 · Cited by 24
Dybjer, E., Kumar, A., Nägga, K., Engström, G., Mattsson, N., Nilsson, P. M., Melander, O., & Hansson, O. (2023) · Brain Communications · doi:10.1093/braincomms/fcad054 · Cited by 25
To Do or Not to Do: Dopamine, Affordability and the Economics of Opportunity
Beeler, J. A., & Mourra, D. (2018) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2018.00006 · Cited by 28
Aliasghari, F., Yagin, N. L., & Mahdavi, R. (2018) · Physiology & Behavior · doi:10.1016/j.physbeh.2018.11.013 · Cited by 26
Fang, X., Xia, T., Xu, F., Wu, H., Ma, Z., Zhao, X., & Gu, X. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146511 · Cited by 23
Dai, C., Li, H., Hu, X. Y., Zhang, J., Liu, F., Iqbal, K., & Gong, C. (2020) · Neurotoxicity Research · doi:10.1007/s12640-020-00223-y · Cited by 24
Fan, L., Zhang, S., Li, X., Hu, Z., Yang, J., Zhang, S., Zheng, H., Su, Y., Luo, H., Liu, X., et al. (2022) · Brain Pathology · doi:10.1111/bpa.13124 · Cited by 24
Chen, H., Wu, Y., Huang, G., He, W., Lin, S., Zhang, X., & He, J. (2018) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2018.07.007 · Cited by 24
Ahlawat, A., Walia, V., & Garg, M. (2025) · Acta Neurologica Belgica · doi:10.1007/s13760-024-02706-7 · Cited by 26
Davoodian, N., Lotfaliany, M., Huxley, R., Lee, C., Pasco, J. A., Adams, R., Azizi, F., Bertoni, A. G., Björkelund, C., Colagiuri, S., et al. (2025) · The Lancet Global Health · doi:10.1016/s2214-109x(25)00237-2 · Cited by 22
Jamar, G., Santamarina, A. B., Mennitti, L. V., César, H., Oyama, L. M., de Rosso, V. V., & Pisani, L. P. (2018) · Journal of Functional Foods · doi:10.1016/j.jff.2018.05.002 · Cited by 22
Dybjer, E., Engström, G., Helmer, C., Nägga, K., Rorsman, P., & Nilsson, P. M. (2020) · Diabetic Medicine · doi:10.1111/dme.14267 · Cited by 22
Shi, Y., Sun, X.-C., Sun, Y., Hou, L., Yao, M., Lian, K., Li, J., Lu, X., & Jiang, L. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.11.067 · Cited by 21
Lee, Y. L., Smofsky, A., Nykoliation, P., Allain, S., Lewis-Daly, L., Schwartz, J., Pollack, J. H., Tarride, J., & McIntyre, R. S. (2017) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.06.013 · Cited by 21
Expression of GLP-1 receptors in insulin-containing interneurons of rat cerebral cortex
Csajbók, É., Kocsis, Á. K., Faragó, N., Furdan, S., Kovács, B., Lovas, S., Molnár, G., Likó, I., Zvara, Á., Puskás, L. G., et al. (2019) · Diabetologia · doi:10.1007/s00125-018-4803-z · Cited by 19
Ogawa, A., Osada, T., Tanaka, M., Kamagata, K., Aoki, S., & Konishi, S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117205 · Cited by 19
Resting-state functional connectivity of the human hypothalamus
Kullmann, S., & Veit, R. (2021) · Handbook of clinical neurology · doi:10.1016/b978-0-12-819975-6.00005-4 · Cited by 19
Self-citationSantiago, J. C. P., & Hallschmid, M. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00054 · Cited by 18
An insulin resistance associated neural correlate of impulsivity in type 2 diabetes mellitus
Eckstrand, K., Mummareddy, N., Kang, H., Cowan, R. L., Zhou, M., Zald, D. H., Silver, H. J., Niswender, K. D., & Avison, M. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0189113 · Cited by 20
Fetal programming of human energy homeostasis brain networks: Issues and considerations
Rasmussen, J. M., Thompson, P. M., Entringer, S., Buß, C., & Wadhwa, P. D. (2021) · Obesity Reviews · doi:10.1111/obr.13392 · Cited by 20
Altered Brain Adiponectin Receptor Expression in the 5XFAD Mouse Model of Alzheimer’s Disease
Pratap, A. A., & Holsinger, R. M. D. (2020) · Pharmaceuticals · doi:10.3390/ph13070150 · Cited by 16
Tyagi, A., Musa, M., Labeikovsky, W., & Pugazhenthi, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-23652-5 · Cited by 18
Frank, S., von Schnurbein, J., Veit, R., Heni, M., Machann, J., Heinze, J. M., Kullmann, S., Manzoor, J., Mahmood, S., Häring, H., et al. (2018) · Diabetes Care · doi:10.2337/dc17-1867 · Cited by 17
Self-citationBatra, A., Chen, L. M., Wang, Z., Parent, C. I., Pokhvisneva, I., Patel, S. H., Levitan, R. D., Meaney, M. J., & Silveira, P. P. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.704785 · Cited by 16
Hypothalamic neuronal-glial crosstalk in metabolic disease
Nguyen, L. T., & Dodd, G. T. (2024) · npj Metabolic Health and Disease · doi:10.1038/s44324-024-00026-1 · Cited by 22
Umegaki, H. (2016) · Drugs & Aging · doi:10.1007/s40266-016-0375-0 · Cited by 17
Torabi, N., Noursadeghi, E., Shayanfar, F., Nazari, M., Fahanik‐Babaei, J., Saghiri, R., Khodagholi, F., & Eliassi, A. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2021.166075 · Cited by 15
Molecular effects of dietary fatty acids on brain insulin action and mitochondrial function
Chudoba, C., Wardelmann, K., & Kleinridders, A. (2019) · Biological Chemistry · doi:10.1515/hsz-2018-0477 · Cited by 16
Plomgaard, P., Hansen, J. S., Ingerslev, B., Clemmesen, J. O., Secher, N. H., van Hall, G., Fritsche, A., Weigert, C., Lehmann, R., Häring, H., et al. (2019) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13615 · Cited by 16
Self-citationGwizdala, K. L., Ferguson, D. P., Kovan, J. R., Novak, V., & Pontifex, M. B. (2021) · Metabolic Brain Disease · doi:10.1007/s11011-021-00727-2 · Cited by 16
Marinho, A., Severo, M., Vilela, S., Costa, R. A., de Lauzon‐Guillain, B., Torres, D. P. M., & Lopes, C. M. M. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.11.029 · Cited by 15
Ramírez-Expósito, M. J., Martínez-Martos, J. M., Cantón-Habas, V., & Carrera-González, M. P. (2020) · Current Neuropharmacology · doi:10.2174/1570159x18666201111103024 · Cited by 17
Mancuso, E., Spiga, R., Rubino, M., Averta, C., Rotundo, S., Segura‐Garcìa, C., Mannino, G. C., Sesti, G., & Andreozzi, F. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.12.135 · Cited by 14
Insulin resistance in diabetes: The promise of using induced pluripotent stem cell technology
Elsayed, A. K., Vimalraj, S., Nandakumar, M., & Abdelalim, E. M. (2021) · World Journal of Stem Cells · doi:10.4252/wjsc.v13.i3.221 · Cited by 15
Tsuneki, H., Yoshida, H., Endo, K., Mori, N., Hosoh, S., Tsuda, M., Wada, T., & Sasaoka, T. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.032 · Cited by 14
Family History of Diabetes Is Associated With Delayed Fetal Postprandial Brain Activity
Schleger, F., Linder, K., Walter, L., Heni, M., Brändle, J., Brucker, S. Y., Pauluschke‐Fröhlich, J., Weiß, M., Häring, H., Preissl, H. T., et al. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00673 · Cited by 14
Self-citationBrain substrate metabolism and ß‐cell function in humans: A positron emission tomography study
Rebelos, E., Mari, A., Bucci, M., Honka, M., Hannukainen, J. C., Virtanen, K. A., Hirvonen, J., Nummenmaa, L., Heni, M., Iozzo, P., et al. (2020) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.136 · Cited by 14
Self-citationEctopic fat accumulation in human astrocytes impairs insulin action
Heni, M., Eckstein, S. S., Schittenhelm, J., Böhm, A., Hogrefe, N., Irmler, M., Beckers, J., de Angelis, M. H., Häring, H., Fritsche, A., et al. (2020) · Royal Society Open Science · doi:10.1098/rsos.200701 · Cited by 14
Self-citationRational design of oral delivery nanosystems for hypoglycemic peptides
Peng, T., Shao, X., Li, L., Liu, H., Song, W., Hou, J., Zhong, H., Ding, Y., & Huang, Y. (2023) · Nano Today · doi:10.1016/j.nantod.2023.102031 · Cited by 13
Larijani, S. F., Hassanzadeh, G., Zahmatkesh, M., Radfar, F., & Farahmandfar, M. (2023) · Behavioural Brain Research · doi:10.1016/j.bbr.2023.114814 · Cited by 13
Chemokine CX3CL1 (Fractalkine) Signaling and Diabetic Encephalopathy
Wątroba, M., Grabowska, A. D., & Szukiewicz, D. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25147527 · Cited by 13
Insulin and disorders of behavioural flexibility
Sullivan, M., Fernández‐Aranda, F., Camacho‐Barcia, L., Harkin, A., Macrì, S., Mora‐Maltas, B., Jiménez‐Múrcia, S., O’Leary, A., Ottomana, A. M., Presta, M., et al. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105169 · Cited by 15
Metabolic pathways in the periphery and brain: Contribution to mental disorders?
Nagalski, A., Koziński, K., & Wisniewska, M. B. (2016) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2016.09.012 · Cited by 14
Hsieh, S., Raine, L. B., Ortega, F. B., & Hillman, C. H. (2021) · Journal of Cognitive Enhancement · doi:10.1007/s41465-021-00230-7 · Cited by 14
Task-related fMRI BOLD response to hyperinsulinemia in healthy older adults
Williams, V. J., Trombetta, B. A., Jafri, R. Z., Koenig, A. M., Wennick, C. D., Carlyle, B. C., Ekhlaspour, L., Ahima, R. S., Russell, S. J., Salat, D. H., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.129700 · Cited by 12
Bariatric surgery restores visual cortical plasticity in nondiabetic subjects with obesity
Daniele, G., Lunghi, C., Dardano, A., Binda, P., Ceccarini, G., Santini, F., Giusti, L., Ciccarone, A., Bellini, R., Moretto, C., et al. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00851-0 · Cited by 12
Insulin-like growth factor I sensitization rejuvenates sleep patterns in old mice
Zegarra-Valdivia, J. A., Fernandes, J., de Sevilla, M. E. F., Trueba-Sáiz, Á., Pignatelli, J., Suda, K., Martinez‐Rachadell, L., Fernandez, A. M., Esparza, J., Vega, M., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00589-1 · Cited by 12
Páníková, T., Mitrová, K., Halamová, T., Mrzílková, K., Pícha, J., Chrudinová, M., Kurochka, A. S., Selicharová, I., Žáková, L., & Jiráček, J. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01388 · Cited by 11
Malkki-Keinänen, K., Lankinen, M. A., Karhunen, L. J., & Schwab, U. (2022) · Nutrition and Health · doi:10.1177/02601060221112178 · Cited by 13
PKCα Isoform Inhibits Insulin Signaling and Aggravates Neuronal Insulin Resistance
Mishra, D., Reddy, I., & Dey, C. S. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03486-6 · Cited by 10
Deconstructing Diabetes and Depression: Clinical Context, Treatment Strategies, and New Directions
Gregory, J. M., Rosenblat, J. D., & McIntyre, R. S. (2016) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20150040 · Cited by 11
Li, N., Yan, Q., Jing, Q., Pan, R., Wang, H.-J., Jiang, B., Li, X.-J., Wang, Y., Dong, J., Wang, X., et al. (2019) · Obesity Surgery · doi:10.1007/s11695-019-04153-3 · Cited by 10
Grandl, G., Colldén, G., Feng, J. B., Bhattacharya, S., Klingelhuber, F., Schomann, L., Bilekova, S., Ansarullah, M., Xu, W., Far, F. F., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-00991-3 · Cited by 10
Zhang, W., Lu, J., Zhao, Q., Zhang, X., Zhao, H., Bi, Y., Zhang, B., & Initiative, T. A. D. N. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.781938 · Cited by 9
Factors Associated With Mild Cognitive Impairment in Patients With Type 2 Diabetes: A Cohort Study
Tlemçani, F. Z. R., Elamari, S., Motaib, I., Laidi, S., Idrissi, N. A., Ahid, S., & Chadli, A. (2022) · Cureus · doi:10.7759/cureus.28305 · Cited by 9
Teixeira, M. M., Passos, V. M. D. A., Barreto, S. M., Schmidt, M. I., Duncan, B. B., Beleigoli, A. M. R., da Fonseca, M. D. J. M., Vidigal, P. G., de Figueiredo, R. C., Colosimo, E. A., et al. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108499 · Cited by 10
Branched Chain Amino Acids at the Edge Bet
Haydar, S. (2018) · Acta Endocrinologica (Bucharest) · doi:10.4183/aeb.2018.238 · Cited by 11
Cerebrovascular insulin receptors are defective in Alzheimerˈs diseasePreprint
Leclerc, M., Bourassa, P., Tremblay, C., Caron, V., Sugère, C., Émond, V., Bennett, D. A., & Calon, F. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.01.470582 · Cited by 9
Popescu, I. R., Lenain, M., Rovini, E., & Ruthsatz, M. (2025) · American Journal of Lifestyle Medicine · doi:10.1177/15598276251330170 · Cited by 7
Niemiro, G. M., Skinner, S. K., Walk, A. M., Edwards, C., Lisio, M. D., Holscher, H. D., Burd, N. A., & Khan, N. A. (2018) · Obesity · doi:10.1002/oby.22276 · Cited by 7
Philippou, E., Pot, G. K., Heraclides, A., Richards, M., & Bendayan, R. (2018) · Public Health Nutrition · doi:10.1017/s136898001800352x · Cited by 8
Exploring peripheral biomarkers of response to simvastatin supplementation in schizophrenia.
Zaki, J. K., Lago, S. G., Spadaro, B., Rustogi, N., Gangadin, S., Benáček, J., Drexhage, H., de Witte, L., Kahn, R. S., Sommer, I., et al. (2024) · Schizophrenia Research · doi:10.1016/j.schres.2024.02.011 · Cited by 5
Pharmacokinetics and pharmacodynamics of intranasal insulin in a rat brain
Barilar, J. O., Vlahov, L., Perhoč, A. B., Homolak, J., Virag, D., Barone, E., Šalković‐Petrišić, M., & Knezović, A. (2025) · British Journal of Pharmacology · doi:10.1111/bph.70057 · Cited by 7
BACE1 Inhibition Protects Against Type 2 Diabetes Mellitus by Restoring Insulin Receptor in Mice
Lin, T., Liang, T. X., Shen, Y., & Gao, F. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26115100 · Cited by 6
Disruption of Endoplasmic Reticulum Proteostasis in Age-Related Nervous System Disorders
Medinas, D. B., Hazari, Y., & Hetz, C. A. (2021) · Progress in molecular and subcellular biology · doi:10.1007/978-3-030-67696-4_12 · Cited by 7
Lee, S., Kim, H., Choi, I., Lee, S., & Min, K. H. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.118102 · Cited by 5
Atar, A., & Şahin, İ. N. (2026) · Current Nutrition Reports · doi:10.1007/s13668-026-00743-7 · Cited by 5
Therapeutic Repurposing of Antidiabetic Drugs in Diabetes-associated Comorbidities
Pathak, K., Pathak, M. P., Saikia, R., Gogoi, U., Das, R. J., Patowary, P., Kaishap, P. P., Bordoloi, S., Das, J., Sarma, H., et al. (2023) · Current Drug Therapy · doi:10.2174/1574885518666230516150404 · Cited by 6
Huddleston, H. G., Casaletto, K. B., Greenwood, E. A., Rasgon, N., Maki, P. P., Cedars, M. I., & Pasch, L. A. (2022) · F&S Reports · doi:10.1016/j.xfre.2022.08.008 · Cited by 6
Gastrodin ameliorates cognitive dysfunction in diabetes by inhibiting PAK2 phosphorylation
Mu, Z., Zhao, Z.-M., Yang, S.-S., Zhou, L., Liu, Y., Qian, Z., Liu, X., Zhao, P., Tang, R.-B., Li, J., et al. (2023) · Aging · doi:10.18632/aging.204970 · Cited by 5
Can Avicenna Help Manage the Diabetes Epidemic in Central Asia?
Sharofova, M. U., Nuraliev, Y., Sukhrobov, P., Самаровна, С. Ш., & Dushenkov, S. (2017) · Central Asian Journal of Medical Sciences · doi:10.24079/cajms.2017.11.002 · Cited by 5
Insulin normalized brain metabolic status on a Model of Anorexia Nervosa in Mice
Avraham, Y., Heukelom, B. V., Zolotarev, O., Magen, I., Vorobiev, L., & Zwas, D. R. (2022) · Physiology & Behavior · doi:10.1016/j.physbeh.2022.113738 · Cited by 5
Can Alzheimer's Disease Be Secondary to Type-2 Diabetes Mellitus?
Jangra, V., & Tople, J. P. (2022) · Cureus · doi:10.7759/cureus.31273 · Cited by 5
100 years of physiology, discrimination and wonder
Russell-Jones, D. L., & Herring, R. A. (2021) · Diabetic Medicine · doi:10.1111/dme.14642 · Cited by 4
Hwang, J., Hillman, C. H., Lee, I.-M. M., Fernandez, A. M., & Lu, A. S. (2020) · Games for Health Journal · doi:10.1089/g4h.2020.0018 · Cited by 4
DUAN, Y., Ke, X., Wu, H., Yao, S., Shi, W., Han, J., Zhu, R., Wang, J., Jia, Y., Yang, T., et al. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15298 · Cited by 4
Albar, N. Y., Hassaballa, H., Shikh, H., Albar, Y., Ibrahim, A. S., Mousa, A. H., Alshanberi, A. M., Elgebaly, A. S., & Bahbah, E. I. (2024) · Postgraduate Medicine · doi:10.1080/00325481.2024.2360887 · Cited by 4
RetractedZakharova, I. O., Bayunova, L. V., Derkach, K. V., Ilyasov, I. O., Shpakov, A. O., & Avrova, N. F. (2022) · Journal of Evolutionary Biochemistry and Physiology · doi:10.1134/s0022093022020077 · Cited by 4
Yang, M., & Liang, Z. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1839620 · Cited by 3
Impact of Brain Fatty Acid Signaling on Peripheral Insulin Action in Mice
Neschen, S., Wu, M., Fuchs, C., Kondofersky, I., Theis, F. J., de Angelis, M. H., Häring, H., & Sartorius, T. (2018) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-0735-9533 · Cited by 3
Self-citationInsulin resistance in drug naive patients with multiple sclerosis
Kostić, S., Kolić, I., Raičević, R., Stojanović, Z., Kostić, D., & Dinčić, E. (2016) · Vojnosanitetski pregled · doi:10.2298/vsp160218082k · Cited by 3
Metabolic Syndrome, Hormones, and Exercise
Δίπλα, Κ., Zafeiridis, A., & Tordjman, K. M. (2020) · Contemporary Endocrinology · doi:10.1007/978-3-030-33376-8_29 · Cited by 3
Discovery of insulin 100 years on
Russell-Jones, D. L., & Bawlchhim, Z. (2022) · Postgraduate Medical Journal · doi:10.1136/postgradmedj-2022-141651 · Cited by 3
Chen, Y.-H., Chen, C., Jian, H.-Y., Chen, Y.-C., Fan, Y., Yang, C., & Cheng, Y. (2022) · Brain Communications · doi:10.1093/braincomms/fcad022 · Cited by 6
Striatal DAT availability does not change after supraphysiological glucose loading dose in humans
Pak, K., Seo, S., Lee, M. J., Kim, K., Suh, S., Im, H., & Kim, I. J. (2021) · Endocrine Connections · doi:10.1530/ec-21-0355 · Cited by 2
Vercalsteren, E., Karampatsi, D., Dekens, D. W., Letsiou, A., Zabala, A., Romanitan, M. O., Klein, T., Nyström, T., Darsalia, V., & Patrone, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043989 · Cited by 2
Ding, H., Kang, T., Gao, W., Wang, Q., Liu, S., Zhang, X.-W., & Yu, J. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-05999-2 · Cited by 2
Maternal Insulin Sensitivity and Fetal Brain Activity
Schleger, F., Linder, K., Fritsche, A., & Preissl, H. T. (2017) · Springer eBooks · doi:10.1007/978-3-319-60289-9_6 · Cited by 2
Self-citationDaytime sleepiness and specific food cravings: The moderating role of insulin sensitivity
Romaker, E. K., Krueger, M. J., Goldfinger, M., Gonzalez, A., Forster, D. E., Wohlgemuth, W. K., McIntosh, R. C., & Hurwitz, B. E. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343407 · Cited by 2
Metadata
- Authors
- Heni, M., Kullmann, S., Preissl, H., Fritsche, A., & Häring, H.-U.
- Affiliations
- German Center for Diabetes Research (DE)
- Corresponding author
- Heni, Martin
- Venue
- Nature Reviews Endocrinology
- Published
- 2015-10-13
- Volume
- 11
- Issue
- 12
- Pages
- 701-711
- ISSN
- 1759-5029 (ISSN-L)
- 1759-5037
- OpenAlex
- W2199402593
- Cited by
- 245
- References
- 158
- Citations by year
- 2026: 15 · 2025: 7 · 2024: 10 · 2023: 22 · 2022: 28 · 2021: 24 · 2020: 25 · 2019: 32 · 2018: 23 · 2017: 28 · 2016: 29 · 2015: 1
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Endocrinology (publishedVersion)
- PubMed (publishedVersion)
- Site cant be reached (submittedVersion)
- Funders
- Bundesministerium für Bildung und Forschung
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- brain insulin resistance, obesity, type 2 diabetes, visceral fat, saturated fatty acids, blood-brain barrier, genetic polymorphism, food intake regulation, energy metabolism, whole-body glucose metabolism, lipid metabolism, cognitive function, eating behaviour
- MeSH terms
- Body Weight, Brain Chemistry, Cognition, Diabetes Mellitus, Type 2, Feeding Behavior, Humans, Insulin, Insulin Resistance
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