The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Limited Alzheimer-Type Neurodegeneration in Experimental Obesity and Type 2 Diabetes Mellitus
Open accessAbstract
Alzheimer's disease (AD) is associated with brain insulin resistance and insulin deficiency, whereas Type 2 diabetes mellitus (T2DM) is associated with peripheral insulin resistance. This study assesses the degree to which T2DM causes AD-type neurodegeneration. In a C57BL/6 mouse model of obesity and T2DM, we characterized the histopathology, gene expression, and insulin and insulin-like growth factor (IGF)-receptor binding in temporal lobe. High fat diet (HFD) feeding for 16 weeks doubled mean body weight, caused T2DM, and marginally reduced mean brain weight. These effects were associated with significantly increased levels of tau, IGF-I receptor, insulin receptor substrate-1 (IRS-1), IRS-4, ubiquitin, glial fibrillary acidic protein, and 4-hydroxynonenol, and decreased expression of beta-actin. HFD feeding also caused brain insulin resistance manifested by reduced BMAX for insulin receptor binding, and modestly increased brain insulin gene expression. However, HFD-fed mouse brains did not exhibit AD histopathology, increases in amyloid-beta or phospho-tau, or impairments in IGF signaling or acetylcholine homeostasis. Obesity and T2DM cause brain atrophy with insulin resistance, oxidative stress, and cytoskeleton degradation, but the absence of many features that typify AD suggests that obesity and T2DM may contribute to, but are not sufficient to cause AD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“Recent evidence suggests that insulin resistance, a hallmark of diabetes, develops in Alzheimer’s brains (, 2000; Craft et al., 1999; de la Monte, 2009; Moroz et al., 2008; Pedersen and Flynn, 2004; Razay and Wilcock, 1994; Watson and Craft, 2003).”
From The Aβ oligomer hypothesis for synapse failure and memory loss in Alzheimer’s disease (2011) · cites this paper as Moroz et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760
Steen, E., Terry, B. M., J. Rivera, E., Cannon, J. L., Neely, T. R., Tavares, R., Xu, X. J., Wands, J. R., & de la Monte, S. M. (2005) · Journal of Alzheimer's Disease · doi:10.3233/jad-2005-7107 · Cited by 1,703
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
Intranasal insulin improves cognition and modulates β-amyloid in early AD
Reger, M. A., Watson, G. S., Green, P. S., Wilkinson, C. W., Baker, L. D., Cholerton, B., Fishel, M. A., Plymate, S. R., Breitner, J. C. S., DeGroodt, W., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000265401.62434.36 · Cited by 830
Aggregation of vascular risk factors and risk of incident Alzheimer disease
Luchsinger, J. A., Reitz, C., Honig, L. S., Tang, M. X., Shea, S., & Mayeux, R. (2005) · Neurology · doi:10.1212/01.wnl.0000172914.08967.dc · Cited by 790
Adipokines: The missing link between insulin resistance and obesity
Antuna-Puente, B., Fève, B., Fellahi, S., & Bastard, J. (2008) · Diabetes & Metabolism · doi:10.1016/j.diabet.2007.09.004 · Cited by 760
Rivera, E. J., Goldin, A., Fulmer, N., Tavares, R., Wands, J. R., & de la Monte, S. M. (2005) · Journal of Alzheimer s Disease · doi:10.3233/jad-2005-8304 · Cited by 723 · cited 5×
“…A β PP gene expression; 4) pro-inflammatory cytokine activation; 5) impairments in IGF-I and IGF-II receptor binding; 6) reduced expression of IGF-I and IGF-II polypeptide and receptor genes;and 7) impairments in acetylcholine homeostasis [14,32,50,56] were not present in ourmod-el of obesity/T2DM.”
InfluentialIntranasal insulin improves memory in humans
Benedict, C., Hallschmid, M., Hatke, A., Schultes, B., Fehm, H. L., Born, J., & Kern, W. (2004) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2004.04.003 · Cited by 699
Reger, M. A., Watson, G. S., Frey, W. H., Baker, L. D., Cholerton, B., Keeling, M. L., Belongia, D., Fishel, M. A., Plymate, S. R., Schellenberg, G. D., et al. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.03.016 · Cited by 619
Relation of diabetes to mild cognitive impairment
Luchsinger, J. A., Reitz, C., Patel, B., Tang, M.-X., Manly, J. J., & Mayeux, R. (2007) · Archives of Neurology · doi:10.1001/archneur.64.4.570 · Cited by 592
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–151 of 151
Terzo, S., Calvi, P., Nuzzo, D., Picone, P., Galizzi, G., Caruana, L., Carlo, M. D., Lentini, L., Puleio, R., Mulè, F., et al. (2022) · Nutrients · doi:10.3390/nu14040756 · Cited by 14
Daulatzai, M. A. (2015) · Neurotoxicity Research · doi:10.1007/s12640-015-9528-x · Cited by 12
“This was associated with an increase in BBB permeability to small tracers such as sodium fluorescein and biotin; in- terestingly after 24 h of recovery sleep, the paracellular permeability of BBB returned to baseline (He et al. 2014).”
BackgroundNeuroinflammation is not a Prerequisite for Diabetes-induced Tau Phosphorylation
van der Harg, J. M., Eggels, L., Ruigrok, S. R., Hoozemans, J. J. M., la Fleur, S. E., & Scheper, W. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00432 · Cited by 12
“Blots were pre-incubated with 5% bovine serum albumin (BSA; Boehringer, Mannheim, Germany) in TBS-T [0.05% Tween-20 in Tris buffered saline (TBS)] for 60min at room temperature and subsequently incubated at 4◦C overnight with primary antibodies.”
BackgroundMethodInfluentialMa, Y., Wu, D., Zhang, W., Liu, J., Chen, S., & Hua, B. (2015) · PubMed Central · Cited by 11
Epilepsy and obesity: A complex interaction
Ladino, L., & Téllez-Zenteno, J. (2019) · The Comorbidities of Epilepsy · doi:10.1016/b978-0-12-814877-8.00007-6 · Cited by 14
Vuković, M., Nosek, I., Medic‐Stojanoska, M., & Kozic, D. B. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27020958 · Cited by 9
“Aging and type 2 diabetes mellitus (T2DM) further exacerbate these effects by reducing insulin availability in the brain and impairing insulin receptor signaling at the neuronal level [51,52].”
Insulin Resistance and Metabolic Failure Underlie Alzheimer Disease
de la Monte, S. M., & Tong, M. (2013) · Wiley eBooks · doi:10.1002/9781118395318.ch1 · Cited by 9
“Correspondingly, experimental animal models with dietinduced obesity and T2DM exhibit cognitive declines [62] with deficits in spatial learning and memory [142], and brain atrophy with insulin resistance, inflammation, oxidative stress, and cholinergic dysfunction [134, 143].”
BackgroundTerzo, S., Amato, A., Calvi, P., Giardina, M., Nuzzo, D., Picone, P., Piccionello, A. P., Amata, S., Giardina, I. C., Massaro, A. S., et al. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-23-02039 · Cited by 8
Effects of obesity on hippocampus function: Synaptic plasticity hypothesis
Al-Dalaeen, A. M., Ahram, M. A., & Al-Domi, H. A. (2020) · Obesity Medicine · doi:10.1016/j.obmed.2020.100246 · Cited by 8
Alzheimer’s disease risk, obesity and tau: is insulin resistance guilty?
Blum, D. L., & Buée, L. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/ern.13.35 · Cited by 8
Sun, P., Hua, Q., & Schmitt, A. G. (2015) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026615666150813142611 · Cited by 8
Khalil, A., & Al-Daoude, A. (2019) · Molecular Biology Reports · doi:10.1007/s11033-019-04681-2 · Cited by 7
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
“Previous evidence from samples of patients with Alzheimer ’ s disease and murine models showed that insulin resistance in neurons may lead to neuronal damage (Moloney et al., 2010; Moroz et al., 2008).”
BackgroundSolmaz, V., Atasoy, Ö., & Erbaş, O. (2020) · Neurological Research · doi:10.1080/01616412.2020.1747718 · Cited by 6
“However, numerous studies have shown that several diseases associated with peripheral insulin resistance including obesity, type 2 diabetes, dyslipidemia and non-alcoholic steatohepatitis (NASH) increase the risk of neuronal damage, cognitive impairment and dementia [3,4].”
Backgroundde la Monte, S. M. (2012) · Humana Press eBooks · doi:10.1007/978-1-62703-047-2_39 · Cited by 5
How to Stabilize Both the Proteins and the Membranes: Diverse Effects of sHsps in Neuroprotection
Tóth, M. E., Sántha, M., Penke, B., & Vı́gh, L. (2015) · Heat shock proteins · doi:10.1007/978-3-319-16077-1_23 · Cited by 6
Canini, F., Qin, B., Marissal‐Arvy, N., Poulet, L., Batandier, C., Roussel, A., & Anderson, R. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197094 · Cited by 5
“Although the increase in Irs1 mRNA expression can reflect either a decreased [59], or enhanced [60, 61] insulin sensitivity, the latter is more probable as the Akt1 mRNA expression also increased [61–63].”
Backgroundde la Monte, S., Tong, M., & Jack, R. (2011) · InTech eBooks · doi:10.5772/17682 · Cited by 5
Huang, Y., Chan, H., Khoo, J.-Y., Chan, M.-L., Bender, D. A., Ponnusamy, V. K., Belaidi, A. A., & Ke, L. (2025) · Neurochemistry International · doi:10.1016/j.neuint.2025.106104 · Cited by 4
The neurogenic effects of rosmarinic acid in a mouse model of type 2 diabetes mellitus
Ali, M., & Zahid, S. (2020) · Brazilian Journal of Pharmaceutical Sciences · doi:10.1590/s2175-979020200003180772 · Cited by 4
Does Obesity-Induced τ Phosphorylation Tip the Scale Toward Dementia?
Gendron, T. F., Zhang, Y., & Petrucelli, L. (2013) · Diabetes · doi:10.2337/db12-1784 · Cited by 4
Adiponectin and Alzheimer's disease: Is there a link?
Takahiro Sakai, J. I. (2014) · Inflammation and Cell Signaling · doi:10.14800/ics.154 · Cited by 4
“Increased risk of AD in obesity and T2DM is separate from vascular dementia and appears to persist after adjustment for cardiovascular risk factors such as stroke, hypertension, and cerebrovascular disease, suggesting an independent role for obesity-related metabolic dysfunction; 3) High-fat feeding, which is used to…”
BackgroundDietze, L. M. F., McWhinney, S. R., Raduà, J., & Hájek, T. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1108360 · Cited by 4
Ma, L., Liu, S., Du, J., Niu, Y., Hou, P.-F., Shu, Q., Ma, R., Wu, S., Qu, Q., & Lv, Y.-L. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.107155 · Cited by 3
Obesity-related brain atrophy is independent of Alzheimer's disease protein pathways
Morys, F., Liu, L., Senkevich, K. A., Gan‐Or, Z., & Dagher, A. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251359680 · Cited by 3
Sporadic Alzheimer’s disease animal model using streptozotocin and APP/PS1 mice
Kelliny, S., Deng, I. B., Zhou, X., & Bobrovskaya, L. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-89833-1.00026-4 · Cited by 2
Aydın, B., Aydın, A. S., Çeçen, Ö., Yuca, H., Bona, G. E., Demırcı, B., Bona, M., & Karakaya, S. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70749 · Cited by 2
“AD is characterized by brain insulin resistance and insulin deficiency, while T2DM is characterized by peripheral insulin resistance (Moroz et al. 2008).”
Neuroimaging of Cardiovascular Disease
Cohen, R. A. (2010) · Springer eBooks · doi:10.1007/978-1-4419-6373-4_15 · Cited by 3
INVESTIGATION ON THE EXPRESSION OF IGF-I PROTEIN IN INSULIN-RESISTANT RAT BRAIN
Azita, P. T., Jalal, R., Shamila, D., Sepehri, H., & Adeli, K. (2010) · Cited by 1
Sadoughi, S. D., & Chamipa, M. (2016) · KAUMS Journal · Cited by 1
Stress Hormones and Neuroplasticity in the Diabetic Brain
Stranahan, A. M., & Mattson, M. P. (2010) · Research and perspectives in Alzheimer's disease · doi:10.1007/978-3-642-04300-0_4 · Cited by 1
“However, obesity and insulin resistance are not sufficient to cause AD pathology (Moroz et al. 2008).”
BackgroundModulation of Cognition by Insulin and Aging: Implications for Alzheimer Disease
Solas, M., & Ramírez, M. J. (2013) · Wiley eBooks · doi:10.1002/9781118395318.ch6
Cifarelli, V., Hays, D., & Hursting, S. D. (2012) · Intern J Endocrinol Metab · doi:10.5812/kowsar.1726913x.3486
The Effect of Six Weeks-Voluntary Wheel Running on Brain Amyloid Beta (1-42) Levels of Diabetic Rats
Mohammadi, Z. F., Ebrahimzadeh, M., & Moghaddam, A. H. (2013) · Zahedan Journal of Research in Medical Sciences
Effects of insulin gene dosage on body weight and glucose homeostasis
Mehran, A. E. (2015) · cIRcle (University of British Columbia) · doi:10.14288/1.0167270
Neuroscience and Biobehavioral Reviews
Poon, D. C.-H., Ho, J. Y. S., Chiu, K., & Chang, R. C. (2013)
Alcoholic Beverage and Insulin Resistance–Mediated Degenerative Diseases of Liver and Brain
de la Monte, S. M., Huse, S. M., & Kim, M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801585-8.00019-1
Omar, S. M. M., & Abulsaad, K. A. (2015) · The Egyptian Journal of Histology · doi:10.1097/01.ehx.0000464784.42319.33
Interactions Between Age, Diet, and Insulin and Their Effect on Cognition
Félix‐Soriano, E., Moreno-Aliaga, M. J., Ramírez, M. J., & Solas, M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811959-4.00014-6
Antidiabetic properties of centella asiatica in type II diabetic rats.
Oyenihi, A. B. (2016) · ResearchSpace (University of KwaZulu-Natal)
Abinader, P. B. D. M., Filgueira, A. G. D. L., Lauria, G. D. S. M., Cordeiro, J. M., Lorenzoni, J. C. S., & Lima, S. B. D. A. (2021) · doi:10.22533/at.ed.60321090810
Costa, A. C. S., Albuquerque, A. M., da Costa, B. M., Cerqueira, D. D. N., Rangel, G. R., Filho, H. M. D. S., Andrade, I. C. D. F., Silva, J. C. D. D. M., de Souza, S. C. B., & Rocha, S. W. S. (2021) · doi:10.22533/at.ed.60321090813
da Rosa, R. P. F., Alberto, A. C. R., Lima, C. D. J., de Amorim, G. B., & Mecca, R. C. (2021) · doi:10.22533/at.ed.6032109087
da Costa, M. D. M. S., Mesquita, G. R. D. A., Silva, A. D. R., Costa, R., de Sousa, S. R., Bizerra, L., de Carvalho, E. E., de Morais, C. S., Leôncio, A. D. S., Rodrigues, G. D., et al. (2021) · doi:10.22533/at.ed.6032109088
O RISCO DA RADIAÇÃO ULTRAVIOLETA NO DESENVOLVIMENTO DO MELANOMA CUTÂNEO
Rodrigues, A. C., Oliveira, J. D. F., Chaves, K. A. M., do Amaral, W. M. N., da Silva, W. A., & Pinto, L. C. (2021) · doi:10.22533/at.ed.60321090819
Rosenzweig, S. A. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.727123638.793572332
Paz, A., Lone, I. M., Midlej, K., Ghnaim, A., Nun, N. B., & Iraqi, F. A. (2024) · Research Square · doi:10.21203/rs.3.rs-4412575/v1
de la Monte, S. M., Silbermann, E., & Tong, M. (2024) · Journal of Behavioral and Brain Science · doi:10.4236/jbbs.2024.146011
“Slice culture tissue samples were homogenized in weak lysis buffer that contained 50 mM Tris (pH 7.5), 150 mM NaCl, 5 mM EDTA (pH 8.0), 50 mM NaF, 0.1% Triton X-100, and protease and phosphatase inhibitors [66].”
InfluentialKour, H., Mishra, S. K., & Hattiholi, A. (2024) · Muller Journal of Medical Sciences and Research · doi:10.4103/mjmsr.mjmsr_76_23
Kacířová, M., Železná, B., Blažková, M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14826112
Metadata
- Authors
- Moroz, N., Tong, M., Longato, L., Xu, H., & de la Monte, S. M.
- Affiliations
- Brown University (US)
- Departments of Medicine, Pathology, and Clinical Neuroscience, Divisions of Gastroenterology and Endocrinology, and the Liver Research Center, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, USA
- Venue
- Journal of Alzheimer s Disease
- Publisher
- SAGE Publications
- Published
- 2008-08-26
- Volume
- 15
- Issue
- 1
- Pages
- 29-44
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- PMC
- PMC10074393
- OpenAlex
- W157753509
- Cited by
- 151
- References
- 71
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 10 · 2023: 2 · 2022: 6 · 2021: 9 · 2020: 9 · 2019: 4 · 2018: 9 · 2017: 4 · 2016: 8 · 2015: 9 · 2014: 11 · 2013: 14 · 2012: 17
- FWCI
- 7.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Charles H. Hood Foundation
- National Institute for Health and Care Research
- National Institutes of Health (AA-02169, AA02666, AA-11431, 5r01aa011431-26)
- National Institute on Alcohol Abuse and Alcoholism (AA-02666, R01-AA011431, K24 AA016126, AA-12908, AA-02169, AA-16126, AA11431, R56AA011431, R01AA012908, R37AA002666, R37AA011431, R01AA002666)
- 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
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- Alzheimer's disease, type 2 diabetes
- MeSH terms
- Actins, Aldehydes, Alzheimer Disease, Animals, Atrophy, Brain, Diabetes Mellitus, Type 2, Enzyme-Linked Immunosorbent Assay, Glial Fibrillary Acidic Protein, Insulin Resistance, Insulin-Like Growth Factor I, Mice, Inbred C57BL, Nerve Degeneration, Obesity, RNA, Messenger, Gene Expression, Amyloid beta-Peptides, DNA Primers, Reverse Transcriptase Polymerase Chain Reaction, Ubiquitin, Adaptor Proteins, Signal Transducing, Mice, Insulin Receptor Substrate Proteins
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