The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
High cholesterol‐induced neuroinflammation and amyloid precursor protein processing correlate with loss of working memory in mice
Abstract
Recent findings suggest that hypercholesterolemia may contribute to the onset of Alzheimer’s disease‐like dementia but the underlying mechanisms remain unknown. In this study, we evaluated the cognitive performance in rodent models of hypercholesterolemia in relation to neuroinflammatory changes and amyloid precursor protein (APP) processing, the two key parameters of Alzheimer’s disease pathogenesis. Groups of normal C57BL/6 and low density lipoprotein receptor (LDLR)‐deficient mice were fed a high fat/cholesterol diet for an 8‐week period and tested for memory in a radial arm maze. It was found that the C57BL/6 mice receiving a high fat diet were deficient in handling an increasing working memory load compared with counterparts receiving a control diet while the hypercholesterolemic LDLR−/− mice showed impaired working memory regardless of diet. Immunohistochemical analysis revealed the presence of activated microglia and astrocytes in the hippocampi from high fat‐fed C57BL/6 mice and LDLR−/− mice. Consistent with a neuroinflammatory response, the hyperlipidemic mice showed increased expression of cytokines/mediators including tumor necrosis factor‐α, interleukin‐1β and ‐6, nitric oxide synthase 2, and cycloxygenase 2. There was also an induced expression of the key APP processing enzyme i.e. β‐site APP cleaving enzyme 1 in both high fat/cholesterol‐fed C57BL/6 and LDLR−/− mice accompanied by an increased generation of C‐terminal fragments of APP. Although ELISA for beta‐amyloid failed to record significant changes in the non‐transgenic mice, a threefold increase in beta‐amyloid 40 accumulation was apparent in a strain of transgenic mice expressing wild‐type human APP on high fat/cholesterol diet. The findings link hypercholesterolemia with cognitive dysfunction potentially mediated by increased neuroinflammation and APP processing in a non‐transgenic mouse model.
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 AD patients, LDL-cholesterol and apoB concentrations are increased, and correlate with brain Aβ concentrations.
“In AD patients, LDL-cholesterol and apoB concentrations are increased, and correlate with brain Aβ concentrations [31], [32], [33].”
From ApoB100/LDLR-/- Hypercholesterolaemic Mice as a Model for Mild Cognitive Impairment and Neuronal Damage (2011) · cites this paper as [33]
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
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
Inflammation in Neurodegenerative Disease—A Double-Edged Sword
Wyss-Coray, T., & Mucke, L. (2002) · Neuron · doi:10.1016/s0896-6273(02)00794-8 · Cited by 1,235
Kitazawa, M., Oddo, S., Yamasaki, T. R., Green, K. N., & LaFerla, F. M. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2868-05.2005 · Cited by 697
Hypoxia facilitates Alzheimer's disease pathogenesis by up-regulating BACE1 gene expression
Sun, X., He, G., Qing, H., Zhou, W., Dobie, F., Cai, F., Staufenbiel, M., Huang, L. E., & Song, W. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606298103 · Cited by 605
The impact of systemic infection on the progression of neurodegenerative disease
Perry, V. H., Newman, T. A., & Cunningham, C. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1032 · Cited by 428
Lack of LDL receptor aggravates learning deficits and amyloid deposits in Alzheimer transgenic mice
Cao, D., Fukuchi, K.-I., Wan, H., Kim, H., & Li, L. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.09.011 · Cited by 106
Flagged first, then by citations
Research works printed but not linked: 52
- 10.1016/S0031-9384(99)00201-2 · DOI
- 10.1016/S0031-9384(00)00259-6 · DOI
- 10.1111/j.1365-2796.2006.01725.x · DOI
- 10.1016/S0022-2275(20)32188-X · DOI · Paper page
- 10.1111/j.1600-0404.2006.00684.x · DOI
- 10.1074/jbc.271.8.4436 · DOI · Paper page
- 10.1194/jlr.M600214-JLR200 · DOI
- 10.1016/S0140-6736(04)15900-X · DOI · Paper page
- 10.1074/jbc.M413895200 · DOI
- 10.2165/00002512-200320060-00001 · DOI
- 10.1083/jcb.200207113 · DOI · Paper page
- 10.1111/j.1471-4159.2007.04614.x · DOI · Paper page
- 10.1523/JNEUROSCI.4371-06.2007 · DOI
- 10.1097/00001756-199906030-00014 · DOI
- 10.1016/j.expneurol.2006.03.019 · DOI · Paper page
- 10.1111/j.1471-4159.2006.04079.x · DOI · Paper page
- 10.3233/JAD-2006-9105 · DOI
- 10.3233/JAD-1999-14-501 · DOI
- 10.1016/j.jneuroim.2006.11.017 · DOI · Paper page
- 10.1016/S0166-4328(02)00275-9 · DOI
- 10.1016/j.neuron.2004.08.043 · DOI · Paper page
- 10.1016/S0006-8993(97)01417-0 · DOI
- 10.1016/S0006-8993(00)02113-2 · DOI
- 10.1172/JCI116663 · DOI · Paper page
- 10.1037/0735-7044.98.6.946 · DOI
- 10.1002/humu.20012 · DOI
- Levin‐Allerhand J. A., 2002, Increased amyloid‐levels in APPSWE transgenic mice treated chronically with a physiological high‐fat high‐cholesterol diet, J. Nutr. Health Aging, 6, 315
- 10.1016/S0002-9440(10)63572-9 · DOI · Paper page
- 10.1073/pnas.0205689101 · DOI
- 10.1146/annurev.pharmtox.45.120403.095748 · DOI · Paper page
- 10.1016/j.neuron.2007.08.008 · DOI · Paper page
- Lutjohann D., 2003, 24S‐hydroxycholesterol: a marker of brain cholesterol metabolism, Pharmacopsychiatry, 36, S102
- 10.1016/j.nbd.2004.01.015 · DOI · Paper page
- 10.1096/fj.00-0891fje · DOI
- 10.1074/jbc.M005968200 · DOI
- 10.1038/nn0403-345 · DOI · Paper page
- 10.1006/nbdi.2000.0304 · DOI · Paper page
- 10.1146/annurev.med.47.1.387 · DOI · Paper page
- 10.2174/1389450043345335 · DOI
- 10.1073/pnas.0503839103 · DOI · Paper page
- 10.1073/pnas.95.11.6460 · DOI
- 10.1006/exnr.1994.1044 · DOI · Paper page
- 10.1111/j.1749-6632.2000.tb06384.x · DOI
- 10.1038/nm1102-1211 · DOI
- 10.1007/s001090050097 · DOI
- 10.1111/j.1471-4159.2004.02895.x · DOI · Paper page
- 10.1016/j.neurobiolaging.2005.09.003 · DOI
- 10.1001/archneur.57.10.1439 · DOI
- 10.1111/j.1600-0404.2006.00687.x · DOI
- 10.1186/1742-2094-4-20 · DOI
- 10.1096/fj.07-8175com · DOI
- 10.1016/j.tins.2005.02.001 · DOI · Paper page
Cited by
Sorted by citations
Więckowska-Gacek, A., Mietelska-Porowska, A., Wydrych, M., & Wojda, U. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101397 · Cited by 343
Unhealthy gut, unhealthy brain: The role of the intestinal microbiota in neurodegenerative diseases
Spielman, L. J., Gibson, D. L., & Klegeris, A. (2018) · Neurochemistry International · doi:10.1016/j.neuint.2018.08.005 · Cited by 266
André, C., Dinel, A.-L., Ferreira, G., Layé, S., & Castanon, N. (2014) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2014.03.012 · Cited by 241
Puig, K. L., Floden, A. M., Adhikari, R., Golovko, M. Y., & Combs, C. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030378 · Cited by 152
Maesako, M., Uemura, K., Kubota, M., Kuzuya, A., Sasaki, K., Hayashida, N., Asada-Utsugi, M., Watanabe, K., Uemura, M., Kihara, T., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.367011 · Cited by 141
Functional Roles of the Interaction of APP and Lipoprotein Receptors
Pohlkamp, T., Wasser, C. R., & Herz, J. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00054 · Cited by 92
Butyrate restores HFD-induced adaptations in brain function and metabolism in mid-adult obese mice
Arnoldussen, I. A. C., Wiesmann, M., Pelgrim, C. E., Wielemaker, E. M., van Duyvenvoorde, W., Amaral-Santos, P. L., Verschuren, L., Keijser, B. J. F., Heerschap, A., Kleemann, R., et al. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.52 · Cited by 101
Zhao, X.-S., Wu, Q., Peng, J., Pan, L.-H., Ren, Z., Liu, H.-T., Jiang, Z.-S., Wang, G.-X., Tang, Z.-H., & Liu, L.-S. (2017) · Molecular Medicine Reports · doi:10.3892/mmr.2016.6055 · Cited by 46
Abisambra, J. F., Fiorelli, T., Padmanabhan, J., Neame, P., Wefes, I., & Potter, H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008556 · Cited by 42
Lipid metabolism transcriptomics of murine microglia in Alzheimer’s disease and neuroinflammation
Shippy, D. C., & Ulland, T. K. (2023) · Scientific Reports · doi:10.1038/s41598-023-41897-6 · Cited by 35
Ramírez, C., Sierra, S., Tercero, I., Vázquez, J. A., Pineda, A., Manrique, T., & Burgos, J. S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022712 · Cited by 31
de Oliveira, J., Engel, D. F., de Paula, G. C., Melo, H. M., Lopes, S. C., Ribeiro, C. T., Delanogare, E., Moreira, J. C. F., Gelain, D. P., Prediger, R. D., et al. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-190742 · Cited by 31
Metadata
- Authors
- Thirumangalakudi, L., Prakasam, A., Zhang, R., Bimonte‐Nelson, H., Sambamurti, K., Kindy, M. S., & Bhat, N. R.
- Venue
- Journal of Neurochemistry
- Publisher
- Wiley
- Published
- 2008-04-12
- Volume
- 106
- Issue
- 1
- Pages
- 475-485
- ISSN
- 0022-3042
- 1471-4159
- PMC
- PMC3897170
- Cited by
- 331
- References
- 7
- Language
- en
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