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Connective tissue growth factor (CTGF) expression in the brain is a downstream effector of insulin resistance‐associated promotion of Alzheimer's disease β‐amyloid neuropathology
Abstract
The goal of this study was to further explore potential mechanisms through which diabetogenic dietary conditions that result in promotion of insulin resistance (IR), a feature of non‐insulin dependant diabetes mellitus (type‐2 diabetes), may influence Alzheimer's disease (AD). Using genome‐wide array technology, we found that connective tissue growth factor (CTGF), a gene product described previously for its involvement in diabetic fibrosis, is elevated in brain tissue in an established mouse model of diet‐induced IR. With this evidence we continued to explore the regulation of CTGF in postmortem AD brain tissue and found that CTGF expression correlated with the progression of AD clinical dementia and amyloid neuritic plaque (NP) neuropathology, but not neurofibrillary tangle (NFT) deposition. Consistent with this evidence, we also found that exposure of Tg2576 mice (a model AD‐type amyloid neuropathology) to a diabetogenic diet that promotes IR results in a ∼2‐fold elevation in CTGF steady‐state levels in the brain, coincident with a commensurate promotion of AD‐type amyloid plaque burden. Finally, using in vitro cellular models of amyloid precursor protein (APP)‐processing and Aβ generation/clearance, we confirmed that human recombinant (hr)CTGF may increase Aβ 1–40 and Aβ 1–42 peptide steady‐state levels, possibly through a mechanism that involves γ‐secretase activation and decreased insulin‐degrading enzyme (IDE) steady‐state levels in a MAP kinase (MAPK)/ phosphatidylinositol 3‐kinase (PI‐3K)/protein kinase‐B (AKT)1‐dependent manner. The findings in this study tentatively suggest that increased CTGF expression in the brain might be a novel biological predicative factor of AD clinical progression and neuropathology in response to dietary regimens promoting IR conditions.
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In a mouse AD model, CTGF expression in the brain is increased upon diabetic challenge.
“In a mouse AD model, CTGF expression in the brain is increased upon diabetic challenge (23).”
From Differential protective effects of connective tissue growth factor against Aβ neurotoxicity on neurons and glia (2017) · cites this paper as [23]
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Cites
Insulin and neurodegenerative disease: shared and specific mechanisms
Craft, S., & Stennis Watson, G. (2004) · The Lancet Neurology · doi:10.1016/s1474-4422(04)00681-7 · Cited by 830
Association of γ-Secretase with Lipid Rafts in Post-Golgi and Endosome Membranes
Vetrivel, K. S., Cheng, H., Lin, W., Sakurai, T., Li, T., Nukina, N., Wong, P. C., Xu, H., & Thinakaran, G. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m407986200 · Cited by 413
Haroutunian, V. (1998) · Archives of Neurology · doi:10.1001/archneur.55.9.1185 · Cited by 289
Self-citationMirra, S. S. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00058-4 · Cited by 236
Neurofibrillary tangles in nondemented elderly subjects and mild Alzheimer disease
Haroutunian, V., Purohit, D. P., Perl, D. P., Marin, D., Khan, K., Lantz, M., Davis, K. L., & Mohs, R. C. (1999) · Archives of Neurology · doi:10.1001/archneur.56.6.713 · Cited by 201
Self-citationFasting insulin and incident dementia in an elderly population of Japanese-American men
Peila, R., Rodriguez, B. L., White, L. R., & Launer, L. J. (2004) · Neurology · doi:10.1212/01.wnl.0000129989.28404.9b · Cited by 152
Bussire, T., Gold, G., Kvari, E., Giannakopoulos, P., Bouras, C., Perl, D. P., Morrison, J. H., & Hof, P. R. (2003) · Neuroscience · doi:10.1016/s0306-4522(02)00942-9 · Cited by 122
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Research works printed but not linked: 53
- 10.1136/bmj.315.7115.1045 · DOI
- 10.1212/WNL.53.9.1937 · DOI · Paper page
- 10.1016/S0140-6736(98)03086-4 · DOI · Paper page
- 10.1111/j.1749-6632.2000.tb06393.x · DOI
- 10.1016/S0197-4580(00)00106-8 · DOI · Paper page
- 10.1016/S0140-6736(96)90608-X · DOI · Paper page
- 10.1242/jcs.00292 · DOI
- 10.1083/jcb.200108057 · DOI · Paper page
- 10.1523/JNEUROSCI.21-08-02561.2001 · DOI
- 10.1016/0006-3223(91)90158-I · DOI
- 10.1111/j.1532-5415.1993.tb07458.x · DOI
- 10.1016/S0306-4530(02)00087-2 · DOI
- 10.1212/01.WNL.0000140292.04932.87 · DOI · Paper page
- 10.1096/fj.03-0978fje · DOI
- 10.1038/nature01640 · DOI
- 10.1016/S0950-351X(10)80015-1 · DOI
- 10.1210/er.20.2.189 · DOI
- 10.1186/1472-6793-3-4 · DOI
- 10.1016/S0006-8993(99)02186-1 · 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
- 10.1210/endo.140.10.6966 · DOI
- 10.1124/jpet.301.2.494 · DOI
- 10.1101/gr.227402 · DOI
- 10.1093/nar/30.7.e30 · DOI
- Mobbs C. V., 2004, Mining microarrays for metabolic meaning: nutritional regulation of hypothalamic gene expression, Neurochem. Res., 29, 1093, 10.1023/B:NERE.0000023596.49140.e0 · DOI
- 10.1212/WNL.41.4.479 · DOI · Paper page
- 10.3727/000000002783992352 · DOI
- 10.1016/S0306-4522(02)00056-8 · DOI
- 10.1002/(SICI)1096-9861(20000424)420:1<113::AID-CNE8>3.0.CO;2-N · DOI
- 10.1002/(SICI)1096-9861(20000103)416:1<112::AID-CNE9>3.0.CO;2-K · DOI
- 10.1046/j.1365-2818.1997.2070765.x · DOI
- Folger P. A., 2001, Transforming growth factor‐beta‐stimulated connective tissue growth factor expression during corneal myofibroblast differentiation, Invest. Ophthalmol. Vis. Sci., 42, 2534
- 10.1111/1523-1747.ep12363389 · DOI
- 10.1074/jbc.M307699200 · DOI
- 10.1023/A:1007527721160 · DOI
- Adler S. G., 2002, Can glomerular mRNAs in human type 1 diabetes be used to predict transition from normoalbuminuria to microalbuminuria?, Am. J. Kidney Dis., 40, 184, 10.1053/ajkd.2002.33928 · DOI
- 10.1046/j.1460-9568.2000.00930.x · DOI
- 10.1007/s00401-003-0741-y · DOI · Paper page
- 10.1016/S0306-4522(02)00670-X · DOI · Paper page
- 10.1385/JMN:23:3:213 · DOI
- 10.1016/S0968-0004(01)01876-X · DOI
- Zhao L., 2004, Insulin‐degrading enzyme as a downstream target of insulin receptor signaling cascade: implications for Alzheimer's disease intervention, J. Neurosci., 24, 11,120, 10.1523/JNEUROSCI.2860-04.2004 · DOI · Paper page
- 10.1016/S0196-9781(02)00063-3 · DOI
- Crean J. K., 2002, The role of p42/44 MAPK and protein kinase B in connective tissue growth factor induced extracellular matrix protein production, cell migration, and actin cytoskeletal rearrangement in human mesangial cells, J. Biol. Chem., 277, 44,187, 10.1074/jbc.M203715200 · DOI
- 10.1096/fj.04-2357fje · DOI
- 10.1210/endo.142.5.8141 · DOI
- 10.1210/en.2002-220619 · DOI
- 10.1161/01.RES.0000065620.39919.20 · DOI
- 10.1074/jbc.274.9.5830 · DOI
- 10.1053/jhep.2001.28055 · DOI
- 10.1096/fj.04-2357fje · DOI
- 10.1074/jbc.M105180200 · DOI
- 10.1038/sj.bjp.0704173 · DOI
Cited by
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Nunes, A. F., Amaral, J. D., Lo, A. C., Fonseca, M. B., Viana, R. J. S., Callaerts-Vegh, Z., D’Hooge, R., & Rodrigues, C. M. P. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8256-y · Cited by 192
The CCN family: A new class of inflammation modulators?
Kular, L., Pakradouni, J., Kitabgi, P., Laurent, M., & Martinerie, C. (2011) · Biochimie · doi:10.1016/j.biochi.2010.11.010 · Cited by 183
Obesity, leptin, and Alzheimer's disease
Lee, E. B. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06274.x · Cited by 126
Lo, A. C., Callaerts-Vegh, Z., Nunes, A. F., Rodrigues, C. M. P., & D'Hooge, R. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.09.003 · Cited by 120
Zhao, Y., Zhang, Y., Zhou, M., Wang, S., Hua, Z., & Zhang, J. (2012) · FEBS Letters · doi:10.1016/j.febslet.2012.03.034 · Cited by 57
Yang, C.-N., Wu, M.-F., Liu, C.-C., Jung, W.-H., Chang, Y.-C., Lee, W.-P., Shiao, Y.-J., Wu, C.-L., Liou, H.-H., Lin, S.-K., et al. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx278 · Cited by 27
Metadata
- Authors
- Zhao, Z., Ho, L., Wang, J., Qin, W., Festa, E. D., Mobbs, C., Hof, P., Rocher, A., Masur, S., Haroutunian, V., & Pasinetti, G. M.
- Affiliations
- Neuroinflammation Research Laboratories The Mount Sinai School of Medicine New York New York
- Department of Psychiatry The Mount Sinai School of Medicine New York New York
- Department of Neuroscience The Mount Sinai School of Medicine New York New York
- Department of Ophthalmology The Mount Sinai School of Medicine New York New York
- Venue
- The FASEB Journal
- Publisher
- Wiley
- Published
- 2005-09-26
- Volume
- 19
- Issue
- 14
- Pages
- 2081-2082
- ISSN
- 0892-6638
- 1530-6860
- Cited by
- 36
- References
- 7
- Language
- en
- Funders
- National Institute on Aging (AG13799, AG02219)
- Dana Foundation
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