The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Inflammatory Markers in Matched Plasma and Cerebrospinal Fluid from Patients with Alzheimer’s Disease
Abstract
It has been suggested that a number of molecules associated with inflammation are involved in the pathogenesis of Alzheimer’s disease (AD). We measured the levels of α 1-antichymotrypsin (ACT), α 1-antitrypsin (AAT), interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1) and oxidised low-density lipoprotein (oxLDL) in matched cerebrospinal fluid (CSF) and plasma of 141 patients with probable AD. We found a significant relationship between CSF and plasma levels of ACT (r = 0.4, p < 0.001), IL-6 (r = 0.74, p < 0.001), MCP-1 (r = 0.71, p < 0.001), and a borderline relationship between CSF and plasma oxLDL (r = 0.22, p < 0.05). In addition, linear regression analysis revealed a positive correlation between levels of CSF-ACT and oxLDL (p < 0.001), but an inverse relation between levels of CSF ACT, CSF AAT and MCP-1 (p < 0.001). A significant correlation was also found between levels of CSF ACT, oxLDL and the ratio of CSF to serum albumin, which is used as a measure of the blood-brain barrier function. Our data extend previous reports regarding the inflammatory markers in the plasma and CSF of patients with AD and provide good evidence that levels of ACT, IL-6, MCP-1 and oxLDL in plasma and CSF might be candidates as biomarkers for monitoring the inflammatory process in AD.
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Cites
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
MCGEER, P., & MCGEER, E. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(95)00011-9 · Cited by 1,287
Ma, J., Yee, A., Brewer, H. B., Das, S., & Potter, H. (1994) · Nature · doi:10.1038/372092a0 · Cited by 871
Blennow, K., Wallin, A., Ågren, H., Spenger, C., Siegfried, J., & Vanmechelen, E. (1995) · Molecular and Chemical Neuropathology · doi:10.1007/bf02815140 · Cited by 789
Self-citationAndreasen, N., Hesse, C., Davidsson, P., Minthon, L., Wallin, A., Winblad, B., Vanderstichele, H., Vanmechelen, E., & Blennow, K. (1999) · Archives of Neurology · doi:10.1001/archneur.56.6.673 · Cited by 660
Self-citationHayashi, M., Luo, Y., Laning, J., Strieter, R. M., & Dorf, M. E. (1995) · Journal of Neuroimmunology · doi:10.1016/0165-5728(95)00064-9 · Cited by 226
Genetics of Alzheimer's disease
Hutton, M., Pérez-Tur, J., & Hardy, J. (1998) · Essays in Biochemistry · doi:10.1042/bse0330117 · Cited by 88
Cited by
A Meta-Analysis of Cytokines in Alzheimer's Disease
Swardfager, W., Lanctôt, K., Rothenburg, L., Wong, A., Cappell, J., & Herrmann, N. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.06.012 · Cited by 1,108
Blood–brain barrier: Ageing and microvascular disease – systematic review and meta-analysis
Farrall, A. J., & Wardlaw, J. M. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.07.015 · Cited by 882
Lai, K. S. P., Liu, C. S., Rau, A., Lanctôt, K. L., Köhler, C. A., Pakosh, M., Carvalho, A. F., & Herrmann, N. (2017) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-316201 · Cited by 433
A Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease
Hampel, H., Caraci, F., Cuello, A. C., Caruso, G., Nisticò, R., Corbo, M., Baldacci, F., Toschi, N., Garaci, F., Chiesa, P. A., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00456 · Cited by 360
Becaria, A., Campbell, A., & Bondy, S. (2002) · Toxicology and Industrial Health · doi:10.1191/0748233702th157oa · Cited by 283
Metadata
- Authors
- Sun, Y.-X., Minthon, L., Wallmark, A., Warkentin, S., Blennow, K., & Janciauskiene, S.
- Venue
- Dementia and Geriatric Cognitive Disorders
- Publisher
- S. Karger AG
- Published
- 2003
- Volume
- 16
- Issue
- 3
- Pages
- 136-144
- ISSN
- 1420-8008 (ISSN-L)
- 1421-9824
- OpenAlex
- W2015372700
- Cited by
- 180
- References
- 7
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- closed
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