The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Peripheral Inflammatory Biomarkers and Risk of Parkinson's Disease
Abstract
Experimental and postmortem evidence indicates a role of neuroinflammation in the pathogenesis of Parkinson's disease. The authors prospectively examined whether plasma concentrations of inflammatory biomarkers assessed before Parkinson's disease diagnosis were predictive of future risk of the disease in a nested case-control study in the United States (1993-2002), including 84 incident cases and 165 matched controls. Blood was collected from patients on average 4.3 years before the diagnosis. After adjustment for potential confounders, higher level of interleukin-6 was associated with a greater risk of Parkinson's disease. Compared with the lowest quintile, the odds ratios were 1.5 for the second, 1.6 for the third, 2.7 for the fourth, and 3.4 for the fifth quintiles (p for trend = 0.03). In contrast, concentrations of other inflammatory biomarkers including C-reactive protein, fibrinogen, and tumor necrosis factor-alpha receptors were not related to the risk. These data suggest that men with high plasma concentrations of interleukin-6 have an increased risk of developing Parkinson's disease. However, this finding should be interpreted with caution because of the small sample size and the lack of associations with other biomarkers of inflammation.
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Ridker, P. M., Hennekens, C. H., Buring, J. E., & Rifai, N. (2000) · New England Journal of Medicine · doi:10.1056/nejm200003233421202 · Cited by 5,850
McGeer, P. L., Itagaki, S., Boyes, B. E., & McGeer, E. G. (1988) · Neurology · doi:10.1212/wnl.38.8.1285 · Cited by 2,990
Prospective Study of Caffeine Consumption and Risk of Parkinson’s Disease in Men and Women
Ascherio, A., Zhang, S. M., Hernán, M. A., Kawachi, I., Colditz, G. A., Speizer, F. E., & Willett, W. C. (2001) · Annals of Neurology · doi:10.1002/ana.1052 · Cited by 677
Self-citationMcGeer, P. L., Schwab, C., Parent, A., & Doudet, D. (2003) · Annals of Neurology · doi:10.1002/ana.10728 · Cited by 400
Inflammatory Proteins in Plasma and the Risk of Dementia: The Rotterdam Study
Engelhart, M. J., Geerlings, M. I., Meijer, J., Kiliaan, A., Ruitenberg, A., van Swieten, J. C., Stijnen, T., Hofman, A., Witteman, J. C. M., & Breteler, M. M. B. (2004) · Archives of Neurology · doi:10.1001/archneur.61.5.668 · Cited by 10
Cited by
The JAK/STAT signaling pathway: from bench to clinic
Hu, X., li, J., Fu, M., Zhao, X., & Wang, W. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00791-1 · Cited by 2,633
Neuroinflammation in Parkinson’s disease: A target for neuroprotection?
Hirsch, E. C., & Hunot, S. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70062-6 · Cited by 1,984
Epidemiology and etiology of Parkinson's disease: a review of the evidence
Wirdefeldt, K., Adami, H.-O., Cole, P., Trichopoulos, D., & Mandel, J. (2011) · European Journal of Epidemiology · doi:10.1007/s10654-011-9581-6 · Cited by 1,199
Tansey, M. G., & Goldberg, M. S. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2009.11.004 · Cited by 1,045
Peripheral cytokines profile in parkinson’s disease
Reale, M., Iarlori, C., Thomas, A., Gambi, D., Perfetti, B., Di Nicola, M., & Onofrj, M. (2009) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2008.07.003 · Cited by 547
Metadata
- Authors
- Chen, H., O'Reilly, E. J., Schwarzschild, M. A., & Ascherio, A.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-11-15
- Volume
- 167
- Issue
- 1
- Pages
- 90-95
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2166688610
- Cited by
- 317
- References
- 5
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, H., O'Reilly, E. J., Schwarzschild, M. A., & Ascherio, A. (2007). Peripheral Inflammatory Biomarkers and Risk of Parkinson's Disease. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwm260
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
