The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Inflammatory dysregulation of blood monocytes in Parkinson’s disease patients
Open accessAbstract
Despite extensive effort on studying inflammatory processes in the CNS of Parkinson's disease (PD) patients, implications of peripheral monocytes are still poorly understood. Here, we set out to obtain a comprehensive picture of circulating myeloid cells in PD patients. We applied a human primary monocyte culture system and flow cytometry-based techniques to determine the state of monocytes from PD patients during disease. We found that the classical monocytes are enriched in the blood of PD patients along with an increase in the monocyte-recruiting chemoattractant protein CCL2. Moreover, we found that monocytes from PD patients display a pathological hyperactivity in response to LPS stimulation that correlates with disease severity. Inflammatory pre-conditioning was also reflected on the transcriptome in PD monocytes using next-generation sequencing. Further, we identified the CD95/CD95L as a key regulator for the PD-associated alteration of circulating monocytes. Pharmacological neutralization of CD95L reverses the dysregulation of monocytic subpopulations in favor of non-classical monocytes. Our results suggest that PD monocytes are in an inflammatory predisposition responding with hyperactivation to a "second hit". These results provide the first direct evidence that circulating human peripheral blood monocytes are altered in terms of their function and composition in PD patients. This study provides insights into monocyte biology in PD and establishes a basis for future studies on peripheral inflammation.
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“However, it has now been well demonstrated in models of severe trauma or advanced disease states that BM-derived monocytes traffic to and influence inflammatory signaling in the brain (Zhou et al, 2009;Grozdanov et al, 2014).”
From Repeated Social Defeat, Neuroinflammation, and Behavior: Monocytes Carry the Signal (2017) · cites this paper as Grozdanov et al, 2014
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Cites
Parkinsonism: onset, progression, and mortality
Hoehn, M. M., & Yahr, M. D. (1967) · Neurology · doi:10.1212/wnl.17.5.427 · Cited by 12,107 · cited 1×
“To assess the progression of PD in patients, the modified Hoehn & Yahr staging system was used [29].”
MethodBlood Monocytes Consist of Two Principal Subsets with Distinct Migratory Properties
Geissmann, F., Jung, S., & Littman, D. R. (2003) · Immunity · doi:10.1016/s1074-7613(03)00174-2 · Cited by 3,504
Identification of a unique TGF-β–dependent molecular and functional signature in microglia
Butovsky, O., Jedrychowski, M. P., Moore, C. S., Cialic, R., Lanser, A. J., Gabriely, G., Koeglsperger, T., Dake, B., Wu, P. M., Doykan, C. E., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3599 · Cited by 2,543
Nomenclature of monocytes and dendritic cells in blood
Ziegler‐Heitbrock, L., Ancuța, P., Crowe, S. M., Dalod, M., Grau, V., Hart, D. N. J., Leenen, P. J. M., Liu, Y.-J., MacPherson, G. G., Randolph, G. J., et al. (2010) · Blood · doi:10.1182/blood-2010-02-258558 · Cited by 2,436
Genesis: cluster analysis of microarray data
Sturn, A., Quackenbush, J., & Trajanoski, Z. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.1.207 · Cited by 1,761
Blood Monocytes: Development, Heterogeneity, and Relationship with Dendritic Cells
Auffray, C., Sieweke, M. H., & Geissmann, F. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132557 · Cited by 1,745
Serbina, N. V., & Pamer, E. G. (2006) · Nature Immunology · doi:10.1038/ni1309 · Cited by 1,658
Human CD14dim Monocytes Patrol and Sense Nucleic Acids and Viruses via TLR7 and TLR8 Receptors
Cros, J. F., Cagnard, N., Woollard, K. J., Patey, N., Zhang, S., Sénéchal, B., Puel, A., Biswas, S. K., Moshous, D., Pïcard, C., et al. (2010) · Immunity · doi:10.1016/j.immuni.2010.08.012 · Cited by 1,320
Brochard, V., Combadière, B., Prigent, A., Laouar, Y., Perrin, A., Beray-Berthat, V., Bonduelle, O., Alvarez-Fischer, D., Callebert, J., Launay, J.-M., et al. (2008) · Journal of Clinical Investigation · doi:10.1172/jci36470 · Cited by 1,172
Infiltrating monocytes trigger EAE progression, but do not contribute to the resident microglia pool
Ajami, B., Bennett, J. L., Krieger, C., McNagny, K. M., & Rossi, F. M. V. (2011) · Nature Neuroscience · doi:10.1038/nn.2887 · Cited by 1,061
Cited by
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Inflammation and immune dysfunction in Parkinson disease
Tansey, M. G., Wallings, R. L., Houser, M. C., Herrick, M. K., Keating, C. E., & Joers, V. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00684-6 · Cited by 1,382
MCP-1: Function, regulation, and involvement in disease
Singh, S., Anshita, D., & Ravichandiran, V. (2021) · International Immunopharmacology · doi:10.1016/j.intimp.2021.107598 · Cited by 936
Genome-wide pleiotropy between Parkinson disease and autoimmune diseases
Witoelar, A., Jansen, I. E., Wang, Y., Desikan, R. S., Gibbs, J. R., Blauwendraat, C., Thompson, W. K., Hernandez, D. G., Djurovic, S., Schork, A. J., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.0469 · Cited by 352
Williams‐Gray, C. H., Wijeyekoon, R., Yarnall, A. J., Lawson, R. A., Breen, D. P., Evans, J., Cummins, G. A., Duncan, G. W., Khoo, T. K., Burn, D. J., et al. (2016) · Movement Disorders · doi:10.1002/mds.26563 · Cited by 310
Repeated Social Defeat, Neuroinflammation, and Behavior: Monocytes Carry the Signal
Weber, M. D., Godbout, J. P., & Sheridan, J. F. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.102 · Cited by 283
Metadata
- Authors
- Grozdanov, V., Bliederhaeuser, C., Ruf, W. P., Roth, V., Fundel-Clemens, K., Zondler, L., Brenner, D., Martin-Villalba, A., Hengerer, B., Kassubek, J., Ludolph, A. C., Weishaupt, J. H., & Danzer, K. M.
- Affiliations
- Universität Ulm (DE)
- Boehringer Ingelheim (Germany) (DE)
- Corresponding author
- Danzer, Karin M.
- ORCID
- Venue
- Acta Neuropathologica
- Published
- 2014-10-05
- Volume
- 128
- Issue
- 5
- Pages
- 651-663
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- PMC
- PMC4201759
- OpenAlex
- W2003612310
- Cited by
- 295
- References
- 44
- Citations by year
- 2026: 23 · 2025: 31 · 2024: 38 · 2023: 23 · 2022: 37 · 2021: 40 · 2020: 26 · 2019: 19 · 2018: 18 · 2017: 18 · 2016: 13 · 2015: 9
- FWCI
- 8.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Acta Neuropathologica (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Fondation Charcot
- Universität Ulm
- Medizinische Fakultät, Universität Ulm
- Topics
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Receptors and Signaling
- Keywords
- Parkinson's disease, peripheral blood monocytes, classical monocytes, MCP-1, lipopolysaccharide response, non-classical monocytes, peripheral inflammation, monocyte transcriptome, disease severity
- MeSH terms
- Cells, Cultured, Culture Media, Female, Flow Cytometry, Humans, Inflammation, Lipopolysaccharides, Male, Monocytes, Parkinson Disease, Phagocytosis, Psychiatric Status Rating Scales, RNA, Messenger, Cohort Studies, Antigens, CD, Interleukin-6, Cytokines, Chemokine CCL2
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