Cargando…
Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study
BACKGROUND: Inflammations play crucial role in the pathogenesis of Parkinson’s disease (PD), however, their possible value in the diagnosis or tracking of the progress of PD is still limited, because of discordant results in the literature and a lack of information regarding its reproducibility. Thu...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131564/ https://www.ncbi.nlm.nih.gov/pubmed/35610646 http://dx.doi.org/10.1186/s12974-022-02481-3 |
_version_ | 1784713198766653440 |
---|---|
author | Li, Yuanyuan Yang, Yan Zhao, Aonan Luo, Ningdi Niu, Mengyue Kang, Wenyan Xie, Anmu Lu, Hong Chen, Lei Liu, Jun |
author_facet | Li, Yuanyuan Yang, Yan Zhao, Aonan Luo, Ningdi Niu, Mengyue Kang, Wenyan Xie, Anmu Lu, Hong Chen, Lei Liu, Jun |
author_sort | Li, Yuanyuan |
collection | PubMed |
description | BACKGROUND: Inflammations play crucial role in the pathogenesis of Parkinson’s disease (PD), however, their possible value in the diagnosis or tracking of the progress of PD is still limited, because of discordant results in the literature and a lack of information regarding its reproducibility. Thus, overall longitudinal and cross-sectional studies are needed. This multicentre study was designed to investigate the association between multiple peripheral immune biomarkers and the development and progression of PD. METHODS: This was a longitudinal and multicentre study. First, we measured the levels of five typical cytokines and five focused chemokines in 76 PD patients and 76 healthy controls (HCs) in a discovery cohort. Then, a validation cohort of 80 PD and 80 HC participants was recruited from four multicentre locations. In addition, a prospective follow-up of early-stage PD patients was performed with significant biomarkers. Finally, we performed further verification in an exploratory set of patients with idiopathic REM sleep behaviour disorder (iRBD). RESULTS: In the discovery set, CXCL12, CX3CL1 and IL-8 levels were significantly higher in PD patients than in HCs (p < 0.05). The receiver-operating characteristic (ROC) curve for a combination of these three biomarkers produced a high area under the curve (AUC) of 0.89 (p < 0.001). Moreover, four biomarkers (the previous three and CCL15) were significantly associated with PD in the discovery and validation cohorts. Furthermore, in the prospective follow-up cohort, CX3CL1 levels were associated with motor progression after a mean interval of 43 months. In addition, CX3CL1 and IL-8 levels were higher in iRBD patients than in HCs. CONCLUSION: We showed a correlation between a profile of four peripheral immune biomarkers and PD development and progression. Our findings may provide a basis whereby PD patients with abnormal inflammatory profiles can be identified and receive timely therapeutic interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-022-02481-3. |
format | Online Article Text |
id | pubmed-9131564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91315642022-05-26 Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study Li, Yuanyuan Yang, Yan Zhao, Aonan Luo, Ningdi Niu, Mengyue Kang, Wenyan Xie, Anmu Lu, Hong Chen, Lei Liu, Jun J Neuroinflammation Research BACKGROUND: Inflammations play crucial role in the pathogenesis of Parkinson’s disease (PD), however, their possible value in the diagnosis or tracking of the progress of PD is still limited, because of discordant results in the literature and a lack of information regarding its reproducibility. Thus, overall longitudinal and cross-sectional studies are needed. This multicentre study was designed to investigate the association between multiple peripheral immune biomarkers and the development and progression of PD. METHODS: This was a longitudinal and multicentre study. First, we measured the levels of five typical cytokines and five focused chemokines in 76 PD patients and 76 healthy controls (HCs) in a discovery cohort. Then, a validation cohort of 80 PD and 80 HC participants was recruited from four multicentre locations. In addition, a prospective follow-up of early-stage PD patients was performed with significant biomarkers. Finally, we performed further verification in an exploratory set of patients with idiopathic REM sleep behaviour disorder (iRBD). RESULTS: In the discovery set, CXCL12, CX3CL1 and IL-8 levels were significantly higher in PD patients than in HCs (p < 0.05). The receiver-operating characteristic (ROC) curve for a combination of these three biomarkers produced a high area under the curve (AUC) of 0.89 (p < 0.001). Moreover, four biomarkers (the previous three and CCL15) were significantly associated with PD in the discovery and validation cohorts. Furthermore, in the prospective follow-up cohort, CX3CL1 levels were associated with motor progression after a mean interval of 43 months. In addition, CX3CL1 and IL-8 levels were higher in iRBD patients than in HCs. CONCLUSION: We showed a correlation between a profile of four peripheral immune biomarkers and PD development and progression. Our findings may provide a basis whereby PD patients with abnormal inflammatory profiles can be identified and receive timely therapeutic interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-022-02481-3. BioMed Central 2022-05-24 /pmc/articles/PMC9131564/ /pubmed/35610646 http://dx.doi.org/10.1186/s12974-022-02481-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Yuanyuan Yang, Yan Zhao, Aonan Luo, Ningdi Niu, Mengyue Kang, Wenyan Xie, Anmu Lu, Hong Chen, Lei Liu, Jun Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study |
title | Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study |
title_full | Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study |
title_fullStr | Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study |
title_full_unstemmed | Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study |
title_short | Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study |
title_sort | parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131564/ https://www.ncbi.nlm.nih.gov/pubmed/35610646 http://dx.doi.org/10.1186/s12974-022-02481-3 |
work_keys_str_mv | AT liyuanyuan parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT yangyan parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT zhaoaonan parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT luoningdi parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT niumengyue parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT kangwenyan parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT xieanmu parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT luhong parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT chenlei parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy AT liujun parkinsonsdiseaseperipheralimmunebiomarkerprofileamulticentrecrosssectionalandlongitudinalstudy |