Peripheral Inflammation Links with the Severity of Clinical Phenotype in Spinocerebellar Ataxia 2
ABSTRACT Background The role of peripheral inflammation in spinocerebellar ataxia type 2 (SCA2) is unknown. Objective The objective of this study was to identify peripheral inflammation biomarkers and their relationship with the clinical and molecular features. Methods Blood cell count–derived infla...
Saved in:
Published in | Movement disorders Vol. 38; no. 5; pp. 880 - 885 |
---|---|
Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.05.2023
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | ABSTRACT
Background
The role of peripheral inflammation in spinocerebellar ataxia type 2 (SCA2) is unknown.
Objective
The objective of this study was to identify peripheral inflammation biomarkers and their relationship with the clinical and molecular features.
Methods
Blood cell count–derived inflammatory indices were measured in 39 SCA2 subjects and their matched controls. Clinical scores of ataxia, nonataxia, and cognitive dysfunction were assessed.
Results
The neutrophil‐to‐lymphocyte ratio (NLR), the platelet‐to‐lymphocyte ratio (PLR), the Systemic Inflammation Index (SII), and the Aggregate Index of Systemic Inflammation (AISI) were significantly increased in SCA2 subjects compared with controls. The increases in PLR, SII, and AISI were even observed in preclinical carriers. NLR, PLR, and SII were correlated with the Scale for the Assessment and Rating of Ataxia speech item score rather than with the total score. The NLR and SII were correlated with the nonataxia and the cognitive scores.
Conclusions
Peripheral inflammatory indices are biomarkers in SCA2, which may help to design future immunomodulatory trials and advance our understanding of the disease. © 2023 International Parkinson and Movement Disorder Society. |
---|---|
Bibliography: | Luis Velázquez‐Pérez is the senior author. All authors received funding from the Cuban Ministry of Science, Technology and Environment; the Cuban Ministry of Public Health; and the Alexander von Humboldt Foundation. No potential conflict or relevant financial disclosure related to the material in the article, regardless of date was found. Relevant conflicts of interest/financial disclosures Funding agencies This work was supported by the Cuban Ministry of Science, Technology, and Environment through the National Program of Neurosciences and Neurotechnology (Project Code PN305LH013–034); the Cuban Ministry of Public Health; and the Alexander von Humboldt Foundation (Digital Cooperation Fellowship for the project titled “Identification of Preclinical and Progression Biomarker Patterns in Spinocerebellar Ataxia Type 2, Using Machine Learning Approaches on Complex Multimodal Cross‐Sectional and Longitudinal Data Sets”). ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0885-3185 1531-8257 1531-8257 |
DOI: | 10.1002/mds.29359 |