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Updated: Jan 7, 2026

Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease
Published on: January 7, 2014
Association between inflammatory markers and Parkinson's disease risk: a cross-sectional, propensity score-matched
Yue Sun1, Shuang Li2, Shengming Shi2
1Department of Geriatric Medicine, The First Affiliated Hospital of Huzhou Normal University, Huzhou First People's Hospital, Huzhou City, Zhejiang Province, China.
Background:
Parkinson's disease (PD) is a chronic neurodegenerative disorder characterized by motor and non-motor symptoms, with neuroinflammation hypothesized to contribute to its pathogenesis. Systemic inflammation, as indicated by elevated peripheral inflammatory markers, has been implicated in PD; however, the relationship between complete blood count (CBC)-derived inflammatory markers and the presence of PD remains unclear.
Methods:
We analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, including 15,349 participants. Propensity score matching was employed to balance baseline characteristics between PD and non-PD groups. Multivariate logistic regression models were used to evaluate the association between CBC-derived inflammatory markers, particularly the neutrophil-to-lymphocyte ratio (NLR), and the presence of PD.
Results:
After multivariable adjustment, elevated NLR was significantly associated with higher odds of PD. Individuals in the highest NLR quartile had higher odds of PD compared to those in the lowest quartile (OR: 2.18, 95% CI: 1.04-4.68; P for trend < 0.0001). This association was consistent across subgroups, including gender, diabetes status, hypertension, obesity, smoking, and alcohol consumption. Other CBC-derived markers, such as the monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI), did not show consistent associations with the presence of PD.
Conclusions:
Elevated NLR is significantly associated with the presence of PD among U.S. adults, independent of key confounders. However, due to the cross-sectional study design and reliance on self-reported PD status, causality cannot be inferred, and misclassification bias cannot be excluded. Further longitudinal studies are warranted to validate these findings and clarify the temporal relationship between systemic inflammation and PD.
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