Association of Osteoarthritis With Increased Risk of Parkinson's Disease: A Population-Based, Longitudinal Follow-Up Study

Exploration beyond osteoarthritis: the association and mechanism of its related comorbidities

Osteoarthritis is the most prevalent age-related degenerative joint disease and a leading cause of pain and disability in aged people. Its etiology is multifaceted, involving factors such as biomechanics, pro-inflammatory mediators, genetics, and metabolism. Beyond its evident impact on joint functionality and the erosion of patients' quality of life, OA exhibits symbiotic relationships with various systemic diseases, giving rise to various complications. This review reveals OA's extensive impact, encompassing osteoporosis, sarcopenia, cardiovascular diseases, diabetes mellitus, neurological disorders, mental health, and even cancer. Shared inflammatory processes, genetic factors, and lifestyle elements link OA to these systemic conditions. Consequently, recognizing these connections and addressing them offers opportunities to enhance patient care and reduce the burden of associated diseases, emphasizing the need for a holistic approach to managing OA and its complications.

Adhesive capsulitis of the shoulder is associated with an increased risk for Parkinson's disease: a population-based longitudinal follow-up study

INTRODUCTION

Previous studies have suggested a positive association between adhesive capsulitis of the shoulder (ACS) and Parkinson's disease (PD), but longitudinal data were lacking. The present population-based longitudinal follow-up study therefore investigated the risk of developing PD in patients with ACS.

METHODS

This study utilized data from Taiwan's Longitudinal Health Insurance Database 2005 (LHID 2005). We defined our ACS group as the 19,920 patients aged between 40 and 79 who had been diagnosed with ACS between 2002 and 2006. The non-ACS group consisted of an age- and sex-matched but otherwise random selection of 19,920 patients without a diagnosis of ACS. The Kaplan-Meier method was then used to examine inter-group differences in PD-free survival rates, and Cox proportional-hazard regression modeling was used to evaluate the impact of ACS on PD risk.

RESULTS

During a median follow-up period of 105 months, 242 subjects in the ACS group and 208 subjects in the non-ACS group developed PD. The adjusted hazard ratio (HR) of 1.53 (1.26-1.86) indicated that ACS patients had a significantly higher risk of developing PD than their non-ACS counterparts, regardless of sex and age. Landmark analysis that excluded PD cases detected within the first 2 years after an ACS diagnosis showed that the HR was almost unchanged, at 1.56 (1.26-1.95).

CONCLUSIONS

Patients with ACS are at a high risk of developing PD.

KEY POINTS

• This population-based study showed that adhesive capsulitis of the shoulder (ACS) is associated with a higher risk of Parkinson's disease (PD). • This study broke new ground by using a longitudinal follow-up design and a nationally representative sample. • Our findings suggest that clinicians who care for ACS patients need to be aware of this increased risk of developing PD.

WDR43 is a potential diagnostic biomarker and therapeutic target for osteoarthritis complicated with Parkinson’s disease

Osteoarthritis (OA) and Parkinson’s disease (PD) are on the rise and greatly impact the quality of individuals’ lives. Although accumulating evidence indicates a relationship between OA and PD, the particular interactions connecting the two diseases have not been thoroughly examined. Therefore, this study explored the association through genetic characterization and functional enrichment. Four datasets (GSE55235, GSE12021, GSE7621, and GSE42966) were chosen for assessment and validation from the Gene Expression Omnibus (GEO) database. Weighted Gene Co-Expression Network Analysis (WGCNA) was implemented to determine the most relevant genes for clinical features. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were carried out to explore the biological processes of common genes, and to display the interrelationships between common genes, the STRING database and the application Molecular Complex Detection Algorithm (MCODE) of Cytoscape software were leveraged to get hub genes. By intersecting the common genes with the differentially expressed genes (DEGs) acquired from GSE12021 and GSE42966, the hub genes were identified. Finally, we validated the diagnostic efficacy of hub genes and explored their correlation with 22 immune infiltrating cells. As a consequence, we discovered 71 common genes, most of which were functionally enriched in antigen processing and presentation, mitochondrial translation, the mRNA surveillance pathway, and nucleocytoplasmic transport. Furthermore, WDR43 was found by intersecting eight hub genes with 28 DEGs from the two validation datasets. Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD. Immune infiltration research revealed that T-cell regulatory (Tregs), monocytes, and mast cells resting were associated with the pathogenesis of OA and PD. WDR43 may provide key insights into the relationship between OA and PD.

Association between osteoarthritis and the incidence of Parkinson's disease in the United Kingdom

Background

Little is known on the potential relationship between osteoarthritis and Parkinson’s disease.

Objective

Therefore, the objective of this retrospective cohort study was to analyze the association between osteoarthritis and the incidence of Parkinson’s disease in patients followed up for up to 10 years in general practices in the United Kingdom.

Methods

This study included patients diagnosed for the first time with osteoarthritis in one of 256 general practices in the United Kingdom between 2000 and 2016 (index date). Patients without osteoarthritis were matched (1:1) to those with osteoarthritis using propensity scores based on sex, age and index year. In individuals without osteoarthritis, index date corresponded to a randomly selected visit date. The outcome of this study was the 10-year cumulative incidence of Parkinson’s disease in patients with and without osteoarthritis. Cox regression analyses were adjusted for common comorbidities.

Results

This study included 260,224 patients (62.0% women; mean [SD] age 66.4 [12.7] years). The 10-year cumulative incidence of Parkinson’s disease was 1.2% in patients with osteoarthritis and 0.6% in their counterparts without osteoarthritis (log-rank p-value < 0.001). The adjusted Cox regression model further showed a positive and significant association between osteoarthritis and the incidence of Parkinson’s disease (HR = 1.82, 95% CI: 1.63–2.02). Similar results were obtained in all sex and age subgroups.

Conclusions

In this retrospective cohort study conducted in the United Kingdom, there was a positive association between osteoarthritis and the incidence of Parkinson’s disease. More research is warranted to confirm or refute these findings in other settings and countries.