Positive association of Parkinson's disease with ankylosing spondylitis: a nationwide population-based study

Association between ankylosing spondylitis and neurodegenerative diseases: Systematic review and meta-analysis

BACKGROUND

Increasing evidence indicates the mechanism of overlapping immune dysfunction and inflammation disorder shared by ankylosing spondylitis (AS) and neurodegenerative diseases (NDs). However, the exact correlation between the two is still unclear. Different studies have reported inconsistent results about how AS and NDs are related.

OBJECTIVE

This study aimed to investigate the association between AS and risk of NDs.

METHODS

We searched electronic databases including PubMed, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials to identify studies reporting relationship between NDs risk and AS published before April 10th, 2024. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were estimated. All analyses were conducted using Stata V.12.0 software.

RESULTS

A total of 15 comparisons out of 10 studies involving 851,936 participants were included. The results showed that the risk of NDs was higher among AS patients than those who were not (OR: 1.36, 95% CI: 1.15-1.60, P<0.001). In addition, subgroup analysis showed that AS was associated with an increased risk of Parkinson's disease (PD) development (OR: 1.55, 95% CI: 1.31-1.83, P<0.001), whereas there is no observed association with Alzheimer's disease (AD) and dementia (OR: 1.22, 95% CI: 0.96-1.55, P=0.098; OR: 1.34, 95% CI: 0.96-1.87, P=0.089, respectively).

CONCLUSION

The current meta-analysis identified AS as a risk factor for the development of NDs. Clinicians should be aware of the potential association between these diseases. Further research is necessary to confirm the causal relationship and underlying mechanisms between AS and NDs.

No causal relationship between ankylosing spondylitis and Parkinson's disease: Insights from Mendelian randomization studies

Background

Retrospective cohort and cross-sectional studies have indicated an association between ankylosing spondylitis (AS) and Parkinson's disease (PD). However, owing the multitude of limitations, a consistent conclusion has not been determined. Furthermore, whether a causal relationship exists between these two diseases remains unclear.

Methods

We conducted a two-way Mendelian randomization (MR) analysis using genome-wide association study data. For patients with PD, we utilised data from the ieu-b-7 database, whereas for patients with AS, we employed the three databases with the largest sample sizes for a combined analysis. These databases included ebi-a-GCST005529, finn-b-M13 ANKYLOSPON, and finn-b-M13 ANKYLOSPON STRICT. Our primary method of analysis was inverse variance weighting (IVW), supplemented by four other effective methods, to comprehensively infer a potential causal relationship between AS and PD. Additionally, we conduct various sensitivity analyses to assess the robustness of our estimates.

Results

Based on our IVW MR analysis, no significant causal relationship between AS and PD was observed (odds ratio [OR] = 1.01, 95 % confidence interval [CI] = 0.99-1.03, P = 0.26). Additionally, our reverse MR analysis found no evidence supporting a significant causal relationship between PD and AS (OR = 0.93, 95 % CI = 0.85-1.01, P = 0.068). These results were substantiated by comprehensive sensitivity analyses that indicated minimal bias in the causal estimates.

Conclusion

In contrast to numerous existing clinical studies, this study failed to provide evidence supporting a significant impact of AS on PD risk, or vice versa. Further investigations regarding the potential causal mechanisms linking AS and PD are warranted.

Identification of necroptosis-related genes in ankylosing spondylitis by bioinformatics and experimental validation

The pathogenesis of ankylosing spondylitis (AS) remains unclear, and while recent studies have implicated necroptosis in various autoimmune diseases, an investigation of its relationship with AS has not been reported. In this study, we utilized the Gene Expression Omnibus database to compare gene expressions between AS patients and healthy controls, identifying 18 differentially expressed necroptosis-related genes (DENRGs), with 8 upregulated and 10 downregulated. Through the application of three machine learning algorithms-least absolute shrinkage and selection operation, support vector machine-recursive feature elimination and random forest-two hub genes, FASLG and TARDBP, were pinpointed. These genes demonstrated high specificity and sensitivity for AS diagnosis, as evidenced by receiver operating characteristic curve analysis. These findings were further supported by external datasets and cellular experiments, which confirmed the downregulation of FASLG and upregulation of TARDBP in AS patients. Immune cell infiltration analysis suggested that CD4+ T cells, CD8+ T cells, NK cells and neutrophils may be associated with the development of AS. Notably, in the group with high FASLG expression, there was a significant infiltration of CD8+ T cells, memory-activated CD4+ T cells and resting NK cells, with relatively less infiltration of memory-resting CD4+ T cells and neutrophils. Conversely, in the group with high TARDBP expression, there was enhanced infiltration of naïve CD4+ T cells and M0 macrophages, with a reduced presence of memory-resting CD4+ T cells. In summary, FASLG and TARDBP may contribute to AS pathogenesis by regulating the immune microenvironment and immune-related signalling pathways. These findings offer new insights into the molecular mechanisms of AS and suggest potential new targets for therapeutic strategies.

Epidemiology of Parkinson's Disease: An Update

PURPOSE OF REVIEW

In recent decades, epidemiological understanding of Parkinson disease (PD) has evolved significantly. Major discoveries in genetics and large epidemiological investigations have provided a better understanding of the genetic, behavioral, and environmental factors that play a role in the pathogenesis and progression of PD. In this review, we provide an epidemiological update of PD with a particular focus on advances in the last five years of published literature.

RECENT FINDINGS

We include an overview of PD pathophysiology, followed by a detailed discussion of the known distribution of disease and varied determinants of disease. We describe investigations of risk factors for PD, and provide a critical summary of current knowledge, knowledge gaps, and both clinical and research implications. We emphasize the need to characterize the epidemiology of the disease in diverse populations. Despite increasing understanding of PD epidemiology, recent paradigm shifts in the conceptualization of PD as a biological entity will also impact epidemiological research moving forward and guide further work in this field.

Investigation of the causal association between Parkinson's disease and autoimmune disorders: a bidirectional Mendelian randomization study

Background

To date, an increasing number of epidemiological evidence has pointed to potential relationships between Parkinson's disease (PD) and various autoimmune diseases (AIDs), however, no definitive conclusions has been drawn about whether PD is causally related to AIDs risk.

Methods

By employing summary statistics from the latest and most extensive genome-wide association studies (GWAS), we performed a bidirectional two-sample Mendelian randomization (MR) analysis to investigate the causal associations between PD and a variety of 17 AIDs, encompassing multiple sclerosis, neuromyelitis optica spectrum disorder, myasthenia gravis, asthma, inflammatory bowel disease, Crohn's disease, ulcerative colitis, irritable bowel syndrome, celiac disease, primary biliary cirrhosis, primary sclerosing cholangitis, type 1 diabetes, ankylosing spondylitis, rheumatoid arthritis, systemic lupus erythematosus, psoriasis and vitiligo. Inverse-variance weighted (IVW) was adopted as the main statistical approach to obtain the causal estimates of PD on different AIDs, supplemented by a series of complementary analyses (weighted median, MR Egger regression, and MR-PRESSO) for further strengthening the robustness of results.

Results

Our MR findings suggested that genetically predicted higher liability to PD was causally associated with a decreased risk of irritable bowel syndrome (OR = 0.98; 95% CI: 0.96-0.99; P = 0.032). On the contrary, IVW analysis showed a potential positive correlation between genetically determined PD and the incidence of type 1 diabetes (OR = 1.10; 95%CI: 1.02-1.19; P = 0.010). Subsequent MR tests ended up in similar results, confirming our findings were reliable. Additionally, in the reverse MR analyses, we did not identify any evidence to support the causal relationship of genetic predisposition to AIDs with PD susceptibility.

Conclusion

In general, a bifunctional role that PD exerted on the risk of developing AIDs was detected in our studies, both protecting against irritable bowel syndrome occurrence and raising the incidence of type 1 diabetes. Future studies, including population-based observational studies and molecular experiments in vitro and in vivo, are warranted to validate the results of our MR analyses and refine the underlying pathological mechanisms involved in PD-AIDs associations.

Inflammation, Autoimmunity and Neurodegenerative Diseases, Therapeutics and Beyond

Neurodegenerative disease (ND) incidence has recently increased due to improved life expectancy. Alzheimer's (AD) or Parkinson's disease (PD) are the most prevalent NDs. Both diseases are poly genetic, multifactorial and heterogenous. Preventive medicine, a healthy diet, exercise, and controlling comorbidities may delay the onset. After the diseases are diagnosed, therapy is needed to slow progression. Recent studies show that local, peripheral and age-related inflammation accelerates NDs' onset and progression. Patients with autoimmune disorders like inflammatory bowel disease (IBD) could be at higher risk of developing AD or PD. However, no increase in ND incidence has been reported if the patients are adequately diagnosed and treated. Autoantibodies against abnormal tau, β amyloid and α- synuclein have been encountered in AD and PD and may be protective. This discovery led to the proposal of immune-based therapies for AD and PD involving monoclonal antibodies, immunization/ vaccines, pro-inflammatory cytokine inhibition and anti-inflammatory cytokine addition. All the different approaches have been analysed here. Future perspectives on new therapeutic strategies for both disorders are concisely examined.

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.

Inflammatory rheumatic diseases and the risk of Parkinson's disease: A systematic review and meta-analysis

BACKGROUND

Several studies showed inconsistencies in the relationships between inflammatory rheumatic diseases (IRDs) and the risk of Parkinson's disease (PD). Therefore, we carried out a meta-analysis to investigate the associations between different IRDs and PD risk.

METHODS

A comprehensive search was undertaken on PubMed, Embase, Cochrane Library, and Web of Science databases up to June 2022. Studies reporting the relationships between IRDs and PD risk were included. Pooled relative risks (RRs) with 95% confidence intervals (CIs) were calculated by using random-effects models.

RESULTS

Twenty-two publications covering seven IRDs containing data from 833,004 patients were identified for quantitative analysis. The pooled results indicated that ankylosing spondylitis (RR = 1.55, 95% CI: 1.31-1.83, I2 = 32.1%, P < 0.001), Sjögren's syndrome (RR = 1.34, 95% CI: 1.22-1.47, I2 = 58.5%, P < 0.001), and Behcet's disease (RR = 1.93, 95% CI: 1.07-3.49, I2 = 57.6%, P = 0.030) were associated with an increased PD risk. However, no significant associations were observed between gout, rheumatoid arthritis, systemic lupus erythematosus, as well as polymyalgia rheumatica and the subsequent development of PD.

CONCLUSION

Ankylosing spondylitis, Sjögren's syndrome, and Behcet's disease may increase PD risk.

New Insights into the Regulatory Role of Ferroptosis in Ankylosing Spondylitis via Consensus Clustering of Ferroptosis-Related Genes and Weighted Gene Co-Expression Network Analysis

Background: The pathogenesis of ankylosing spondylitis (AS) remains undetermined. Ferroptosis is a newly discovered form of regulated cell death involved in multiple autoimmune diseases. Currently, there are no reports on the connection between ferroptosis and AS. Methods: AS samples from the Gene Expression Omnibus were divided into two subgroups using consensus clustering of ferroptosis-related genes (FRGs). Weighted gene co-expression network analysis (WGCNA) of the intergroup differentially expressed genes (DEGs) and protein–protein interaction (PPI) analysis of the key module were used to screen out hub genes. A multifactor regulatory network was then constructed based on hub genes. Results: The 52 AS patients in dataset GSE73754 were divided into cluster 1 (n = 24) and cluster 2 (n = 28). DEGs were mainly enriched in pathways related to mitochondria, ubiquitin, and neurodegeneration. Candidate hub genes, screened by PPI and WGCNA, were intersected. Subsequently, 12 overlapping genes were identified as definitive hub genes. A multifactor interaction network with 45 nodes and 150 edges was generated, comprising the 12 hub genes and 32 non-coding RNAs. Conclusions: AS can be divided into two subtypes according to FRG expression. Ferroptosis might play a regulatory role in AS. Tailoring treatment according to the ferroptosis status of AS patients can be a promising direction.

TNF inhibitors have a protective role in the risk of dementia in patients with ankylosing spondylitis: Results from a nationwide study

OBJECTIVES

Ankylosing spondylitis (AS) is a chronic progressive and debilitating form of arthritis with associated extra-articular features including uveitis, intestinal and lung apical inflammation and psoriasis. Putative associations between AS and neurologic disorders has been relatively overlooked. The purpose of this study is to assess the link between AS and major neurologic disorders and whether treatment with Tumor-Necrosis-Factor inhibitors (TNFi) has an impact on that association.

METHODS

A retrospective cross-sectional study was carried out based on the Clalit Health Services (CHS) computerized database. AS patients were compared to age- and gender-matched controls with respect to the proportion of Alzheimer's disease (AD), Parkinson's disease (PD), epilepsy, and multiple sclerosis (MS). The impact of AS therapy (biologic vs conventional therapy) was assessed as well.

RESULTS

4,082 AS patients and 20,397 age- and gender-matched controls were identified. AS was associated with a higher prevalence of AD (odds-ratio(OR) 1.46 [95%Confidence-interval(CI) 1.13-1.87], p=0.003), epilepsy (OR 2.33 [95%CI 1.75-3.09] p<0.0001) and PD (OR 2.75 [95%CI 2.04-3.72], p<0.0001), whereas no statistically significant association was found for MS. Association with PD remained significant in the multivariate analysis (OR 1.49 [95%CI 1.05- 2.13],p=0.027). Within AS patients, the use of TNFi (OR 0.10 [95%CI 0.01-0.74], p=0.024) were associated with a lowered risk of developing AD.

CONCLUSION

AS is positively associated with AD, PD, and epilepsy but not MS. AS patients treated with TNFi have lower rates of AD.

Epidemiological Evidence for an Immune Component of Parkinson's Disease

There is a growing interest in the role the immune system and inflammatory response play on the pathophysiology of Parkinson's disease (PD). Epidemiological evidence lends support for the hypothesis that PD is an immune-mediated condition. An association between inflammatory bowel disease, including Crohn's and Ulcerative colitis, and the risk of PD has been described and replicated in several population-based cohorts. Other autoimmune conditions, such as Sjogren syndrome, ankylosing spondylitis, and rheumatoid arthritis also seem to be associated with an increased risk of PD. Immunosuppressant medications seem to be associated with a decreased risk of PD. Finally, variants in genes involved in immune system regulation are also shared between PD and autoimmune conditions. In this review, we will provide an overview of epidemiological evidence from population-based cohort studies, meta-analyses, and genome-wide association studies that analyze the association between the immune system and PD, discuss current gaps in the literature and future research directions in this field.

Ankylosing Spondylitis: A Risk Factor for Parkinsonism-A Nationwide Population-Based Study

BACKGROUND

Ankylosing spondylitis (AS) is an immune-mediated, chronic inflammatory rheumatic disorder. The etiology of Parkinson's disease (PD) is multifactorial; however, inflammation is receiving an increasing amount of attention as an underlying cause of the neurodegenerative process of PD.

OBJECTIVE

We performed a nationwide longitudinal, population-based matched cohort study to assess the association with the later development of parkinsonism in Korea.

METHODS

This study was conducted using records from the Health Insurance Review and Assessment Service database. The cumulative incidence rate of PD was estimated. Fine-Gray subdistribution hazard models were used to identify hazards associated with PD development based on the presence of AS. Exposure to anti-inflammatory drugs was measured and analyzed to determine the protective effect of these medications. Additionally, the hazard ratio (HR) for atypical parkinsonism was estimated.

RESULTS

The results of the Fine-Gray subdistribution hazard model revealed that the HR for PD development in the AS group was 1.82 (95%confidence interval [CI], 1.38-2.39, p <  0.001). A significant decrease in PD development was observed in patients with AS taking non-steroidal anti-inflammatory drugs (NSAIDs). The HR for atypical parkinsonism in the AS group was 3.86 (95%CI, 1.08-13.78, p <  0.05).

CONCLUSION

We found that AS was associated with an increased risk of PD and atypical parkinsonism. NSAIDs used for AS control have some protective effects against PD. Further studies assessing whether biological treatment mitigates PD risk in patients with high activity are warranted.