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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2024.1393740</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between osteoarthritis with Parkinson&#x2019;s disease in the US (NHANES 2011&#x2013;2020)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Liu</surname> <given-names>Yang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn00001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2667048/overview"/>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhou</surname> <given-names>Xue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn00001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Chunhai</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Xuefeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Pan</surname> <given-names>Ting</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Ziqi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wu</surname> <given-names>Dalong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Chen</surname> <given-names>Xinhua</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2644086/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Changchun University of Chinese Medicine</institution>, <addr-line>Changchun</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>The Affiliated Hospital to Changchun University of Chinese Medicine</institution>, <addr-line>Changchun</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002"><p>Edited by: Pradeep Kumar, All India Institute of Medical Sciences, India</p></fn>
<fn fn-type="edited-by" id="fn0003"><p>Reviewed by: Jinru Zhang, Second Affiliated Hospital of Soochow University, China</p><p>Meng Jia, University of Pennsylvania, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Dalong Wu, <email>wdl198119@163.com</email>; Xinhua Chen, <email>187098190@qq.com</email></corresp>
<fn id="fn00001" fn-type="equal"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>18</volume>
<elocation-id>1393740</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>08</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Liu, Zhou, Chen, Li, Pan, Liu, Wu and Chen.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Liu, Zhou, Chen, Li, Pan, Liu, Wu and Chen</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objected</title>
<p>To evaluate the association between osteoarthritis (OA) and Parkinson&#x2019;s disease (PD) in adults in the United States.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Using 2011&#x2013;2020 NHANES data, a cross-sectional study of 11,117 adults over the age of 40 was conducted. Univariate logistic regression and multivariate logistic regression were used to analyze the relationship between arthritis and PD. In addition, stratified analysis was used to examine whether the relationship between arthritis and PD was interactive with age, gender, race, education, BMI.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>In this study, a total of 11,117 participants were included, and we found that osteoarthritis was positively correlated with the development of PD compared with non-arthritis patients [1.95 (1.44&#x2009;~&#x2009;2.62)] (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). After adjusting the covariates, the results are still stable.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>PD patients were positively correlated with OA. Among people with OA, there was a 95% increased risk of PD compared to people without arthritis. Therefore, when treating OA, attention should be paid to the increased risk of PD. In the meantime, further studies are needed to explore the link between OA and PD patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Parkinson&#x2019;s disease</kwd>
<kwd>osteoarthritis</kwd>
<kwd>cross-sectional study</kwd>
<kwd>NHANES</kwd>
<kwd>neurodegenerative disease</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="8"/>
<word-count count="5093"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neurodegeneration</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Parkinson&#x2019;s disease (PD) is a prevalent degenerative disorder of the central nervous system, ranking second only to Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="ref12">Hirtz et al., 2007</xref>). Epidemiological studies indicate that the incidence of PD rises with age (<xref ref-type="bibr" rid="ref27">Savica et al., 2016</xref>). The primary clinical manifestations include motor symptoms such as resting tremors, muscle stiffness, bradykinesia, and postural instability (<xref ref-type="bibr" rid="ref2">Bledsoe et al., 2023</xref>). Characteristic pathological features encompass dopaminergic neuron degeneration and loss, <italic>&#x03B1;</italic>-synuclein (<italic>&#x03B1;</italic>-syn) aggregation, and the presence of Lewy bodies (<xref ref-type="bibr" rid="ref17">Jankovic and Tan, 2020</xref>). Although the pathogenesis of PD remains elusive, emerging evidence suggests a potential role of inflammation in the disease. Various studies have demonstrated that heightened levels of inflammatory mediators can activate microglia, contributing to dopaminergic neuron degeneration (<xref ref-type="bibr" rid="ref22">L&#x00FC;cking et al., 2000</xref>; <xref ref-type="bibr" rid="ref25">Perry, 2004</xref>). Neuroinflammation observed in PD patients may also influence the onset or progression of chronic neurodegenerative conditions (<xref ref-type="bibr" rid="ref22">L&#x00FC;cking et al., 2000</xref>; <xref ref-type="bibr" rid="ref25">Perry, 2004</xref>).</p>
<p>Arthritis is an inflammatory disease that affects the joints and surrounding tissues of the body. Studies have shown a rise in its incidence and prevalence over the years (<xref ref-type="bibr" rid="ref35">The Lancet, 2017</xref>). The types of arthritis include osteoarthritis (OA), rheumatoid arthritis (RA), psoriatic arthritis (PsA), and other forms (<xref ref-type="bibr" rid="ref32">Tang, 2019</xref>). These types are categorized as inflammatory joint diseases with varying causes (<xref ref-type="bibr" rid="ref9">Frangos and Maret, 2020</xref>). In the case of OA, inflammation, whether local or systemic, can lead to joint and bone damage, with specific inflammatory factors such as IL-1<italic>&#x03B1;</italic>, tumor necrosis factor (TNF-<italic>&#x03B1;</italic>), and C-reactive protein playing a significant role in its development (<xref ref-type="bibr" rid="ref13">Hn and Vb, 2015</xref>). Similarly, in patients with Parkinson&#x2019;s disease (PD), there are also elevated levels of related inflammatory factors, which differ significantly from those seen in PD alone (<xref ref-type="bibr" rid="ref19">Liu T.-W. et al., 2022</xref>).</p>
<p>In patients, <italic>&#x03B1;</italic>-syn can activate inflammatory bodies peripherally, thus triggering peripheral inflammation (<xref ref-type="bibr" rid="ref31">Tan et al., 2020</xref>). Peripheral inflammation is also considered an essential factor in PD pathogenesis (<xref ref-type="bibr" rid="ref7">Fan et al., 2020</xref>). The widespread peripheral inflammation may indicate an interaction between osteoarthritis and PD. Studies have shown that C-reactive protein and erythrocyte sedimentation rate are correlated with the prevalence of PD, and they are also biomarkers of arthritis (<xref ref-type="bibr" rid="ref8">Fardell et al., 2021</xref>; <xref ref-type="bibr" rid="ref26">Qu et al., 2023</xref>). Additionally, non-steroidal anti-inflammatory drugs (NSAIDs) are commonly used in osteoarthritis treatment, and prolonged use of these medications can lower the risk of PD (<xref ref-type="bibr" rid="ref28">Schiess, 2003</xref>). Studies have demonstrated that NSAIDs can help maintain neuronal integrity (<xref ref-type="bibr" rid="ref3">Casper et al., 2000</xref>; <xref ref-type="bibr" rid="ref34">Teema et al., 2016</xref>). Therefore, it is plausible to assume an association between OA patients taking NSAIDs and PD. However, the results of studies investigating the link between osteoarthritis and Parkinson&#x2019;s disease remain inconclusive.</p>
<p>The existing research on the correlation between osteoarthritis and Parkinson&#x2019;s disease is inconclusive. To further examine this relationship, we conducted a study on a significant sample size sourced from the US National Health and Nutrition Examination Survey (NHANES). This study is believed to be the first to utilize NHANES data in investigating the potential link between osteoarthritis and PD risk.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<title>Materials and methods</title>
<sec id="sec7">
<title>Data source</title>
<p>The study utilized data from the NHANES database spanning from 2011 to 2020. The NHANES Database, available at <ext-link xlink:href="https://www.cdc.gov/nchs/nhanes/index.htm" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes/index.htm</ext-link>, is a research program aimed at evaluating the health and nutrition status of individuals in the United States, covering various populations and health topics. A decade&#x2019;s worth of data was collected from this database to construct the dataset for the study. Initially, individuals aged 40 and above were considered for exclusion, followed by the exclusion of participants with incomplete personal information. The specific exclusion criteria employed in this study are detailed in <xref ref-type="fig" rid="fig1">Figure 1</xref>. Ultimately, the study included a total of 11,117 NHANES participants.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow diagram of the sample selection from the National Health and Nutrition Examination Survey (NHANES) 2011&#x2013;2020.</p>
</caption>
<graphic xlink:href="fnins-18-1393740-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<title>Assessment of Parkinson&#x2019;s disease</title>
<p>In the NHANES database, in conjunction with previous literature (<xref ref-type="bibr" rid="ref20">Liu S.-Y. et al., 2022</xref>; <xref ref-type="bibr" rid="ref21">Liu et al., 2023</xref>), individuals taking specific Parkinson&#x2019;s drugs were classified as having Parkinson&#x2019;s disease. This classification was determined based on participants&#x2019; responses regarding prescription medications. It is important to note that this method is constrained by the medications and codes available in NHANES, requiring individuals to be actively receiving Parkinson&#x2019;s disease medication to be categorized as having the disease. Conversely, those who were not taking the specified medications were classified as not having Parkinson&#x2019;s disease.</p>
</sec>
<sec id="sec9">
<title>Assessment of arthritis</title>
<p>Arthritis diagnosis in the survey was determined based on two key questions. The first question asked participants if a doctor had ever diagnosed them with arthritis. Those who responded &#x201C;No&#x201D; were categorized as non-arthritis cases. For those who answered &#x201C;Yes,&#x201D; a follow-up question inquired about the specific type of arthritis diagnosed. Participants were further classified into osteoarthritis, rheumatoid arthritis, psoriatic arthritis, or other types based on their responses to the second question.</p>
</sec>
<sec id="sec10">
<title>Measurements of other covariates</title>
<p>According to previous research and clinical experience, the key variables examined in this research included demographic factors, personal medical history, and chronic conditions (<xref ref-type="bibr" rid="ref37">Zeng et al., 2023</xref>, <xref ref-type="bibr" rid="ref38">2024</xref>). Demographic factors encompassed age, sex (female, male), race (Mexican American, other Hispanic, non-Hispanic white, non-Hispanic black, other race), marital (married, living with a partner, separated, widowed, divorced, never married), and education (&#x2264;9, 9&#x2013;12, &#x2265;12). Prior studies have suggested that nicotine may serve as a protective factor for Parkinson&#x2019;s disease by enhancing the survival of dopaminergic neurons (<xref ref-type="bibr" rid="ref21">Liu et al., 2023</xref>), hence smoking was considered a significant covariate. Participants were queried about their history of smoking at least 100 cigarettes in their lifetime, with a &#x2018;Yes&#x2019; response indicating a smoker and &#x2018;No&#x2019; indicating a non-smoker. Chronic diseases of interest included diabetes, hypertension, hyperlipidemia, heart disease, stroke, and cancer. Body Mass Index (BMI) was utilized as a standard measure of obesity, with weight and height being measured by trained health professionals. BMI was calculated as weight (kg) divided by height squared (m<sup>2</sup>), and both age and BMI were treated as continuous variables.</p>
</sec>
<sec id="sec11">
<title>Statistical analyses</title>
<p>SPSS was utilized for data extraction and cleaning, while the Nhanes R package in R software (v4.2.1) and FreeStatistics (v1.9) were employed for data analysis (<xref ref-type="bibr" rid="ref38">Zeng et al., 2024</xref>). Categorical variables were presented as frequencies and percentages, whereas continuous variables were depicted as means and standard deviations. To investigate the relationship between arthritis and PD, a multivariate logistic regression model and univariate logistic analysis were conducted, adjusting for potential confounders. Several models were utilized: Model I with no covariate adjustments, Model II with adjustments for sex, age, race, marital, education, and BMI, Model III with the addition of smoking to the Model II covariates, and Model IV which further adjusted for diabetes, hypertension, hyperlipidemia, heart disease, stroke, and cancer. Univariate regression analysis revealed associations between all these factors and PD. Subgroup analyses were then performed based on age, sex, race, education, and BMI.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<title>Results</title>
<sec id="sec13">
<title>Characteristics of participants</title>
<p>The final analysis involved 11,117 participants from NHANES cycles 2011&#x2013;2020, with 5,150 reporting arthritis, including 2,318 patients with osteoarthritis. <xref ref-type="table" rid="tab1">Table 1</xref> details the participants&#x2019; demographic characteristics, smoking history, and chronic complications, revealing differences in the prevalence of conditions like heart disease, stroke, cancer, diabetes, hypertension, and hyperlipemia among the groups. The prevalence of non-arthritis, osteoarthritis, rheumatoid arthritis, and other arthritis among PD patients were 1.8, 4.0, 2.7, and 3.6% respectively, suggesting a correlation between osteoarthritis and PD.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Data characteristics of the participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Total (<italic>n</italic> =&#x2009;11,117)</th>
<th align="center" valign="top">Non-arthritis (<italic>n</italic> =&#x2009;5,967)</th>
<th align="center" valign="top">OA (<italic>n</italic> =&#x2009;2,318)</th>
<th align="center" valign="top">RA (<italic>n</italic> =&#x2009;979)</th>
<th align="center" valign="top">Other (<italic>n</italic> =&#x2009;1853)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6">Age, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;64</td>
<td align="center" valign="top">6,252 (56.2)</td>
<td align="center" valign="top">3,820 (64)</td>
<td align="center" valign="top">1,021 (44)</td>
<td align="center" valign="top">508 (51.9)</td>
<td align="center" valign="top">903 (48.7)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;64</td>
<td align="center" valign="top">4,865 (43.8)</td>
<td align="center" valign="top">2,147 (36)</td>
<td align="center" valign="top">1,297 (56)</td>
<td align="center" valign="top">471 (48.1)</td>
<td align="center" valign="top">950 (51.3)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Sex, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">5,118 (46.0)</td>
<td align="center" valign="top">3,087 (51.7)</td>
<td align="center" valign="top">819 (35.3)</td>
<td align="center" valign="top">414 (42.3)</td>
<td align="center" valign="top">798 (43.1)</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">5,999 (54.0)</td>
<td align="center" valign="top">2,880 (48.3)</td>
<td align="center" valign="top">1,499 (64.7)</td>
<td align="center" valign="top">565 (57.7)</td>
<td align="center" valign="top">1,055 (56.9)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Race, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">1,087 (9.8)</td>
<td align="center" valign="top">641 (10.7)</td>
<td align="center" valign="top">171 (7.4)</td>
<td align="center" valign="top">113 (11.5)</td>
<td align="center" valign="top">162 (8.7)</td>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">1,121 (10.1)</td>
<td align="center" valign="top">628 (10.5)</td>
<td align="center" valign="top">170 (7.3)</td>
<td align="center" valign="top">101 (10.3)</td>
<td align="center" valign="top">222 (12)</td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">4,725 (42.5)</td>
<td align="center" valign="top">2,287 (38.3)</td>
<td align="center" valign="top">1,352 (58.3)</td>
<td align="center" valign="top">326 (33.3)</td>
<td align="center" valign="top">760 (41)</td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">2,771 (24.9)</td>
<td align="center" valign="top">1,453 (24.4)</td>
<td align="center" valign="top">415 (17.9)</td>
<td align="center" valign="top">347 (35.4)</td>
<td align="center" valign="top">556 (30)</td>
</tr>
<tr>
<td align="left" valign="top">Other Race</td>
<td align="center" valign="top">1,413 (12.7)</td>
<td align="center" valign="top">958 (16.1)</td>
<td align="center" valign="top">210 (9.1)</td>
<td align="center" valign="top">92 (9.4)</td>
<td align="center" valign="top">153 (8.3)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Marital, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">6,611 (59.5)</td>
<td align="center" valign="top">3,794 (63.6)</td>
<td align="center" valign="top">1,342 (57.9)</td>
<td align="center" valign="top">515 (52.6)</td>
<td align="center" valign="top">960 (51.8)</td>
</tr>
<tr>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="top">4,506 (40.5)</td>
<td align="center" valign="top">2,173 (36.4)</td>
<td align="center" valign="top">976 (42.1)</td>
<td align="center" valign="top">464 (47.4)</td>
<td align="center" valign="top">893 (48.2)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Education, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;9</td>
<td align="center" valign="top">1,170 (10.5)</td>
<td align="center" valign="top">614 (10.3)</td>
<td align="center" valign="top">164 (7.1)</td>
<td align="center" valign="top">135 (13.8)</td>
<td align="center" valign="top">257 (13.9)</td>
</tr>
<tr>
<td align="left" valign="top">9&#x2013;12</td>
<td align="center" valign="top">3,954 (35.6)</td>
<td align="center" valign="top">2005 (33.6)</td>
<td align="center" valign="top">780 (33.6)</td>
<td align="center" valign="top">414 (42.3)</td>
<td align="center" valign="top">755 (40.7)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;12</td>
<td align="center" valign="top">5,993 (53.9)</td>
<td align="center" valign="top">3,348 (56.1)</td>
<td align="center" valign="top">1,374 (59.3)</td>
<td align="center" valign="top">430 (43.9)</td>
<td align="center" valign="top">841 (45.4)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">BMI, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">Under normal weight</td>
<td align="center" valign="top">2,485 (22.4)</td>
<td align="center" valign="top">1,541 (25.8)</td>
<td align="center" valign="top">447 (19.3)</td>
<td align="center" valign="top">185 (18.9)</td>
<td align="center" valign="top">312 (16.8)</td>
</tr>
<tr>
<td align="left" valign="top">Overweight</td>
<td align="center" valign="top">3,626 (32.6)</td>
<td align="center" valign="top">2068 (34.7)</td>
<td align="center" valign="top">684 (29.5)</td>
<td align="center" valign="top">303 (30.9)</td>
<td align="center" valign="top">571 (30.8)</td>
</tr>
<tr>
<td align="left" valign="top">Obese</td>
<td align="center" valign="top">5,006 (45.0)</td>
<td align="center" valign="top">2,358 (39.5)</td>
<td align="center" valign="top">1,187 (51.2)</td>
<td align="center" valign="top">491 (50.2)</td>
<td align="center" valign="top">970 (52.3)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Smoking, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">5,314 (47.8)</td>
<td align="center" valign="top">2,629 (44.1)</td>
<td align="center" valign="top">1,201 (51.8)</td>
<td align="center" valign="top">506 (51.7)</td>
<td align="center" valign="top">978 (52.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">5,803 (52.2)</td>
<td align="center" valign="top">3,338 (55.9)</td>
<td align="center" valign="top">1,117 (48.2)</td>
<td align="center" valign="top">473 (48.3)</td>
<td align="center" valign="top">875 (47.2)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Heart disease, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">891 (8.0)</td>
<td align="center" valign="top">374 (6.3)</td>
<td align="center" valign="top">247 (10.7)</td>
<td align="center" valign="top">93 (9.5)</td>
<td align="center" valign="top">177 (9.6)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">10,226 (92.0)</td>
<td align="center" valign="top">5,593 (93.7)</td>
<td align="center" valign="top">2071 (89.3)</td>
<td align="center" valign="top">886 (90.5)</td>
<td align="center" valign="top">1,676 (90.4)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Stroke, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">821 (7.4)</td>
<td align="center" valign="top">348 (5.8)</td>
<td align="center" valign="top">203 (8.8)</td>
<td align="center" valign="top">106 (10.8)</td>
<td align="center" valign="top">164 (8.9)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">10,296 (92.6)</td>
<td align="center" valign="top">5,619 (94.2)</td>
<td align="center" valign="top">2,115 (91.2)</td>
<td align="center" valign="top">873 (89.2)</td>
<td align="center" valign="top">1,689 (91.1)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Cancer, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1904 (17.1)</td>
<td align="center" valign="top">822 (13.8)</td>
<td align="center" valign="top">532 (23)</td>
<td align="center" valign="top">183 (18.7)</td>
<td align="center" valign="top">367 (19.8)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">9,213 (82.9)</td>
<td align="center" valign="top">5,145 (86.2)</td>
<td align="center" valign="top">1786 (77)</td>
<td align="center" valign="top">796 (81.3)</td>
<td align="center" valign="top">1,486 (80.2)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Diabetes, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">2,891 (26.0)</td>
<td align="center" valign="top">1,464 (24.5)</td>
<td align="center" valign="top">588 (25.4)</td>
<td align="center" valign="top">304 (31.1)</td>
<td align="center" valign="top">535 (28.9)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">7,787 (70.0)</td>
<td align="center" valign="top">4,286 (71.8)</td>
<td align="center" valign="top">1,629 (70.3)</td>
<td align="center" valign="top">632 (64.6)</td>
<td align="center" valign="top">1,240 (66.9)</td>
</tr>
<tr>
<td align="left" valign="top">Border</td>
<td align="center" valign="top">439 (3.9)</td>
<td align="center" valign="top">217 (3.6)</td>
<td align="center" valign="top">101 (4.4)</td>
<td align="center" valign="top">43 (4.4)</td>
<td align="center" valign="top">78 (4.2)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Hypertension, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">6,999 (63.0)</td>
<td align="center" valign="top">3,427 (57.4)</td>
<td align="center" valign="top">1,580 (68.2)</td>
<td align="center" valign="top">694 (70.9)</td>
<td align="center" valign="top">1,298 (70)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">4,118 (37.0)</td>
<td align="center" valign="top">2,540 (42.6)</td>
<td align="center" valign="top">738 (31.8)</td>
<td align="center" valign="top">285 (29.1)</td>
<td align="center" valign="top">555 (30)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Hyperlipemia, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">6,169 (55.5)</td>
<td align="center" valign="top">3,053 (51.2)</td>
<td align="center" valign="top">1,435 (61.9)</td>
<td align="center" valign="top">556 (56.8)</td>
<td align="center" valign="top">1,125 (60.7)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">4,948 (44.5)</td>
<td align="center" valign="top">2,914 (48.8)</td>
<td align="center" valign="top">883 (38.1)</td>
<td align="center" valign="top">423 (43.2)</td>
<td align="center" valign="top">728 (39.3)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">PD, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">10,827 (97.4)</td>
<td align="center" valign="top">5,861 (98.2)</td>
<td align="center" valign="top">2,226 (96)</td>
<td align="center" valign="top">953 (97.3)</td>
<td align="center" valign="top">1787 (96.4)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">290 (2.6)</td>
<td align="center" valign="top">106 (1.8)</td>
<td align="center" valign="top">92 (4)</td>
<td align="center" valign="top">26 (2.7)</td>
<td align="center" valign="top">66 (3.6)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OA, osteoarthritis; RA, rheumatic arthritis; BMI, body mass index; PD, Parkinson&#x2019;s disease.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<title>Association between arthritis and PD</title>
<p>In the overall study population of PD patients, univariate regression analysis indicated that PD was positively associated with race, marital, smoking, stroke, osteoarthritis and other arthritis-related factors (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) (<xref ref-type="table" rid="tab2">Table 2</xref>). Specifically, Non-Hispanic White exhibited a relatively lower risk of PD compared to Mexican American. Furthermore, the prevalence of PD was lower among married individuals compared to their unmarried counterparts (OR: 1.32, 95% CI: 1.05 to 1.67). Patients with a history of stroke demonstrated a significantly higher risk of developing PD. Compared to patients without arthritis, those with OA and other forms of arthritis exhibited a higher likelihood of developing PD, with OR and 95% CI of 2.29 (1.72&#x2013;3.03) and 2.04 (1.5&#x2013;2.79), respectively. Our study identified a statistically significant positive correlation between the presence of OA and other types of arthritis and the incidence of PD (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Univariate arthritis analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">OR_95CI</th>
<th align="center" valign="top"><italic>p</italic>_value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age:&#x003C;64 vs. &#x003E;64</td>
<td align="center" valign="top">1.21 (0.95&#x2009;~&#x2009;1.52)</td>
<td align="center" valign="top">0.117</td>
</tr>
<tr>
<td align="left" valign="top">Sex: Female vs. Male</td>
<td align="center" valign="top">1.2 (0.95&#x2009;~&#x2009;1.52)</td>
<td align="center" valign="top">0.136</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Race: ref.&#x2009;=&#x2009;Mexican American</td>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">1.25 (0.7&#x2009;~&#x2009;2.23)</td>
<td align="center" valign="top">0.443</td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">2.05 (1.3&#x2009;~&#x2009;3.23)</td>
<td align="center" valign="top">
<bold>0.002&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">0.74 (0.44&#x2009;~&#x2009;1.27)</td>
<td align="center" valign="top">0.276</td>
</tr>
<tr>
<td align="left" valign="top">Other Race</td>
<td align="center" valign="top">0.69 (0.37&#x2009;~&#x2009;1.29)</td>
<td align="center" valign="top">0.249</td>
</tr>
<tr>
<td align="left" valign="top">Marital: Married vs. Unmarried</td>
<td align="center" valign="top">1.32 (1.05&#x2009;~&#x2009;1.67)</td>
<td align="center" valign="top">
<bold>0.019&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Education: ref.&#x2009;&#x2264;&#x2009;9</td>
</tr>
<tr>
<td align="left" valign="top">9&#x2013;12</td>
<td align="center" valign="top">1.09 (0.72&#x2009;~&#x2009;1.66)</td>
<td align="center" valign="top">0.671</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;12</td>
<td align="center" valign="top">1.04 (0.69&#x2009;~&#x2009;1.55)</td>
<td align="center" valign="top">0.857</td>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td align="center" valign="top">0.99 (0.98&#x2009;~&#x2009;1.01)</td>
<td align="center" valign="top">0.403</td>
</tr>
<tr>
<td align="left" valign="top">Smoking: No vs. Yes</td>
<td align="center" valign="top">0.75 (0.59&#x2009;~&#x2009;0.95)</td>
<td align="center" valign="top">
<bold>0.016&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Heart Disease: No vs. Yes</td>
<td align="center" valign="top">0.78 (0.53&#x2009;~&#x2009;1.15)</td>
<td align="center" valign="top">0.208</td>
</tr>
<tr>
<td align="left" valign="top">Stroke: No vs. Yes</td>
<td align="center" valign="top">0.52 (0.36&#x2009;~&#x2009;0.73)</td>
<td align="center" valign="top">
<bold>&#x003C;0.001&#x002A;&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cancer: No vs. Yes</td>
<td align="center" valign="top">0.94 (0.7&#x2009;~&#x2009;1.28)</td>
<td align="center" valign="top">0.713</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Diabetes: ref.&#x2009;=&#x2009;No</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.03 (0.79&#x2009;~&#x2009;1.35)</td>
<td align="center" valign="top">0.826</td>
</tr>
<tr>
<td align="left" valign="top">Border</td>
<td align="center" valign="top">0.61 (0.28&#x2009;~&#x2009;1.33)</td>
<td align="center" valign="top">0.212</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension: No vs. Yes</td>
<td align="center" valign="top">0.99 (0.78&#x2009;~&#x2009;1.27)</td>
<td align="center" valign="top">0.958</td>
</tr>
<tr>
<td align="left" valign="top">Hyperlipemia: No vs. Yes</td>
<td align="center" valign="top">1.1 (0.87&#x2009;~&#x2009;1.39)</td>
<td align="center" valign="top">0.407</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Arthritis: ref.&#x2009;=&#x2009;Non-arthritis</td>
</tr>
<tr>
<td align="left" valign="top">OA</td>
<td align="center" valign="top">2.29 (1.72&#x2009;~&#x2009;3.03)</td>
<td align="center" valign="top">
<bold>&#x003C;0.001&#x002A;&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">RA</td>
<td align="center" valign="top">1.51 (0.98&#x2009;~&#x2009;2.33)</td>
<td align="center" valign="top">0.064</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">2.04 (1.5&#x2009;~&#x2009;2.79)</td>
<td align="center" valign="top">
<bold>&#x003C;0.001&#x002A;&#x002A;</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR, odds ratio; CI, confdence interval.</p>
<p>&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Multivariable logistics regression analysis</title>
<p><xref ref-type="table" rid="tab3">Table 3</xref> displays the logistic regression findings concerning the relationship between arthritis and PD. The unadjusted model (Model I) indicated an elevated risk of osteoarthritis and other forms of arthritis in relation to PD [2.29 (1.72&#x2013;3.03), 2.04 (1.5&#x2013;2.79)]. Upon adjusting for age, sex, race, marital, education, and BMI (Model II), the association between PD and osteoarthritis as well as other arthritis remained significant [1.94 (1.44&#x2013;2.61), 1.96 (1.42&#x2013;2.69)]. Further inclusion of smoking in the model (Model III) did not alter the significant relationship between PD and osteoarthritis or other arthritis [1.91 (1.42&#x2013;2.57), 1.93 (1.4&#x2013;2.66)]. Finally, after accounting for additional chronic conditions like diabetes, hypertension, hyperlipidemia, heart disease, stroke, and cancer (Model IV), the notable association between PD and osteoarthritis and other arthritis persisted [1.95 (1.44&#x2013;2.62), 1.96 (1.42&#x2013;2.71)]. These results suggest a robust and stable correlation between the occurrence of osteoarthritis and Parkinson&#x2019;s disease, with a significant statistical significance (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Multivariate logistic regression analysis of the correlation between arthritis and PD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th align="center" valign="top">Model I</th>
<th align="center" valign="top">Model II</th>
<th align="center" valign="top">Model III</th>
<th align="center" valign="top">Model IV</th>
</tr>
<tr>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top">OR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Non-arthritis</td>
<td align="center" valign="top">1 (Ref)</td>
<td align="center" valign="top">1 (Ref)</td>
<td align="center" valign="top">1 (Ref)</td>
<td align="center" valign="top">1 (Ref)</td>
</tr>
<tr>
<td align="left" valign="top">OA</td>
<td align="center" valign="top">2.29 (1.72&#x2009;~&#x2009;3.03)&#x002A;&#x002A;</td>
<td align="center" valign="top">1.94 (1.44&#x2009;~&#x2009;2.61)&#x002A;&#x002A;</td>
<td align="center" valign="top">1.91 (1.42&#x2009;~&#x2009;2.57)&#x002A;&#x002A;</td>
<td align="center" valign="top">1.95 (1.44&#x2009;~&#x2009;2.62)&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">RA</td>
<td align="center" valign="top">1.51 (0.98&#x2009;~&#x2009;2.33)</td>
<td align="center" valign="top">1.54 (0.99&#x2009;~&#x2009;2.39)</td>
<td align="center" valign="top">1.52 (0.98&#x2009;~&#x2009;2.36)</td>
<td align="center" valign="top">1.5 (0.96&#x2009;~&#x2009;2.34)</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">2.04 (1.5&#x2009;~&#x2009;2.79)&#x002A;&#x002A;</td>
<td align="center" valign="top">1.96 (1.42&#x2009;~&#x2009;2.69)&#x002A;&#x002A;</td>
<td align="center" valign="top">1.93 (1.4&#x2009;~&#x2009;2.66)&#x002A;&#x002A;</td>
<td align="center" valign="top">1.96 (1.42&#x2009;~&#x2009;2.71)&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">P for trend</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model I: no adjusted; Model II: adjusted for age&#x2009;+&#x2009;sex&#x2009;+&#x2009;race&#x2009;+&#x2009;marital&#x2009;+&#x2009;education&#x2009;+&#x2009;BMI; Model III: Model II+ smoking; Model IV: Model III&#x2009;+&#x2009;diabetes&#x2009;+&#x2009;hypertension&#x2009;+&#x2009;hyperlipemia&#x2009;+&#x2009;heart disease&#x2009;+&#x2009;stroke&#x2009;+&#x2009;cancer. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>Subgroup analyses of factors influencing the association between arthritis and PD</title>
<p>The subgroup analysis of the data is depicted in <xref ref-type="fig" rid="fig1">Figure 1</xref>. Stratified analyses were conducted to investigate if the association between various types of arthritis and Parkinson&#x2019;s disease differed based on age, sex, race, education, and BMI. Furthermore, the results were validated for all subgroups except for sex, showing consistent findings across all subgroups without any interactions (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The findings indicated a significant correlation between osteoarthritis and the risk of developing Parkinson&#x2019;s disease, which was statistically significant (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Effect size of osteoarthritis on the presence of PD in age, sex, race, education, BMI subgroup.</p>
</caption>
<graphic xlink:href="fnins-18-1393740-g002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<title>Discussion</title>
<p>Arthritis, a common disease among the elderly and a trigger for systemic inflammation, has an unclear role in PD. Therefore, it is crucial to investigate the potential correlation between PD and OA from both clinical and social perspectives. Our study examining the relationship between OA and PD revealed a positive association between PD and OA, as well as other forms of arthritis, but not with RA. Through multivariate logistic regression analysis adjusting for confounding factors, we observed a positive correlation between PD and OA risk, while no association was found between RA and PD. Subgroup analysis further supported the stability of these findings.</p>
<p>In this cross-sectional study, we found a clear association between OA and a significant increase in the occurrence of PD. Individuals with OA had a 95 percent higher risk of PD compared to those without arthritis, while no association was observed between RA and PD. This contrasts with findings from previous studies (<xref ref-type="bibr" rid="ref21">Liu et al., 2023</xref>; <xref ref-type="bibr" rid="ref38">Zeng et al., 2024</xref>). The discrepancy between our study and others may be attributed to differences in sample populations. Furthermore, our focus on OA during data cleaning may have influenced the results on RA and PD, making the association with RA inconclusive. Our study also revealed a significant correlation between other types of arthritis, such as psoriatic arthritis, and PD. However, due to the limited sample size, further investigation on these types of arthritis was not feasible. Moving forward, larger sample sizes are necessary to explore the relationship between other forms of arthritis and PD.</p>
<p>Arthritis is a degenerative joint disease encompassing OA, RA and other forms. OA is the most prevalent joint disease, characterized by an increase in both systemic and local inflammatory cytokines that contribute to cartilage degradation and impact OA progression (<xref ref-type="bibr" rid="ref24">Motta et al., 2023</xref>). OA is characterized by cartilage degeneration, synovitis, and changes in subchondral bone, triggering a peripheral inflammatory response. RA, a chronic autoimmune disease, is marked by persistent inflammation in synovial joints. The damage to articular cartilage involves various immune cells like NK cells, B lymphocytes, T lymphocytes, among others (<xref ref-type="bibr" rid="ref5">de Lange-Brokaar et al., 2012</xref>; <xref ref-type="bibr" rid="ref18">Li et al., 2022</xref>). Arthritis, a non-specific inflammatory condition, not only inflicts irreversible harm on the synovium but also may contribute to other immune-related disorders like inflammatory bowel disease, systemic lupus erythematosus, diabetes, Graves&#x2019; disease, and more (<xref ref-type="bibr" rid="ref30">Tagoe et al., 2012</xref>; <xref ref-type="bibr" rid="ref14">Houser and Tansey, 2017</xref>; <xref ref-type="bibr" rid="ref36">Veronese et al., 2019</xref>). The dysregulation of immune homeostasis in patients with arthritis results in an increase in peripheral pro-inflammatory factors and a decrease in anti-inflammatory factors. This imbalance also impacts inflammatory factors and neurotransmitters, which can further enhance the interaction between immune cells and nerves through mutual regulation (<xref ref-type="bibr" rid="ref11">Gao et al., 2022</xref>). Research indicates that inappropriate peripheral inflammation may trigger a neuroinflammatory response, leading to the disruption of the blood&#x2013;brain barrier by inflammatory stimuli, potentially contributing to the development of central nervous system disorders (<xref ref-type="bibr" rid="ref15">Huang et al., 2021</xref>). Moreover, cytokines released by peripheral inflammatory mediators involved in chronic inflammation can activate glial cells, exacerbating neuroinflammation and directly influencing the function of the blood&#x2013;brain barrier as well as neurodegenerative processes (<xref ref-type="bibr" rid="ref29">Sonar and Lal, 2018</xref>). Neuroinflammation is a crucial mechanism in the pathogenesis of PD, serving as both a key factor in disease onset and progression (<xref ref-type="bibr" rid="ref39">Zhang et al., 2023</xref>). Inflammatory processes can lead to the degeneration of dopamine neurons, which significantly impacts individuals with PD (<xref ref-type="bibr" rid="ref22">L&#x00FC;cking et al., 2000</xref>; <xref ref-type="bibr" rid="ref25">Perry, 2004</xref>). Factors such as <italic>&#x03B1;</italic>-syn misfolding, immune gene polymorphisms, and mitochondrial dysfunction contribute to the development of neuroinflammation in PD patients (<xref ref-type="bibr" rid="ref16">Isik et al., 2023</xref>). Autopsy studies have confirmed the involvement of microglia-mediated neuroinflammation in the pathogenesis of PD (<xref ref-type="bibr" rid="ref23">McGeer et al., 1988</xref>). Natural killer cells present in PD patients have been found to effectively degrade <italic>&#x03B1;</italic>-syn aggregates. Depletion of natural killer cells in <italic>&#x03B1;</italic>-syn mouse models has been shown to worsen <italic>&#x03B1;</italic>-syn aggregation and promote dopamine neuron degeneration, suggesting a potential link between peripheral inflammation and PD development (<xref ref-type="bibr" rid="ref6">Earls et al., 2020</xref>). In addition, elevated levels of systemic inflammatory cytokines have been identified as playing a significant role in the development of PD (<xref ref-type="bibr" rid="ref33">Tansey et al., 2022</xref>). C-reactive protein (CRP), a key inflammatory marker for arthritis, has been found to have a positive correlation with the prevalence of PD in studies (<xref ref-type="bibr" rid="ref26">Qu et al., 2023</xref>).</p>
<p>Research indicates that the increase of TNF-<italic>&#x03B1;</italic> and IL-6 in the bloodstream is also positively associated with PD, suggesting that the elevation of peripheral pro-inflammatory factors may be crucial in the pathogenesis of PD (<xref ref-type="bibr" rid="ref4">Chen et al., 2008</xref>).</p>
<p>While the root cause of the differing associations between osteoarthritis and Parkinson&#x2019;s disease remains unclear, this study possesses several strengths. Firstly, a significant advantage lies in the utilization of a large and representative sample of Americans gathered through continuous NHANES cycles, enabling the examination of the relationship between osteoarthritis, other forms of arthritis, and PD. Additionally, the potential neuroprotective role of smoking in PD, as indicated by previous studies (<xref ref-type="bibr" rid="ref10">Gale and Martyn, 2003</xref>; <xref ref-type="bibr" rid="ref1">Ascherio and Schwarzschild, 2016</xref>), was considered through covariate adjustments, with smoking identified as a crucial variable. Nonetheless, it is important to acknowledge the limitations of our study. Data constraints may have led to missing information, potentially stemming from a lack of awareness or delayed medical attention-seeking. Furthermore, the diagnosis of PD in individuals was primarily based on medication usage, raising concerns about potential biases from patients with other chronic illnesses or mental disorders also taking anti-Parkinson&#x2019;s drugs. As a cross-sectional study, causal relationships cannot be definitively established, and despite adjustments for confounding variables, residual confounding remains a possibility. Thus, a comprehensive controlled trial is warranted. Moreover, the reliance on NHANES data restricted the ability to explore correlations between various types of arthritis and PD individually due to database limitations, necessitating further investigation to validate these findings.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<title>Conclusion</title>
<p>PD patients were positively correlated with OA. Among people with OA, there was a 95% increased risk of PD compared to people without arthritis. Therefore, when treating OA, attention should be paid to the increased risk of PD. In the meantime, further studies are needed to explore the link between OA and PD patients.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: <ext-link xlink:href="https://www.cdc.gov/nchs/nhanes/index.htm" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes/index.htm</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>The studies involving humans were approved by National Center for Health Statistics Ethics Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>YL: Resources, Methodology, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. XZ: Methodology, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. CC: Writing &#x2013; original draft, Methodology. XL: Writing &#x2013; original draft, Formal analysis. TP: Writing &#x2013; original draft, Resources. ZL: Writing &#x2013; original draft, Resources. DW: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. XC: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Science and Technology Project of Jilin Provincial Department (20220204006YY) and Development and Reform Commission of Jilin Provincial (2022C041-2).</p>
</sec>
<ack>
<p>The authors thanks the staff and the participants of the NHANES study for their valuable contributions.</p>
</ack>
<sec sec-type="COI-statement" id="sec23">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec24">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ascherio</surname> <given-names>A.</given-names></name> <name><surname>Schwarzschild</surname> <given-names>M. A.</given-names></name></person-group> (<year>2016</year>). <article-title>The epidemiology of Parkinson&#x2019;s disease: risk factors and prevention</article-title>. <source>Lancet Neurol.</source> <volume>15</volume>, <fpage>1257</fpage>&#x2013;<lpage>1272</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1474-4422(16)30230-7</pub-id></citation></ref>
<ref id="ref2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bledsoe</surname> <given-names>I. O.</given-names></name> <name><surname>Yu</surname> <given-names>J.</given-names></name> <name><surname>Shukla</surname> <given-names>A. W.</given-names></name></person-group> (<year>2023</year>). <article-title>Functional impairment preceding Parkinson disease diagnosis-What&#x2019;s in a Prodrome?</article-title> <source>JAMA Neurol.</source> <volume>80</volume>, <fpage>130</fpage>&#x2013;<lpage>132</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jamaneurol.2022.4157</pub-id>, PMID: <pub-id pub-id-type="pmid">36534382</pub-id></citation></ref>
<ref id="ref3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Casper</surname> <given-names>D.</given-names></name> <name><surname>Yaparpalvi</surname> <given-names>U.</given-names></name> <name><surname>Rempel</surname> <given-names>N.</given-names></name> <name><surname>Werner</surname> <given-names>P.</given-names></name></person-group> (<year>2000</year>). <article-title>Ibuprofen protects dopaminergic neurons against glutamate toxicity in vitro</article-title>. <source>Neurosci. Lett.</source> <volume>289</volume>, <fpage>201</fpage>&#x2013;<lpage>204</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0304-3940(00)01294-5</pub-id>, PMID: <pub-id pub-id-type="pmid">10961664</pub-id></citation></ref>
<ref id="ref4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>H.</given-names></name> <name><surname>O&#x2019;Reilly</surname> <given-names>E. J.</given-names></name> <name><surname>Schwarzschild</surname> <given-names>M. A.</given-names></name> <name><surname>Ascherio</surname> <given-names>A.</given-names></name></person-group> (<year>2008</year>). <article-title>Peripheral inflammatory biomarkers and risk of Parkinson&#x2019;s disease</article-title>. <source>Am. J. Epidemiol.</source> <volume>167</volume>, <fpage>90</fpage>&#x2013;<lpage>95</lpage>. doi: <pub-id pub-id-type="doi">10.1093/aje/kwm260</pub-id></citation></ref>
<ref id="ref5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Lange-Brokaar</surname> <given-names>B. J. E.</given-names></name> <name><surname>Ioan-Facsinay</surname> <given-names>A.</given-names></name> <name><surname>van Osch</surname> <given-names>G. J. V. M.</given-names></name> <name><surname>Zuurmond</surname> <given-names>A.-M.</given-names></name> <name><surname>Schoones</surname> <given-names>J.</given-names></name> <name><surname>Toes</surname> <given-names>R. E. M.</given-names></name> <etal/></person-group>. (<year>2012</year>). <article-title>Synovial inflammation, immune cells and their cytokines in osteoarthritis: a review</article-title>. <source>Osteoarthr. Cartil.</source> <volume>20</volume>, <fpage>1484</fpage>&#x2013;<lpage>1499</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.joca.2012.08.027</pub-id></citation></ref>
<ref id="ref6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Earls</surname> <given-names>R. H.</given-names></name> <name><surname>Menees</surname> <given-names>K. B.</given-names></name> <name><surname>Chung</surname> <given-names>J.</given-names></name> <name><surname>Gutekunst</surname> <given-names>C.-A.</given-names></name> <name><surname>Lee</surname> <given-names>H. J.</given-names></name> <name><surname>Hazim</surname> <given-names>M. G.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>NK cells clear <italic>&#x03B1;</italic>-synuclein and the depletion of NK cells exacerbates synuclein pathology in a mouse model of <italic>&#x03B1;</italic>-synucleinopathy</article-title>. <source>Proc. Natl. Acad. Sci. USA</source> <volume>117</volume>, <fpage>1762</fpage>&#x2013;<lpage>1771</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1909110117</pub-id>, PMID: <pub-id pub-id-type="pmid">31900358</pub-id></citation></ref>
<ref id="ref7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fan</surname> <given-names>Z.</given-names></name> <name><surname>Pan</surname> <given-names>Y.-T.</given-names></name> <name><surname>Zhang</surname> <given-names>Z.-Y.</given-names></name> <name><surname>Yang</surname> <given-names>H.</given-names></name> <name><surname>Yu</surname> <given-names>S.-Y.</given-names></name> <name><surname>Zheng</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Systemic activation of NLRP3 inflammasome and plasma <italic>&#x03B1;</italic>-synuclein levels are correlated with motor severity and progression in Parkinson&#x2019;s disease</article-title>. <source>J. Neuroinflammation</source> <volume>17</volume>:<fpage>11</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12974-019-1670-6</pub-id>, PMID: <pub-id pub-id-type="pmid">31915018</pub-id></citation></ref>
<ref id="ref8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fardell</surname> <given-names>C.</given-names></name> <name><surname>Schi&#x00F6;ler</surname> <given-names>L.</given-names></name> <name><surname>Nissbrandt</surname> <given-names>H.</given-names></name> <name><surname>Tor&#x00E9;n</surname> <given-names>K.</given-names></name> <name><surname>&#x00C5;berg</surname> <given-names>M.</given-names></name></person-group> (<year>2021</year>). <article-title>The erythrocyte sedimentation rate in male adolescents and subsequent risk of Parkinson&#x2019;s disease: an observational study</article-title>. <source>J. Neurol.</source> <volume>268</volume>, <fpage>1508</fpage>&#x2013;<lpage>1516</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00415-020-10324-5</pub-id>, PMID: <pub-id pub-id-type="pmid">33277665</pub-id></citation></ref>
<ref id="ref9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frangos</surname> <given-names>T.</given-names></name> <name><surname>Maret</surname> <given-names>W.</given-names></name></person-group> (<year>2020</year>). <article-title>Zinc and cadmium in the Aetiology and pathogenesis of osteoarthritis and rheumatoid arthritis</article-title>. <source>Nutrients</source> <volume>13</volume>:<fpage>53</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu13010053</pub-id>, PMID: <pub-id pub-id-type="pmid">33375344</pub-id></citation></ref>
<ref id="ref10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gale</surname> <given-names>C.</given-names></name> <name><surname>Martyn</surname> <given-names>C.</given-names></name></person-group> (<year>2003</year>). <article-title>Tobacco, coffee, and Parkinson&#x2019;s disease</article-title>. <source>BMJ</source> <volume>326</volume>, <fpage>561</fpage>&#x2013;<lpage>562</lpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.326.7389.561</pub-id>, PMID: <pub-id pub-id-type="pmid">12637374</pub-id></citation></ref>
<ref id="ref11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname> <given-names>D.</given-names></name> <name><surname>Gao</surname> <given-names>X.</given-names></name> <name><surname>Yang</surname> <given-names>F.</given-names></name> <name><surname>Wang</surname> <given-names>Q.</given-names></name></person-group> (<year>2022</year>). <article-title>Neuroimmune crosstalk in rheumatoid arthritis</article-title>. <source>Int. J. Mol. Sci.</source> <volume>23</volume>:<fpage>8158</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms23158158</pub-id>, PMID: <pub-id pub-id-type="pmid">35897734</pub-id></citation></ref>
<ref id="ref12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hirtz</surname> <given-names>D.</given-names></name> <name><surname>Thurman</surname> <given-names>D. J.</given-names></name> <name><surname>Gwinn-Hardy</surname> <given-names>K.</given-names></name> <name><surname>Mohamed</surname> <given-names>M.</given-names></name> <name><surname>Chaudhuri</surname> <given-names>A. R.</given-names></name> <name><surname>Zalutsky</surname> <given-names>R.</given-names></name></person-group> (<year>2007</year>). <article-title>How common are the &#x201C;common&#x201D; neurologic disorders?</article-title> <source>Neurology</source> <volume>68</volume>, <fpage>326</fpage>&#x2013;<lpage>337</lpage>. doi: <pub-id pub-id-type="doi">10.1212/01.wnl.0000252807.38124.a3</pub-id></citation></ref>
<ref id="ref13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hn</surname> <given-names>D.</given-names></name> <name><surname>Vb</surname> <given-names>K.</given-names></name></person-group> (<year>2015</year>). <article-title>Inflammatory biomarkers in osteoarthritis</article-title>. <source>Osteoarthr. Cartil.</source> <volume>23</volume>, <fpage>1890</fpage>&#x2013;<lpage>1896</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.joca.2015.02.009</pub-id>, PMID: <pub-id pub-id-type="pmid">26521734</pub-id></citation></ref>
<ref id="ref14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Houser</surname> <given-names>M. C.</given-names></name> <name><surname>Tansey</surname> <given-names>M. G.</given-names></name></person-group> (<year>2017</year>). <article-title>The gut-brain axis: is intestinal inflammation a silent driver of Parkinson&#x2019;s disease pathogenesis?</article-title> <source>NPJ Park. Dis.</source> <volume>3</volume>:<fpage>3</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41531-016-0002-0</pub-id>, PMID: <pub-id pub-id-type="pmid">28649603</pub-id></citation></ref>
<ref id="ref15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>X.</given-names></name> <name><surname>Hussain</surname> <given-names>B.</given-names></name> <name><surname>Chang</surname> <given-names>J.</given-names></name></person-group> (<year>2021</year>). <article-title>Peripheral inflammation and blood-brain barrier disruption: effects and mechanisms</article-title>. <source>CNS Neurosci. Ther.</source> <volume>27</volume>, <fpage>36</fpage>&#x2013;<lpage>47</lpage>. doi: <pub-id pub-id-type="doi">10.1111/cns.13569</pub-id>, PMID: <pub-id pub-id-type="pmid">33381913</pub-id></citation></ref>
<ref id="ref16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Isik</surname> <given-names>S.</given-names></name> <name><surname>Yeman Kiyak</surname> <given-names>B.</given-names></name> <name><surname>Akbayir</surname> <given-names>R.</given-names></name> <name><surname>Seyhali</surname> <given-names>R.</given-names></name> <name><surname>Arpaci</surname> <given-names>T.</given-names></name></person-group> (<year>2023</year>). <article-title>Microglia mediated Neuroinflammation in Parkinson&#x2019;s disease</article-title>. <source>Cells</source> <volume>12</volume>:<fpage>1012</fpage>. doi: <pub-id pub-id-type="doi">10.3390/cells12071012</pub-id>, PMID: <pub-id pub-id-type="pmid">37048085</pub-id></citation></ref>
<ref id="ref17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jankovic</surname> <given-names>J.</given-names></name> <name><surname>Tan</surname> <given-names>E. K.</given-names></name></person-group> (<year>2020</year>). <article-title>Parkinson&#x2019;s disease: etiopathogenesis and treatment</article-title>. <source>J. Neurol. Neurosurg. Psychiatry</source> <volume>91</volume>, <fpage>795</fpage>&#x2013;<lpage>808</lpage>. doi: <pub-id pub-id-type="doi">10.1136/jnnp-2019-322338</pub-id></citation></ref>
<ref id="ref18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Yin</surname> <given-names>H.</given-names></name> <name><surname>Yan</surname> <given-names>Z.</given-names></name> <name><surname>Li</surname> <given-names>H.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>The immune microenvironment in cartilage injury and repair</article-title>. <source>Acta Biomater.</source> <volume>140</volume>, <fpage>23</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.actbio.2021.12.006</pub-id>, PMID: <pub-id pub-id-type="pmid">34896634</pub-id></citation></ref>
<ref id="ref19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>T.-W.</given-names></name> <name><surname>Chen</surname> <given-names>C.-M.</given-names></name> <name><surname>Chang</surname> <given-names>K.-H.</given-names></name></person-group> (<year>2022</year>). <article-title>Biomarker of Neuroinflammation in Parkinson&#x2019;s disease</article-title>. <source>Int. J. Mol. Sci.</source> <volume>23</volume>:<fpage>4148</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms23084148</pub-id>, PMID: <pub-id pub-id-type="pmid">35456966</pub-id></citation></ref>
<ref id="ref20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>S.-Y.</given-names></name> <name><surname>Qiao</surname> <given-names>H.-W.</given-names></name> <name><surname>Song</surname> <given-names>T.-B.</given-names></name> <name><surname>Liu</surname> <given-names>X.-L.</given-names></name> <name><surname>Yao</surname> <given-names>Y.-X.</given-names></name> <name><surname>Zhao</surname> <given-names>C.-S.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Brain microglia activation and peripheral adaptive immunity in Parkinson&#x2019;s disease: a multimodal PET study</article-title>. <source>J. Neuroinflammation</source> <volume>19</volume>:<fpage>209</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12974-022-02574-z</pub-id>, PMID: <pub-id pub-id-type="pmid">36038917</pub-id></citation></ref>
<ref id="ref21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>L.</given-names></name> <name><surname>Shen</surname> <given-names>Q.</given-names></name> <name><surname>Bao</surname> <given-names>Y.</given-names></name> <name><surname>Xu</surname> <given-names>F.</given-names></name> <name><surname>Zhang</surname> <given-names>D.</given-names></name> <name><surname>Huang</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Association between dietary intake and risk of Parkinson&#x2019;s disease: cross-sectional analysis of survey data from NHANES 2007-2016</article-title>. <source>Front. Nutr.</source> <volume>10</volume>:<fpage>1278128</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnut.2023.1278128</pub-id>, PMID: <pub-id pub-id-type="pmid">38192644</pub-id></citation></ref>
<ref id="ref22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>L&#x00FC;cking</surname> <given-names>C. B.</given-names></name> <name><surname>D&#x00FC;rr</surname> <given-names>A.</given-names></name> <name><surname>Bonifati</surname> <given-names>V.</given-names></name> <name><surname>Vaughan</surname> <given-names>J.</given-names></name> <name><surname>De Michele</surname> <given-names>G.</given-names></name> <name><surname>Gasser</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2000</year>). <article-title>Association between early-onset Parkinson&#x2019;s disease and mutations in the parkin gene</article-title>. <source>N. Engl. J. Med.</source> <volume>342</volume>, <fpage>1560</fpage>&#x2013;<lpage>1567</lpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJM200005253422103</pub-id></citation></ref>
<ref id="ref23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McGeer</surname> <given-names>P. L.</given-names></name> <name><surname>Itagaki</surname> <given-names>S.</given-names></name> <name><surname>Boyes</surname> <given-names>B. E.</given-names></name> <name><surname>McGeer</surname> <given-names>E. G.</given-names></name></person-group> (<year>1988</year>). <article-title>Reactive microglia are positive for HLA-DR in the substantia nigra of Parkinson&#x2019;s and Alzheimer&#x2019;s disease brains</article-title>. <source>Neurology</source> <volume>38</volume>, <fpage>1285</fpage>&#x2013;<lpage>1291</lpage>. doi: <pub-id pub-id-type="doi">10.1212/wnl.38.8.1285</pub-id>, PMID: <pub-id pub-id-type="pmid">3399080</pub-id></citation></ref>
<ref id="ref24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Motta</surname> <given-names>F.</given-names></name> <name><surname>Barone</surname> <given-names>E.</given-names></name> <name><surname>Sica</surname> <given-names>A.</given-names></name> <name><surname>Selmi</surname> <given-names>C.</given-names></name></person-group> (<year>2023</year>). <article-title>Inflammaging and osteoarthritis</article-title>. <source>Clin. Rev. Allergy Immunol.</source> <volume>64</volume>, <fpage>222</fpage>&#x2013;<lpage>238</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12016-022-08941-1</pub-id>, PMID: <pub-id pub-id-type="pmid">35716253</pub-id></citation></ref>
<ref id="ref25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Perry</surname> <given-names>V. H.</given-names></name></person-group> (<year>2004</year>). <article-title>The influence of systemic inflammation on inflammation in the brain: implications for chronic neurodegenerative disease</article-title>. <source>Brain Behav. Immun.</source> <volume>18</volume>, <fpage>407</fpage>&#x2013;<lpage>413</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbi.2004.01.004</pub-id>, PMID: <pub-id pub-id-type="pmid">15265532</pub-id></citation></ref>
<ref id="ref26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Qin</surname> <given-names>Q.</given-names></name> <name><surname>Wang</surname> <given-names>D.</given-names></name> <name><surname>Zhao</surname> <given-names>J.</given-names></name> <name><surname>An</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>A systematic review and meta-analysis of inflammatory biomarkers in Parkinson&#x2019;s disease</article-title>. <source>NPJ Park. Dis.</source> <volume>9</volume>:<fpage>18</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41531-023-00449-5</pub-id>, PMID: <pub-id pub-id-type="pmid">36739284</pub-id></citation></ref>
<ref id="ref27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Savica</surname> <given-names>R.</given-names></name> <name><surname>Grossardt</surname> <given-names>B. R.</given-names></name> <name><surname>Bower</surname> <given-names>J. H.</given-names></name> <name><surname>Ahlskog</surname> <given-names>J. E.</given-names></name> <name><surname>Rocca</surname> <given-names>W. A.</given-names></name></person-group> (<year>2016</year>). <article-title>Time trends in the incidence of Parkinson disease</article-title>. <source>JAMA Neurol.</source> <volume>73</volume>, <fpage>981</fpage>&#x2013;<lpage>989</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jamaneurol.2016.0947</pub-id>, PMID: <pub-id pub-id-type="pmid">27323276</pub-id></citation></ref>
<ref id="ref28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schiess</surname> <given-names>M.</given-names></name></person-group> (<year>2003</year>). <article-title>Nonsteroidal anti-inflammatory drugs protect against Parkinson neurodegeneration: can an NSAID a day keep Parkinson disease away?</article-title> <source>Arch. Neurol.</source> <volume>60</volume>, <fpage>1043</fpage>&#x2013;<lpage>1044</lpage>. doi: <pub-id pub-id-type="doi">10.1001/archneur.60.8.1043</pub-id></citation></ref>
<ref id="ref29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sonar</surname> <given-names>S. A.</given-names></name> <name><surname>Lal</surname> <given-names>G.</given-names></name></person-group> (<year>2018</year>). <article-title>Blood-brain barrier and its function during inflammation and autoimmunity</article-title>. <source>J. Leukoc. Biol.</source> <volume>103</volume>, <fpage>839</fpage>&#x2013;<lpage>853</lpage>. doi: <pub-id pub-id-type="doi">10.1002/JLB.1RU1117-428R</pub-id></citation></ref>
<ref id="ref30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tagoe</surname> <given-names>C. E.</given-names></name> <name><surname>Zezon</surname> <given-names>A.</given-names></name> <name><surname>Khattri</surname> <given-names>S.</given-names></name></person-group> (<year>2012</year>). <article-title>Rheumatic manifestations of autoimmune thyroid disease: the other autoimmune disease</article-title>. <source>J. Rheumatol.</source> <volume>39</volume>, <fpage>1125</fpage>&#x2013;<lpage>1129</lpage>. doi: <pub-id pub-id-type="doi">10.3899/jrheum.120022</pub-id>, PMID: <pub-id pub-id-type="pmid">22505695</pub-id></citation></ref>
<ref id="ref31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan</surname> <given-names>E.-K.</given-names></name> <name><surname>Chao</surname> <given-names>Y.-X.</given-names></name> <name><surname>West</surname> <given-names>A.</given-names></name> <name><surname>Chan</surname> <given-names>L.-L.</given-names></name> <name><surname>Poewe</surname> <given-names>W.</given-names></name> <name><surname>Jankovic</surname> <given-names>J.</given-names></name></person-group> (<year>2020</year>). <article-title>Parkinson disease and the immune system - associations, mechanisms and therapeutics</article-title>. <source>Nat. Rev. Neurol.</source> <volume>16</volume>, <fpage>303</fpage>&#x2013;<lpage>318</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41582-020-0344-4</pub-id></citation></ref>
<ref id="ref32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname> <given-names>C.-H.</given-names></name></person-group> (<year>2019</year>). <article-title>Research of pathogenesis and novel therapeutics in arthritis</article-title>. <source>Int. J. Mol. Sci.</source> <volume>20</volume>:<fpage>1646</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms20071646</pub-id>, PMID: <pub-id pub-id-type="pmid">30987068</pub-id></citation></ref>
<ref id="ref33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tansey</surname> <given-names>M. G.</given-names></name> <name><surname>Wallings</surname> <given-names>R. L.</given-names></name> <name><surname>Houser</surname> <given-names>M. C.</given-names></name> <name><surname>Herrick</surname> <given-names>M. K.</given-names></name> <name><surname>Keating</surname> <given-names>C. E.</given-names></name> <name><surname>Joers</surname> <given-names>V.</given-names></name></person-group> (<year>2022</year>). <article-title>Inflammation and immune dysfunction in Parkinson disease</article-title>. <source>Nat. Rev. Immunol.</source> <volume>22</volume>, <fpage>657</fpage>&#x2013;<lpage>673</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41577-022-00684-6</pub-id>, PMID: <pub-id pub-id-type="pmid">35246670</pub-id></citation></ref>
<ref id="ref34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Teema</surname> <given-names>A. M.</given-names></name> <name><surname>Zaitone</surname> <given-names>S. A.</given-names></name> <name><surname>Moustafa</surname> <given-names>Y. M.</given-names></name></person-group> (<year>2016</year>). <article-title>Ibuprofen or piroxicam protects nigral neurons and delays the development of l-dopa induced dyskinesia in rats with experimental parkinsonism: influence on angiogenesis</article-title>. <source>Neuropharmacology</source> <volume>107</volume>, <fpage>432</fpage>&#x2013;<lpage>450</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuropharm.2016.03.034</pub-id></citation></ref>
<ref id="ref35"><citation citation-type="journal"><person-group person-group-type="author"><collab id="coll1">The Lancet</collab></person-group> (<year>2017</year>). <article-title>Managing arthritis in the USA</article-title>. <source>Lancet</source> <volume>389</volume>:<fpage>1076</fpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(17)30765-1</pub-id></citation></ref>
<ref id="ref36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Veronese</surname> <given-names>N.</given-names></name> <name><surname>Cooper</surname> <given-names>C.</given-names></name> <name><surname>Reginster</surname> <given-names>J.-Y.</given-names></name> <name><surname>Hochberg</surname> <given-names>M.</given-names></name> <name><surname>Branco</surname> <given-names>J.</given-names></name> <name><surname>Bruy&#x00E8;re</surname> <given-names>O.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Type 2 diabetes mellitus and osteoarthritis</article-title>. <source>Semin. Arthritis Rheum.</source> <volume>49</volume>, <fpage>9</fpage>&#x2013;<lpage>19</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.semarthrit.2019.01.005</pub-id>, PMID: <pub-id pub-id-type="pmid">30712918</pub-id></citation></ref>
<ref id="ref37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname> <given-names>Z.</given-names></name> <name><surname>Cen</surname> <given-names>Y.</given-names></name> <name><surname>Luo</surname> <given-names>X.</given-names></name></person-group> (<year>2023</year>). <article-title>Association between blood selenium with parkinson&#x2019;s disease in the US (NHANES 2011-2020)</article-title>. <source>Environ. Sci. Pollut. Res. Int.</source> <volume>30</volume>, <fpage>117349</fpage>&#x2013;<lpage>117359</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11356-023-30337-7</pub-id>, PMID: <pub-id pub-id-type="pmid">37864700</pub-id></citation></ref>
<ref id="ref38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname> <given-names>Z.</given-names></name> <name><surname>Cen</surname> <given-names>Y.</given-names></name> <name><surname>Xiong</surname> <given-names>L.</given-names></name> <name><surname>Hong</surname> <given-names>G.</given-names></name> <name><surname>Luo</surname> <given-names>Y.</given-names></name> <name><surname>Luo</surname> <given-names>X.</given-names></name></person-group> (<year>2024</year>). <article-title>Dietary copper intake and risk of Parkinson&#x2019;s disease: a cross-sectional study</article-title>. <source>Biol. Trace Elem. Res.</source> <volume>202</volume>, <fpage>955</fpage>&#x2013;<lpage>964</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12011-023-03750-9</pub-id>, PMID: <pub-id pub-id-type="pmid">37462848</pub-id></citation></ref>
<ref id="ref39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>W.</given-names></name> <name><surname>Xiao</surname> <given-names>D.</given-names></name> <name><surname>Mao</surname> <given-names>Q.</given-names></name> <name><surname>Xia</surname> <given-names>H.</given-names></name></person-group> (<year>2023</year>). <article-title>Role of neuroinflammation in neurodegeneration development</article-title>. <source>Signal Transduct. Target. Ther.</source> <volume>8</volume>:<fpage>267</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41392-023-01486-5</pub-id>, PMID: <pub-id pub-id-type="pmid">37433768</pub-id></citation></ref>
</ref-list>
</back>
</article>