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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2022.1062964</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A nomogram based on iron metabolism can help identify apathy in patients with Parkinson&#x2019;s disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Jiang-ting</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Qu</surname><given-names>Yi</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/1735872/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Gao</surname><given-names>Hong-ling</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/1593131/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Jing-yi</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Qin</surname><given-names>Qi-xiong</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Dan-lei</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Jing-wei</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Mao</surname><given-names>Zhi-juan</given-names></name>
</contrib>
<contrib contrib-type="author"><name><surname>Min</surname><given-names>Zhe</given-names></name>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Xiong</surname><given-names>Yong-jie</given-names></name>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Xue</surname><given-names>Zheng</given-names></name>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1700562/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Xiaoya Gao, Southern Medical University, China</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: Anubhuti Dixit, Amity University, India; Johanna Geritz, University Medical Center Schleswig-Holstein, Germany</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yong-jie Xiong, <email>yongjie.xiong@foxmail.com</email>; Zheng Xue, <email>xuezheng@hust.edu.cn</email></corresp>
<fn id="fn0003" fn-type="other">
<p>This article was submitted to Parkinson&#x2019;s Disease and Aging-related Movement Disorders, a section of the journal Frontiers in Aging Neuroscience</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>14</volume>
<elocation-id>1062964</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Li, Qu, Gao, Li, Qin, Wang, Zhao, Mao, Min, Xiong and Xue.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Li, Qu, Gao, Li, Qin, Wang, Zhao, Mao, Min, Xiong and Xue</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>
<title>Backgrounds</title>
<p>Apathy is common in Parkinson&#x2019;s disease (PD) but difficult to identify. Growing evidence suggests that abnormal iron metabolism is associated with apathy in PD. We aimed to investigate the clinical features and iron metabolism of apathetic patients with PD, and construct a nomogram for predicting apathy in PD.</p>
</sec>
<sec>
<title>Methods</title>
<p>Data of 201 patients with PD were analyzed. Demographic data, Apathy Scale (AS) assessments, and serum iron metabolism parameters were obtained. Spearman correlations were used to assess relationships between AS scores and iron metabolism parameters, separately for male and female patients. Additionally, a nomograph for detecting apathetic patients with PD was built based on the results of logistic regression analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>The serum transferrin (TRF, <italic>p</italic>&#x2006;&#x003C;&#x2006;0.0024) concentration and total iron binding capacity (TIBC, <italic>p</italic>&#x2006;&#x003C;&#x2006;0.0024) were lower in the apathetic group after Bonferroni correction, and they were negatively associated with AS scores in male participants with PD (TRF, <italic>r</italic>&#x2009;=&#x2009;&#x2212;0.27, <italic>p</italic>&#x2009;=&#x2009;0.010; TIBC, <italic>r</italic>&#x2009;=&#x2009;&#x2212;0.259, <italic>p</italic>&#x2009;=&#x2009;0.014). The nomogram was developed by incorporating the following five parameters: age, sex, serum iron concentration, TIBC and Hamilton Depression Rating Scale (HAMD) scores, which showed good discrimination and calibration, with a consistency index of 0.799 (95% confidence interval&#x2009;=&#x2009;0.732&#x2013;0.865).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Abnormal iron metabolism may contribute to apathy in PD, especially among men. TIBC levels in combination with HAMD scores can be effectively used for the prediction of apathetic patients with PD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Parkinson&#x2019;s disease</kwd>
<kwd>apathy</kwd>
<kwd>iron metabolism</kwd>
<kwd>transferrin</kwd>
<kwd>nomogram</kwd>
</kwd-group>
<contract-num rid="cn1">81771376</contract-num>
<contract-sponsor id="cn1">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="49"/>
<page-count count="9"/>
<word-count count="6197"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>1. Introduction</title>
<p>Parkinson&#x2019;s disease (PD) represents a progressive neurodegenerative disorder associated with a spectrum of motor and non-motor symptoms (<xref ref-type="bibr" rid="ref3">Bloem et al., 2021</xref>). Therein, apathy is one of the most common neuropsychiatric disturbances in PD, with a prevalence of nearly 40% (<xref ref-type="bibr" rid="ref10">den Brok et al., 2015</xref>). It can be defined as a syndrome of primary motivational loss, which cannot be attributed to emotional distress, cognitive impairment, or diminished level of consciousness (<xref ref-type="bibr" rid="ref31">Marin, 1991</xref>). Increasing studies have shown that apathy may be a sign of PD worsening as the disease progresses (<xref ref-type="bibr" rid="ref10">den Brok et al., 2015</xref>; <xref ref-type="bibr" rid="ref34">Pagonabarraga et al., 2015</xref>). Apathy can be a predictor of dementia and cognitive decline over time in PD (<xref ref-type="bibr" rid="ref12">Dujardin et al., 2009</xref>), and it is associated with more severe motor symptoms (<xref ref-type="bibr" rid="ref28">Liu et al., 2017</xref>), lower health-related quality of life (<xref ref-type="bibr" rid="ref41">Skorvanek et al., 2013</xref>), and heavier caregiver burden (<xref ref-type="bibr" rid="ref25">Leroi et al., 2012</xref>; <xref ref-type="bibr" rid="ref41">Skorvanek et al., 2013</xref>; <xref ref-type="bibr" rid="ref13">Eglit et al., 2021</xref>).</p>
<p>Abnormal iron metabolism might not only contribute to the pathogenesis of PD (<xref ref-type="bibr" rid="ref11">Dexter et al., 1989</xref>; <xref ref-type="bibr" rid="ref39">Riederer et al., 1989</xref>; <xref ref-type="bibr" rid="ref47">Ward et al., 2014</xref>), but also be involved in apathy (<xref ref-type="bibr" rid="ref46">Wang et al., 2016</xref>). Neuropathological studies have shown the accumulation of iron in the substantia nigra (SN) of patients with PD, and the iron concentrations in the region increase with disease severity (<xref ref-type="bibr" rid="ref11">Dexter et al., 1989</xref>; <xref ref-type="bibr" rid="ref39">Riederer et al., 1989</xref>). High concentrations of iron detected in brain could induce neurotoxicity, leading to the death of dopaminergic neurons (<xref ref-type="bibr" rid="ref47">Ward et al., 2014</xref>). Many studies have indicated that the disturbance of iron metabolism plays a crucial role in non-motor symptoms in PD, including sleep disorder (<xref ref-type="bibr" rid="ref21">Hu et al., 2015</xref>), restless legs syndrome (<xref ref-type="bibr" rid="ref27">Li et al., 2019</xref>), depression and anxiety (<xref ref-type="bibr" rid="ref49">Xu et al., 2018</xref>). However, only a few studies have focused on the relationship between iron metabolism and apathy in PD. A 2016 study found that iron levels in the cerebrospinal fluid (CSF) of patients with PD were positively correlated with the Apathy Scale (AS) scores, and iron overload may be involved in apathy in PD <italic>via</italic> oxidative stress (<xref ref-type="bibr" rid="ref46">Wang et al., 2016</xref>). Therefore, there is an urgent call for similar studies with larger sample sizes to explore the clinical significance of iron in apathy in PD.</p>
<p>Although awareness of the prevalence of apathy and its effect on clinical outcomes for patients have increased recently, the nature of apathy and the subjectivity of this neuropsychiatric symptom make the accurate diagnosis difficult (<xref ref-type="bibr" rid="ref34">Pagonabarraga et al., 2015</xref>). Therefore, we aim to determine the features of apathy and its association with iron metabolism in the Chinese PD population, and construct a simple and useful nomogram to predict the occurrence of apathy in PD.</p>
</sec>
<sec id="sec6" sec-type="materials|methods">
<title>2. Materials and methods</title>
<sec id="sec7">
<title>2.1. Study participants</title>
<p>A total of 201 patients with PD participated in the study. They were inpatients or outpatients at Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology from March 2015 to January 2022. The diagnosis of PD was defined according to the Movement Disorders Society Clinical Diagnostic Criteria (<xref ref-type="bibr" rid="ref38">Postuma et al., 2015</xref>). Exclusion criteria were as follows: (a)patients were diagnosed with atypical Parkinsonian syndrome or secondary Parkinsonism; (b) patients had anemia, or were on treatment for anemia, such as supplemental iron, folate; (c) patients had a history of digestive-tract diseases (gastritis, gastric ulcer, hepatosis and others); and (d) patients had acute or chronic infections, tumor or serious systemic disease. Informed consent was obtained from all patients, and the study was approved by the Medical Ethics Committee of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology.</p>
</sec>
<sec id="sec8">
<title>2.2. Demographic data and blood samples collection</title>
<p>Demographic data, including age, sex, education years, age of onset, disease duration, family history of PD and antiparkinsonian drugs, were collected, and the levodopa-equivalent daily dose (LEDD) was calculated for each participant (<xref ref-type="bibr" rid="ref44">Tomlinson et al., 2010</xref>). Meanwhile, fasting venous blood (5&#x2009;ml) was sampled and centrifuged at 4&#x00B0;C for 10&#x2009;min (3,000&#x2009;r/min). And the supernatant was separated and stored at &#x2212;80&#x00B0;C for detection. Iron metabolism indicators, including serum iron (SI), serum ferritin (SF), transferrin (TRF), unsaturated iron-binding capacity (UIBC), total iron binding capacity (TIBC), transferrin saturation (TSAT) and soluble transferrin receptor (sTfR), were examined using the fully automated analyzer (Roche/Hitachi Cobas c 701/702, Roche Diagnostics GmbH).</p>
</sec>
<sec id="sec9">
<title>2.3. Apathy assessments</title>
<p>The symptom of apathy was evaluated using the AS, which was classified as &#x201C;recommended&#x201D; to assess apathy in PD (<xref ref-type="bibr" rid="ref24">Leentjens et al., 2008</xref>). The AS consists of 14 questions with four response choices to each item, corresponding to 0&#x2013;3 points. The total scores range from 0 to 42 points, with higher scores indicating more severe apathy. Participants with a sum score &#x2265;14 were classified as having a clinically meaningful apathy (<xref ref-type="bibr" rid="ref43">Starkstein et al., 1992</xref>).</p>
</sec>
<sec id="sec10">
<title>2.4. Motor and non-motor symptoms assessment</title>
<p>The clinical assessments (motor and non-motor symptoms) of each subject were completed by neurological specialists. On the one hand, the severity and stage of PD were measured using the modified Hoehn and Yahr scale (<xref ref-type="bibr" rid="ref16">Goetz et al., 2004</xref>), and the motor function was assessed using the Movement Disorder Society-sponsored Unified Parkinson&#x2019;s Disease Rating Scale (MDS-UPDRS) Part II and the MDS-UPDRS Part III (<xref ref-type="bibr" rid="ref17">Goetz et al., 2008</xref>). On the other hand, each patient underwent a comprehensive non-motor symptoms examination: China-Modified Mini-Mental State Examination (CM-MMSE; <xref ref-type="bibr" rid="ref48">Xu et al., 2003</xref>), Parkinson&#x2019;s Disease Sleep Scale (PDSS; <xref ref-type="bibr" rid="ref7">Chaudhuri et al., 2002</xref>). Hamilton Depression Rating Scale (HAMD; <xref ref-type="bibr" rid="ref20">Hamilton, 1960</xref>), Hamilton Anxiety Rating Scale (HAMA; <xref ref-type="bibr" rid="ref19">Hamilton, 1959</xref>), Scale for Outcomes in PD for Autonomic Symptoms (SCOPA-AUT; <xref ref-type="bibr" rid="ref45">Visser et al., 2004</xref>) and Non-Motor Symptoms Scale (NMSS; <xref ref-type="bibr" rid="ref6">Chaudhuri et al., 2007</xref>).</p>
</sec>
<sec id="sec11">
<title>2.5. Statistical analysis</title>
<p>Continuous variables were described as means and standard deviations (SD), and categorical variables were described as counts and percentages. Data comparing two groups were performed using Student&#x2019;s <italic>t</italic>-test, Mann&#x2013;Whitney <italic>U</italic> test or chi-squared test. The Bonferroni method was applied for multiple testing. The univariate correlation analysis was performed using the Spearman rank correlations. In order to screen the predictive factors of apathy in PD, factors with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.10 in the univariate analysis were enrolled in the multivariate stepwise logistic regression analysis with two exceptions. Age and sex were also included since they have been previously associated with apathy (<xref ref-type="bibr" rid="ref36">Pedersen et al., 2009</xref>, <xref ref-type="bibr" rid="ref35">2010</xref>; <xref ref-type="bibr" rid="ref34">Pagonabarraga et al., 2015</xref>), and the exit criteria was set at <italic>p</italic>&#x2009;&#x003E;&#x2009;0.10 for regression analysis. Finally, five selected predictors were used to construct a logistic regression model and then integrated into the nomogram for predicting the occurrence of apathy in PD. The discrimination ability of the model was evaluated by the consistency index (C-index) and the area under the curve (AUC) of a receiver operating curve (ROC), which ranges from 0.5 (discrimination no better than chance) to 1 (perfect discrimination). The calibration of the prediction model was conducted using a calibration plot, which estimates how close the nomogram predicted risk is to the actual observed risk. Both internal validation and calibration were performed by bootstrapping with 1,000 resamples.</p>
<p>All statistical analyses were performed with SPSS (version 26.0), R software (version 4.2.0) and GraphPad Prism (version 8.0). Statistical significance was defined as a two-tailed <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
</sec>
<sec id="sec12" sec-type="results">
<title>3. Results</title>
<sec id="sec13">
<title>3.1. Demographic and clinical characteristics</title>
<p>The demographic and clinical characteristics are summarized in <xref rid="tab1" ref-type="table">Table 1</xref>. Briefly, 201 patients aged 59.27&#x2009;years (SD&#x2009;=&#x2009;10.72; 102 males) were enrolled in the study. A total of 99 patients (49.25%) reported apathy, while 102 patients (50.75%) reported non-apathy. Compared with non-apathetic patients, apathetic participants had higher scores of the MDS-UPDRS Part II (<italic>p</italic>&#x2009;=&#x2009;0.045). There was no significant difference in age, sex, education years, disease onset, disease duration, family history of PD, LEDD, Hoehn-Yahr stage or MDS-UPDRS Part III scores between these two groups.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographic and clinical characteristics of the study population.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">Overall<break/><italic>N</italic>&#x2009;=&#x2009;201</th>
<th align="center" valign="top">Apathetic<break/><italic>N</italic>&#x2009;=&#x2009;99</th>
<th align="center" valign="top">Non-apathetic<break/><italic>N</italic>&#x2009;=&#x2009;102</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Demographic characteristics</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td align="char" valign="top" char="(">59.27 (10.72)</td>
<td align="char" valign="top" char="(">60.41 (10.17)</td>
<td align="char" valign="top" char="(">58.16 (11.17)</td>
<td align="char" valign="top" char=".">0.149</td>
</tr>
<tr>
<td align="left" valign="top">Male, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">102 (50.7)</td>
<td align="char" valign="top" char="(">49 (49.5)</td>
<td align="char" valign="top" char="(">53 (52.0)</td>
<td align="char" valign="top" char=".">0.727</td>
</tr>
<tr>
<td align="left" valign="top">Education, years</td>
<td align="char" valign="top" char="(">8.55(4.43)</td>
<td align="char" valign="top" char="(">8.05(4.93)</td>
<td align="char" valign="top" char="(">9.03(3.85)</td>
<td align="char" valign="top" char=".">0.303</td>
</tr>
<tr>
<td align="left" valign="top">Disease onset, years</td>
<td align="char" valign="top" char="(">54.75 (10.27)</td>
<td align="char" valign="top" char="(">55.46 (10.32)</td>
<td align="char" valign="top" char="(">54.06 (10.23)</td>
<td align="char" valign="top" char=".">0.333</td>
</tr>
<tr>
<td align="left" valign="top">Disease duration, years</td>
<td align="char" valign="top" char="(">5.19 (4.76)</td>
<td align="char" valign="top" char="(">4.97 (4.13)</td>
<td align="char" valign="top" char="(">5.40 (5.31)</td>
<td align="char" valign="top" char=".">0.511</td>
</tr>
<tr>
<td align="left" valign="top">Familial history of PD, <italic>n</italic> (%)</td>
<td align="char" valign="top" char="(">14 (7.0)</td>
<td align="char" valign="top" char="(">8 (8.1)</td>
<td align="char" valign="top" char="(">6 (5.9)</td>
<td align="char" valign="top" char=".">0.540</td>
</tr>
<tr>
<td align="left" valign="top">LEDD, mg</td>
<td align="char" valign="top" char="(">478.32 (212.73)</td>
<td align="char" valign="top" char="(">483.69 (236.83)</td>
<td align="char" valign="top" char="(">473.10 (187.43)</td>
<td align="char" valign="top" char=".">0.948</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Motor assessment</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Hoehn-Yahr stage</td>
<td align="char" valign="top" char="(">2.23 (0.89)</td>
<td align="char" valign="top" char="(">2.21 (0.87)</td>
<td align="char" valign="top" char="(">2.25 (0.92)</td>
<td align="char" valign="top" char=".">0.731</td>
</tr>
<tr>
<td align="left" valign="top">MDS-UPDRS Part II</td>
<td align="char" valign="top" char="(">12.21 (7.82)</td>
<td align="char" valign="top" char="(">13.26 (7.77)</td>
<td align="char" valign="top" char="(">11.20 (7.77)</td>
<td align="char" valign="top" char=".">0.045<xref rid="tfn1" ref-type="table-fn"><sup>&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">MDS-UPDRS Part III</td>
<td align="char" valign="top" char="(">34.46 (16.32)</td>
<td align="char" valign="top" char="(">36.06 (16.48)</td>
<td align="char" valign="top" char="(">32.91 (16.10)</td>
<td align="char" valign="top" char=".">0.172</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Apathy assessment</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">AS</td>
<td align="char" valign="top" char="(">14.71 (12.33)</td>
<td align="char" valign="top" char="(">25.21 (8.33)</td>
<td align="char" valign="top" char="(">4.52 (4.57)</td>
<td align="char" valign="top" char=".">&#x003C;0.001<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Non-motor symptoms assessment</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">CM-MMSE</td>
<td align="char" valign="top" char="(">25.14 (4.68)</td>
<td align="char" valign="top" char="(">24.16 (5.55)</td>
<td align="char" valign="top" char="(">26.09 (3.41)</td>
<td align="char" valign="top" char=".">0.039<xref rid="tfn1" ref-type="table-fn"><sup>&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">PDSS</td>
<td align="char" valign="top" char="(">117.50 (22.62)</td>
<td align="char" valign="top" char="(">113.08 (21.96)</td>
<td align="char" valign="top" char="(">121.79 (25.53)</td>
<td align="char" valign="top" char=".">0.003<xref rid="tfn2" ref-type="table-fn"><sup>&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">HAMD</td>
<td align="char" valign="top" char="(">13.13 (8.03)</td>
<td align="char" valign="top" char="(">16.53 (7.47)</td>
<td align="char" valign="top" char="(">9.83 (7.15)</td>
<td align="char" valign="top" char=".">&#x003C;0.001<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">HAMA</td>
<td align="char" valign="top" char="(">12.15 (7.45)</td>
<td align="char" valign="top" char="(">14.53 (7.20)</td>
<td align="char" valign="top" char="(">9.84 (6.98)</td>
<td align="char" valign="top" char=".">&#x003C;0.001<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">SCOPA-AUT</td>
<td align="char" valign="top" char="(">10.85 (7.69)</td>
<td align="char" valign="top" char="(">12.55 (7.86)</td>
<td align="char" valign="top" char="(">9.21 (7.18)</td>
<td align="char" valign="top" char=".">0.002<xref rid="tfn2" ref-type="table-fn"><sup>&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">NMSS</td>
<td align="char" valign="top" char="(">47.31 (32.62)</td>
<td align="char" valign="top" char="(">56.35 (33.94)</td>
<td align="char" valign="top" char="(">38.54 (28.84)</td>
<td align="char" valign="top" char=".">&#x003C;0.001<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;&#x002A;&#x002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AS, Apathy Scale; CM-MMSE, China-Modified Mini-Mental State Examination; HAMA, Hamilton Anxiety Rating Scale; HAMD, Hamilton Depression Rating Scale; LEDD, Levodopa Equivalent Daily Dose; MDS-UPDRS Part II, Movement Disorders Society-sponsored Unified Parkinson&#x2019;s Disease Rating Scale Part II; MDS-UPDRS Part III, Movement Disorders Society-sponsored Unified Parkinson&#x2019;s Disease Rating Scale Part III; NMSS, Non-Motor Symptoms Scales; PDSS, Parkinson&#x2019;s disease sleep scale; SCOPA-AUT, Scale for Outcomes in PD for Autonomic Symptoms.</p>
<fn id="tfn1"><label>&#x002A;</label><p><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05;</p> </fn>
<fn id="tfn2"><label>&#x002A;&#x002A;</label><p><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01;</p> </fn>
<fn id="tfn3">
<label>&#x002A;&#x002A;&#x002A;</label>
<p><italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<title>3.2. Serum iron metabolism</title>
<p>Both TRF concentration (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0024) and TIBC levels (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0024) were lower in the apathetic group than in the non-apathetic group after Bonferroni correction (<xref rid="tab2" ref-type="table">Table 2</xref>; <xref rid="fig1" ref-type="fig">Figure 1</xref>). No significant changes were observed in the levels of SI, SF, UIBC, TSAT or sTfR between the two groups. When stratified by gender, lower TRF concentration (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.27, <italic>p</italic>&#x2009;=&#x2009;0.010) and TIBC (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.259, <italic>p</italic>&#x2009;=&#x2009;0.014) were significantly associated with lower AS scores in male participants with PD (<xref rid="fig2" ref-type="fig">Figure 2</xref>). However, no correlations were not found for female patients (TRF, <italic>r</italic>&#x2009;=&#x2009;&#x2212;0.109, <italic>p</italic>&#x2009;=&#x2009;0.333; TIBC, <italic>r</italic>&#x2009;=&#x2009;&#x2212;0.116, <italic>p</italic>&#x2009;=&#x2009;0.302).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The levels of iron metabolism in serum between apathetic and non-apathetic groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Iron metabolism</th>
<th align="center" valign="top">Overall<break/><italic>N</italic>&#x2009;=&#x2009;171</th>
<th align="center" valign="top">Apathetic<break/><italic>N</italic>&#x2009;=&#x2009;87</th>
<th align="center" valign="top">Non-apathetic<break/><italic>N</italic>&#x2009;=&#x2009;84</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">SI, &#x03BC;mol/L</td>
<td align="char" valign="top" char="(">16.25 (5.66)</td>
<td align="char" valign="top" char="(">15.43 (4.99)</td>
<td align="char" valign="top" char="(">17.10 (6.20)</td>
<td align="char" valign="top" char=".">0.054</td>
</tr>
<tr>
<td align="left" valign="top">SF, &#x03BC;g/L</td>
<td align="char" valign="top" char="(">177.56 (123.94)</td>
<td align="char" valign="top" char="(">183.18 (123.94)</td>
<td align="char" valign="top" char="(">171.74 (124.42)</td>
<td align="char" valign="top" char=".">0.423</td>
</tr>
<tr>
<td align="left" valign="top">TRF, g/L</td>
<td align="char" valign="top" char="(">2.24 (0.37)</td>
<td align="char" valign="top" char="(">2.16 (0.36)</td>
<td align="char" valign="top" char="(">2.33 (0.37)</td>
<td align="char" valign="top" char=".">0.002<xref rid="tfn4" ref-type="table-fn"><sup>&#x002A;&#x002A;</sup></xref><sup>,</sup><xref rid="tfn5" ref-type="table-fn"><sup>^</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">UIBC, &#x03BC;mol/L</td>
<td align="char" valign="top" char="(">34.94 (9.25)</td>
<td align="char" valign="top" char="(">32.92(7.78)</td>
<td align="char" valign="top" char="(">34.99 (10.50)</td>
<td align="char" valign="top" char=".">0.159</td>
</tr>
<tr>
<td align="left" valign="top">TIBC, &#x03BC;mol/L</td>
<td align="char" valign="top" char="(">50.23 (8.06)</td>
<td align="char" valign="top" char="(">48.36(7.55)</td>
<td align="char" valign="top" char="(">52.17 (8.15)</td>
<td align="char" valign="top" char=".">0.002<xref rid="tfn4" ref-type="table-fn"><sup>&#x002A;&#x002A;</sup></xref><sup>,</sup><xref rid="tfn5" ref-type="table-fn"><sup>^</sup></xref></td>
</tr>
<tr>
<td align="left" valign="top">TSAT, %</td>
<td align="char" valign="top" char="(">32.59 (11.34)</td>
<td align="char" valign="top" char="(">32.27 (9.83)</td>
<td align="char" valign="top" char="(">32.92 (12.77)</td>
<td align="char" valign="top" char=".">0.770</td>
</tr>
<tr>
<td align="left" valign="top">sTfR, mg/L</td>
<td align="char" valign="top" char="(">2.80 (0.71)</td>
<td align="char" valign="top" char="(">2.76 (0.61)</td>
<td align="char" valign="top" char="(">2.85 (0.80)</td>
<td align="char" valign="top" char=".">0.664</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p>SF, serum ferritin; SI, serum iron; TRF, transferrin; sTfR, soluble transferrin receptor; TIBC, total iron binding capacity; TSAT, transferrin saturation, UIBC, unsaturated iron binding capacity.</p><fn id="tfn4">
<label>&#x002A;&#x002A;</label>
<p><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01.</p>
</fn> <fn id="tfn5">
<label>^</label>
<p>The <italic>p</italic>-value was survived after Bonferroni correction (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05/21&#x2009;=&#x2009;0.0024).</p>
</fn></table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The levels of iron metabolism in serum between apathetic and non-apathetic groups. The serum concentrations of TRF <bold>(A)</bold> and TIBC <bold>(B)</bold> were lower in the apathetic group than those in the non-apathetic group. TIBC, total iron binding capacity; TRF, transferrin. &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01. <sup>^</sup>The <italic>p</italic>-value was survived after Bonferroni correction (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05/21&#x2009;=&#x2009;0.0024).</p>
</caption>
<graphic xlink:href="fnagi-14-1062964-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Correlation between AS scores and serum TRF <bold>(A)</bold> or TIBC <bold>(B)</bold> in the different sexual patients with PD. Spearman correlation showed a weak relationship between AS score and serum TRF concentration (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.27, <italic>p</italic>&#x2009;=&#x2009;0.010), TIBC (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.259, <italic>p</italic>&#x2009;=&#x2009;0.014) in male participants with PD. However, there were no significant associations between AS score and the level of TRF (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.109, <italic>p</italic>&#x2009;=&#x2009;0.333) or TIBC (<italic>r</italic>&#x2009;=&#x2009;&#x2212;0.116, <italic>p</italic>&#x2009;=&#x2009;0.302) for female patients. AS, Apathy Scale; PD, Parkinson&#x2019;s disease; TIBC, total iron binding capacity; TRF, transferrin.</p>
</caption>
<graphic xlink:href="fnagi-14-1062964-g002.tif"/>
</fig>
</sec>
<sec id="sec15">
<title>3.3. Apathy and other non-motor symptoms</title>
<p>The mean (SD) AS scores for the apathetic and the non-apathetic patients were 25.21 (8.33) and 4.52 (4.57), respectively (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Overall, Patients with apathy showed more severe non-motor symptoms, including cognitive function, sleep disturbance, depression, anxiety and autonomic dysfunction (<xref rid="tab1" ref-type="table">Table 1</xref>). Apathetic patients had significantly lower scores for the CM-MMSE (<italic>p</italic>&#x2009;=&#x2009;0.039) and PDSS (<italic>p</italic>&#x2009;=&#x2009;0.003), and higher scores for the HAMD, HAMA, SCOPA-AUT, and NMSS (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) compared to non-apathetic patients. For cognitive domains, apathetic patients showed poorer performance on executive function (<italic>p</italic>&#x2009;=&#x2009;0.009), attention and calculation abilities (<italic>p</italic>&#x2009;=&#x2009;0.030) than non-apathetic patients (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>).</p>
</sec>
<sec id="sec16">
<title>3.4. Factor selection for the predictive model, validation and calibration of the nomogram</title>
<p>The correlation between other variables and AS scores are shown in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>. The stepwise logistic regression analysis indicated that the concentration of SI (<italic>OR</italic>&#x2009;=&#x2009;0.943, 95% CI&#x2009;=&#x2009;0.884&#x2013;1.007, <italic>p</italic>&#x2009;=&#x2009;0.079), TIBC (<italic>OR</italic>&#x2009;=&#x2009;0.935, <italic>95% CI</italic>&#x2009;=&#x2009;0.891&#x2013;0.981, <italic>p</italic>&#x2009;=&#x2009;0.006) and HAMD (<italic>OR</italic>&#x2009;=&#x2009;1.165, 95% CI&#x2009;=&#x2009;1.102&#x2013;1.232, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) scores can be identified as the risk factors for apathy in PD (<xref ref-type="supplementary-material" rid="SM3">Supplementary Table 3</xref>). After taking the influence of age and sex into account, the final logistic model incorporated five predictors (age, sex, SI concentration, TIBC, and HAMD scores) and was developed as a nomogram that is represented in <xref rid="fig3" ref-type="fig">Figure 3</xref>. For each patient, higher total points indicated a higher risk of apathy. The red line and red dots on the graph show an example of using the nomograph to predict the probability of apathy for a given patient with PD.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>A constructed nomogram for the prediction of a patient with apathy. The nomogram was developed by incorporating the following five parameters: age (years), sex (male, female), SI concentration (&#x03BC;mol/L), TIBC (&#x03BC;mol/L) and HAMD scores. For each patient, a value of related variable is situated on the variable axis of the nomogram, and a vertical upward line determines the points calculated for each variable. Sum the points for each variable and draw a line from the total points axis to determine apathy probabilities. The red line and dots depict an example for predicting the probability of having apathy for a 53&#x2009;years old female with PD, who has a SI level of 15.06&#x2009;&#x03BC;mol/L, a TIBC level of 59.06&#x2009;&#x03BC;mol/L and HAMD scores of 21. HAMD, Hamilton Depression Rating Scale; SI, serum iron; TIBC, total iron binding capacity. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</caption>
<graphic xlink:href="fnagi-14-1062964-g003.tif"/>
</fig>
<p>Furthermore, the internal validation was performed by using the bootstrap method with 1,000 resamples to validate the performance of the nomogram. And the calibration curve (<xref rid="fig4" ref-type="fig">Figure 4A</xref>) indicated a preferable consistency between the predicted model and the ideal model. The C-index was 0.799 (95% CI&#x2009;=&#x2009;0.732&#x2013;0.865), and the correspondent ROC curve and its AUC were provided in <xref rid="fig4" ref-type="fig">Figure 4B</xref>, reflecting a good discrimination ability of the nomogram.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>The calibration and accuracy of the nomogram. Calibration curve for predicting the probability of apathetic patients with PD <bold>(A)</bold>. ROC curve of the predictive model showing an AUC of 0.799 (95% CI&#x2009;=&#x2009;0.732&#x2013;0.865) <bold>(B)</bold>. AUC, area under the curve; CI, confidence interval; PD, Parkinson&#x2019;s disease; ROC, receiver operating characteristic.</p>
</caption>
<graphic xlink:href="fnagi-14-1062964-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="sec17" sec-type="discussions">
<title>4. Discussion</title>
<p>Apathy was common in our Chinese cohort, which is associated with more severe motor and non-motor symptoms. To the best of our knowledge, lower serum TRF levels and TIBC were observed in apathetic patients with PD for the first time, and both were negatively associated with AS scores in male patients with PD. Therefore, the disturbance of iron metabolism may contribute to apathy in PD, especially among male patients. More importantly, we developed an objective and practical nomogram to assist clinicians in screening apathetic patients with PD.</p>
<p>About 49.25% of the 201 patients were apathetic in our study, which is similar to the findings of a Chinese study on 145 patients assessed by AS (<xref ref-type="bibr" rid="ref46">Wang et al., 2016</xref>). The subjective motor experiences of daily living in apathetic patients were impaired, implying that these patients exhibit a more severe neurodegenerative pattern progression (<xref ref-type="bibr" rid="ref10">den Brok et al., 2015</xref>; <xref ref-type="bibr" rid="ref34">Pagonabarraga et al., 2015</xref>). Also, dopamine ascending pathways were reported to play critical roles in the pathophysiology of apathy in PD (<xref ref-type="bibr" rid="ref26">Levy and Czernecki, 2006</xref>).</p>
<p>We also found that apathy in PD was related to worse cognitive function, which is consistent with previous studies (<xref ref-type="bibr" rid="ref28">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="ref5">Brown et al., 2019</xref>). Neuroimaging studies have demonstrated that cognitive decline in apathetic patients with PD is strongly linked with significant gray and white matter loss in the frontal lobe areas and the insular region (<xref ref-type="bibr" rid="ref1">Alzahrani et al., 2016</xref>). In addition, apathetic patients with PD had more severe depression and anxiety, worse sleep quality and more severe autonomic dysfunction than non-apathetic patients. These aspects may probably account for the poorer quality of life experienced by apathetic compared to non-apathetic patients, as previously reported (<xref ref-type="bibr" rid="ref41">Skorvanek et al., 2013</xref>).</p>
<p>As far as we known, the difference in serum TRF concentration or TIBC between PD participants with and without apathy has not been reported yet. TRF is a glycoprotein that circulates iron in a soluble, non-toxic form and delivers it to other body tissues (<xref ref-type="bibr" rid="ref15">Gkouvatsos et al., 2012</xref>), including the brain (<xref ref-type="bibr" rid="ref32">Moos et al., 2007</xref>). Another biomarker, TIBC, is regarded as a parameter to evaluate the maximal capacity of serum to transport iron, which is proportional to the concentration of TRF in serum (<xref ref-type="bibr" rid="ref23">Kasvosve and Delanghe, 2002</xref>). Due to the decreased TRF concentration, a lack of iron load to transferrin may allow non-transferrin-bound iron enters the pool of labile iron (<xref ref-type="bibr" rid="ref2">Ashraf et al., 2020</xref>), leading to enhanced harmful lipid peroxide production. It was considered one of the reasons contributing to the death of dopaminergic neurons in PD (<xref ref-type="bibr" rid="ref29">Ma et al., 2021</xref>). Furthermore, similar research has also revealed that iron level in the CSF is significantly higher and positively correlated with&#x00B7;OH level in apathetic patients with PD. The authors also speculated excessive iron may be involved in apathy <italic>via</italic> oxidative stress (<xref ref-type="bibr" rid="ref46">Wang et al., 2016</xref>). However, the association between central and peripheral iron in PD has not been fully elucidated (<xref ref-type="bibr" rid="ref9">Costa-Mallen et al., 2017</xref>; <xref ref-type="bibr" rid="ref2">Ashraf et al., 2020</xref>). <xref ref-type="bibr" rid="ref9">Costa-Mallen et al. (2017)</xref> found decreased iron in circulation in favor of iron accumulation in the substantia nigra pars compacta (SNpc). In this investigation, levels of TRF and TIBC were significantly lower in apathetic patients than that in non-apathetic patients, based on which, we speculated that the decrease in serum TRF level in apathetic patients may result from the accumulation of iron in the brain, suggesting that disrupted iron metabolism may be involved in apathy in PD.</p>
<p>In male patients with PD, further analyses indicated that AS scores increased with decreased TRF concentration or TIBC. Recently, there has been increased interest in sex-related differences in PD or brain iron metabolism. An imaging study conducted on healthy individuals showed a selective lower total subcortical brain iron levels in middle-aged women compared to men and young women (<xref ref-type="bibr" rid="ref01">Persson et al., 2015</xref>). Previous studies have also demonstrated the regulatory role of estrogen in brain iron metabolism (<xref ref-type="bibr" rid="ref42">Sohrabji, 2007</xref>; <xref ref-type="bibr" rid="ref18">Grubi&#x0107; Kezele and &#x0106;urko-Cofek, 2020</xref>). Tzu-Yun et al. found that estradiol <italic>via</italic> different estrogen receptors could diminish the iron overload-induced autophagy and injury in female and male mice, respectively (<xref ref-type="bibr" rid="ref8">Chen et al., 2019</xref>). Furthermore, the results by Wang and colleagues suggested that the striatum of male mice was more sensitive to iron accumulation than that of female mice. This trend was similar to those previously observed in clinical studies, which showed that men have a much higher risk of developing PD than women (<xref ref-type="bibr" rid="ref18">Grubi&#x0107; Kezele and &#x0106;urko-Cofek, 2020</xref>), and they are more likely to be apathetic (<xref ref-type="bibr" rid="ref34">Pagonabarraga et al., 2015</xref>). Sex-associated differences are common among patients with PD, and we believe that this would be valuable for a future study.</p>
<p>The other particular strength of our study is that we developed a novel practical model to identify patients with PD who had a high risk of apathy. Based on standard deviation along the nomogram, both TIBC concentration and HAMD scores were important predictors, while age, sex and SI concentration do not appear to play a role in predicting apathy in this model. Our findings revealed that patients with a lower TIBC level were at a higher risk of apathy. Meanwhile, a trend towards decreased serum iron was found in apathetic patients although this difference did not reach statistical significance. Lower serum iron may also be linked with apathy. Patients with iron deficiency anemia could present with apathy (<xref ref-type="bibr" rid="ref4">Bourre, 2006</xref>). And a study on psychiatric patients also found that oral iron treatment could bring about a reduction in apathy and the likelihood of resorting to psychiatric admission (<xref ref-type="bibr" rid="ref22">Kassir, 2017</xref>). TRF delivers iron to the brain from the blood by binding to TRF receptors at the blood&#x2013;brain barrier (<xref ref-type="bibr" rid="ref29">Ma et al., 2021</xref>). As discussed previously, the relationship between peripheral and central iron in PD is still unclear and some points of view are contradictory. A previous study showed that lower serum iron in patients with PD may result from progressive iron deposition in the SNpc (<xref ref-type="bibr" rid="ref9">Costa-Mallen et al., 2017</xref>). Therefore, we speculated that lower TIBC and the trend towards decreased serum iron in apathetic patients might provide indirect evidence for brain iron overload. And the specific mechanism may involve the regulation of TRF receptors expression on the cells of the blood&#x2013;brain barrier (<xref ref-type="bibr" rid="ref29">Ma et al., 2021</xref>). However, both iron deficiency in peripheral and central systems were simultaneously observed in patients with PD by <xref ref-type="bibr" rid="ref37">Piao et al. (2017)</xref>. In summary, the disturbance of iron metabolism is definitively involved in the pathogenesis of PD, and may also play a role in apathy although further investigation is required.</p>
<p>In addition to TIBC level, patients with severe depression were also more likely to be apathetic, which is consistent with the study from <xref ref-type="bibr" rid="ref5">Brown et al. (2019)</xref>. A 4-year prospective cohort study demonstrated that a high Hamilton Depression Rating Scale (HDRS) score was a predictor of apathy in PD (<xref ref-type="bibr" rid="ref33">Ou et al., 2020</xref>), which may result from shared pathophysiological mechanisms. Maillet et al. found that the serotonergic alteration within the bilateral ventral striatum and the right caudate nucleus may play a role in apathy as well as depression (<xref ref-type="bibr" rid="ref30">Maillet et al., 2016</xref>). Moreover, it is worth noting that we did not confuse apathy with depression, although there is a large overlap between apathy and depression (<xref ref-type="bibr" rid="ref34">Pagonabarraga et al., 2015</xref>). The results from the nomogram should be viewed with caution, that means when patients with PD have both depression and iron metabolism abnormality, clinicians need to be alert to the possibility of apathy.</p>
<p>Since apathy is frequently associated with greater cognitive decline, more severe motor symptoms and heavier caregiver burden (<xref ref-type="bibr" rid="ref34">Pagonabarraga et al., 2015</xref>), it is a need for earlier intervention. But there is no standard treatment for apathy. Acetylcholinesterase inhibitors and dopamine agonists were reported to improve apathy in PD (<xref ref-type="bibr" rid="ref40">Seppi et al., 2019</xref>). Based on our study, we believed that maintaining iron homeostasis could be a potential therapeutic target for apathy in PD. Notably, the results should be interpreted with caution and there is much work needed to be carried out.</p>
<p>Several limitations of our study should be acknowledged. Firstly, this is a single-center study evaluating Chinese patients, which needs multicenter clinical datasets to perform the external validation of the nomogram. Secondly, further longitudinal studies are warranted to determine predictors of apathy. Thirdly, cognitive function of each participant was evaluated only by CM-MMSE, and more cognitive tests such as the Montreal Cognitive Assessment should be used in future studies. Finally, the analysis presented here has not incorporated radiological findings of patients, which will help to further explore the neural structures and levels of iron in the brain related to apathetic patients with PD.</p>
</sec>
<sec id="sec18" sec-type="conclusions">
<title>5. Conclusion</title>
<p>In summary, apathy in PD is related to more severe motor and non-motor impairment. Lower serum TRF concentration and TIBC were first reported in apathetic patients with PD, and both were negatively associated with AS scores in male patients with PD. These findings suggest that abnormal iron metabolism may serve as an underlying mechanism of apathy in PD. TIBC level in combination with HAMD scores could be effectively used for the prediction of apathy in PD.</p>
</sec>
<sec id="sec19" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="sec20">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Medical Ethics Committee of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec21">
<title>Author contributions</title>
<p>ZX, Y-jX, and J-tL contributed to study design. J-tL, YQ, H-lG, J-yL, Q-xQ, D-lW, and J-wZ contributed to data acquisition. J-tL, Z-jM, ZM, Y-jX, and ZX analyzed and extracted the data. J-tL, YQ, H-lG, Y-jX, and ZX wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec22" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (grant number 81771376).</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<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 id="sec100" sec-type="disclaimer">
<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>
</body>
<back>
<ack>
<p>We are grateful to patients for participating in this research and to the physicians and nurses for assisting with recruitment and clinical evaluations of the participants.</p>
</ack>
<sec id="sec24" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnagi.2022.1062964/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnagi.2022.1062964/full#supplementary-material</ext-link></p>
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