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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.2022.885090</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>Endophenotypic effects of the <italic>SORL1</italic> variant rs2298813 on regional brain volume in patients with late-onset Alzheimer&#x02019;s disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Chun-Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1697792/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Yung-Shuan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1924176/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname> <given-names>Wei-Ju</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1748870/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liao</surname> <given-names>Yi-Chu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kuo</surname> <given-names>Yu-Shan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Albert C.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/305042/overview"/>
</contrib> 
<contrib contrib-type="author" corresp="yes">
<name><surname>Fuh</surname> <given-names>Jong-Ling</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/12610/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Medicine, Taipei Veterans General Hospital Yuli Branch</institution>, <addr-line>Hualien</addr-line>, <country>Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Division of General Neurology, Neurological Institute, Taipei Veterans General Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Faculty of Medicine, National Yang Ming Chiao Tung University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Brain Research Center, National Yang-Ming Chiao Tung University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff5"><sup>5</sup><institution>Institute of Brain Science, National Yang Ming Chiao Tung University</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff6"><sup>6</sup><institution>Neurological Institute, Taichung Veterans General Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff7"><sup>7</sup><institution>Dementia Center and Center for Geriatrics and Gerontology, Taichung Veterans General Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff9"><sup>9</sup><institution>Division of Peripheral Neurology, Neurological Institute, Taipei Veterans General Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Agustin Ibanez, Latin American Brain Health Institute (BrainLat), Chile</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Claudia Duran-Aniotz, Adolfo Ib&#x000E1;&#x000F1;ez University, Chile; Diego Albani, Mario Negri Pharmacological Research Institute (IRCCS), Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jong-Ling Fuh <email>jlfuh&#x00040;vghtpe.gov.tw</email></corresp>
<fn fn-type="other" id="fn001"><p><bold>Specialty section</bold>: This article was submitted to Alzheimer&#x02019;s Disease and Related Dementias, a section of the journal Frontiers in Aging Neuroscience</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>14</volume>
<elocation-id>885090</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>07</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Chen, Lin, Lee, Liao, Kuo, Yang and Fuh.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Chen, Lin, Lee, Liao, Kuo, Yang and Fuh</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><p><bold>Introduction</bold>: Two common variants of sortilin-related receptor 1 gene (<italic>SORL1</italic>), rs2298813 and rs1784933, have been associated with late-onset Alzheimer&#x02019;s disease (AD) in the Han Chinese population in Taiwan. However, neuroimaging correlates of these two <italic>SORL1</italic> variants remain unknown. We aimed to determine whether the two <italic>SORL1</italic> polymorphisms were associated with any volumetric differences in brain regions in late-onset AD patients.</p>
<p><bold>Methods</bold>: We recruited 200 patients with late-onset AD from Taipei Veterans General Hospital. All patients received a structural magnetic resonance (MR) imaging brain scan and completed a battery of neurocognitive tests at enrollment. We followed up to assess changes in Mini-Mental State Examination (MMSE) scores in 155 patients (77.5%) at an interval of 2 years. Volumetric measures and cortical thickness of various brain regions were performed using FreeSurfer. Regression analysis controlled for apolipoprotein E status. Multiple comparisons were corrected for using the false discovery rate.</p>
<p><bold>Results</bold>: The homozygous major allele of rs2298813 was associated with larger volumes in the right putamen (<italic>p</italic> = 0.0442) and right pallidum (<italic>p</italic> = 0.0346). There was no link between the rs1784933 genotypes with any regional volume or thickness of the brain. In the rs2298813 homozygous major allele carriers, the right putaminal volume was associated with verbal fluency (<italic>p</italic> = 0.008), and both the right putaminal and pallidal volumes were predictive of clinical progression at follow-up (<italic>p</italic> = 0.020). In the minor allele carriers, neither of the nuclei was related to cognitive test performance or clinical progression.</p>
<p><bold>Conclusion</bold>: The major and minor alleles of rs2298813 had differential effects on the right lentiform nucleus volume and distinctively modulated the association between the regional volume and cognitive function in patients with AD.</p></abstract>
<kwd-group>
<kwd>Alzheimer&#x02019;s disease</kwd>
<kwd>dementia</kwd>
<kwd>sortilin-related receptor 1 gene</kwd>
<kwd>SORL1</kwd>
<kwd>MRI</kwd>
</kwd-group>
<contract-sponsor id="cn001">Ministry of Science and Technology, Taiwan<named-content content-type="fundref-id">10.13039/501100004663</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="10"/>
<word-count count="116356"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="introduction" id="s1">
<title>Introduction</title>
<p>Accumulation of the neurotoxic proteolytic derivative of amyloid beta precursor protein (APP), amyloid-beta (A&#x003B2;) peptide, is proposed to be key to the pathogenesis of Alzheimer&#x02019;s disease (AD) (Hardy and Selkoe, <xref ref-type="bibr" rid="B24">2002</xref>). Sortilin-related receptor 1 (<italic>SORL1</italic>) encodes a mosaic protein (SORLA) consisting of several distinct domains, including the vacuolar protein sorting 10 protein (VPS10P) domain for A&#x003B2; binding and the low-density lipoprotein receptor domain for APP binding and lipoprotein binding (Barthelson et al., <xref ref-type="bibr" rid="B7">2020</xref>). SORLA acts as a sorting receptor for retrograde trafficking of APP to the trans-Golgi-network to prevent APP processing to A&#x003B2; and anterograde movement of A&#x003B2; for lysosomal degradation (Andersen et al., <xref ref-type="bibr" rid="B4">2016</xref>). <italic>SORL1</italic> mutations in human neurons lead to reduced levels of SORLA, resulting in defects of the neuronal endolysosome function and autophagy (Hung et al., <xref ref-type="bibr" rid="B30">2021</xref>). In addition, being a low-density lipoprotein receptor, SORLA mediates neuronal uptake of apolipoprotein E (ApoE)-rich lipoproteins (Yajima et al., <xref ref-type="bibr" rid="B64">2015</xref>), the misfolding of which contributes significantly to AD pathogenesis (Barthelson et al., <xref ref-type="bibr" rid="B7">2020</xref>). Ablation of SORLA expression increases A&#x003B2; in the brain of knockout mice (Andersen et al., <xref ref-type="bibr" rid="B3">2005</xref>), and SORLA-overexpressing cells have remarkably reduced levels of extracellular A&#x003B2; and lower levels of intracellular APP (Offe et al., <xref ref-type="bibr" rid="B45">2006</xref>). In the brains of AD patients, <italic>SORL1</italic> expression is reduced (Scherzer et al., <xref ref-type="bibr" rid="B53">2004</xref>). Moreover, both common and rare variants of <italic>SORL1</italic> have been associated with late-onset and early-onset AD, respectively (Campion et al., <xref ref-type="bibr" rid="B11">2019</xref>).</p>
<p><italic>SORL1</italic> variants were first identified, among several genes belonging to endocytic pathways, to be associated with sporadic AD by a pioneering study in Caucasians (Rogaeva et al., <xref ref-type="bibr" rid="B50">2007</xref>). Targeted single-nucleotide polymorphism (SNP) analyses and genome-wide association studies have validated the association not only in populations of Caucasian origin but also in Asian populations (Reitz et al., <xref ref-type="bibr" rid="B49">2011</xref>; Lambert et al., <xref ref-type="bibr" rid="B33">2013</xref>; Miyashita et al., <xref ref-type="bibr" rid="B44">2013</xref>). A number of studies have shown significant associations between specific <italic>SORL1</italic> polymorphisms and various phenotypes in AD patients, including lower A&#x003B2; levels in cerebrospinal fluid (Alexopoulos et al., <xref ref-type="bibr" rid="B2">2011</xref>) and serum (Chou et al., <xref ref-type="bibr" rid="B14">2016</xref>), increased tau protein in cerebrospinal fluid (Louwersheimer et al., <xref ref-type="bibr" rid="B39">2015</xref>), hippocampal atrophy (Cuenco et al., <xref ref-type="bibr" rid="B32">2008</xref>; Louwersheimer et al., <xref ref-type="bibr" rid="B39">2015</xref>; Xiromerisiou et al., <xref ref-type="bibr" rid="B63">2021</xref>), white matter hyperintensity (Cuenco et al., <xref ref-type="bibr" rid="B32">2008</xref>), frontal symptoms (Huang et al., <xref ref-type="bibr" rid="B29">2020</xref>), rate of cognitive decline (Hsieh et al., <xref ref-type="bibr" rid="B27">2021</xref>), and Parkinsonian features (Cuccaro et al., <xref ref-type="bibr" rid="B16">2016</xref>; Xiromerisiou et al., <xref ref-type="bibr" rid="B63">2021</xref>).</p>
<p>We have previously reported that in the Han Chinese population in Taiwan, two common variants of <italic>SORL1</italic>, rs2298813, and rs1784933, were associated with late-onset AD (Chou et al., <xref ref-type="bibr" rid="B14">2016</xref>). In the elderly population in Australia and the United States, rs2298813 has also been identified in individuals with late-onset AD (Assareh et al., <xref ref-type="bibr" rid="B5">2014</xref>; Cuccaro et al., <xref ref-type="bibr" rid="B16">2016</xref>). The association of rs1784933 with the risk of late-onset AD has also been reported in the Han Chinese population in China (Feng et al., <xref ref-type="bibr" rid="B19">2015</xref>; Zhang et al., <xref ref-type="bibr" rid="B66">2017</xref>) and Mexicans (Toral-Rios et al., <xref ref-type="bibr" rid="B57">2022</xref>). The SNPrs2298813 is located at the VPS10P domain, and the nonsynonymous substitution of alanine to threonine at the 528th residue (A528T) of SORLA has been shown to increase the secretion of A&#x003B2;42, soluble APP&#x003B1;, and APP&#x003B2; <italic>in vitro</italic> (Vardarajan et al., <xref ref-type="bibr" rid="B59">2015</xref>). The SNPrs1784933 is located in the 3&#x02019; region of <italic>SORL1</italic>, and minor allele carriers with late-onset AD had lower plasma concentrations of A&#x003B2;42 (Chou et al., <xref ref-type="bibr" rid="B14">2016</xref>). The endophenotypic effects of various <italic>SORL1</italic> polymorphisms on the brain have been revealed in nondemented individuals (Liang et al., <xref ref-type="bibr" rid="B37">2015</xref>; Huang et al., <xref ref-type="bibr" rid="B28">2016</xref>; Yin et al., <xref ref-type="bibr" rid="B65">2016</xref>; Li et al., <xref ref-type="bibr" rid="B35">2017</xref>). For example, among the non-demented elders, rs1699102 was associated with gray matter volume of the right middle temporal pole (Li et al., <xref ref-type="bibr" rid="B35">2017</xref>), and rs1784933 and rs753780 was associated with right parahippocampal volume (Yin et al., <xref ref-type="bibr" rid="B65">2016</xref>). However, the neuroimaging correlates of rs2298813 and rs1784933 have not been established in AD patients. We, therefore, aimed to examine the associations between the two <italic>SORL1</italic> SNPs and gray matter volume and cortical thickness of different brain regions in late-onset AD patients.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Subjects</title>
<p>A total of 200 patients with late-onset AD were enrolled from Taipei Veterans General Hospital, Taiwan. All participants were of Han Chinese descent in Taiwan. Probable AD was diagnosed based on the criteria of the National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer&#x02019;s Disease and Related Disorders Association (Mckhann et al., <xref ref-type="bibr" rid="B43">2011</xref>). The diagnostic survey included history queries (including confirmation of ethnicity by family history), neurological examinations, laboratory tests (including thyroid function, vitamin B12, folate, treponemal tests, renal function, liver enzymes, electrolytes, cell counts, glucose, etc.), and magnetic resonance (MR) imaging of the brain. A subset of patients (<italic>n</italic> = 92) was screened for cognitive fluctuation using the Mayo fluctuation scale (Ferman et al., <xref ref-type="bibr" rid="B20">2004</xref>). The study was approved by the institutional review boards of Taipei Veterans General Hospital. Informed consent was obtained from all patients in accordance with our institutional guidelines and the recommendations of the Declaration of Helsinki.</p>
</sec>
<sec id="s2-2">
<title>Genotyping</title>
<p>Whole blood genomic DNA was extracted with a commercial kit in accordance with the manufacturer&#x02019;s instructions (QIAGEN, Hilden, Germany). The alleles of APOE (&#x003B5;2, &#x003B5;3, and &#x003B5;4) were determined by rs429358 and rs7412 (Chen et al., <xref ref-type="bibr" rid="B12">2012</xref>). Genotyping of the two <italic>SORL1</italic> SNPs (rs2298813 and rs1784933) and APOE alleles was performed using the TaqMan genotyping assay (Applied Biosystems, Foster City, CA, USA). Polymerase chain reactions were carried out in 96-well microplates using an ABI 7500 real-time polymerase chain reaction system (Applied Biosystems International, Framingham, MA). For allele discrimination, the fluorescence signal from the TaqMan polymerase chain reaction was analyzed using SDS software version 1.2.3 (Applied Biosystems International, Framingham, MA). Duplicate confirmation was performed if the initial genotyping result was undetermined. The failure rate for rs1784933 and rs2298813 was 0.59% and 1.19% respectively.</p>
</sec>
<sec id="s2-3">
<title>Cognitive testing</title>
<p>Global cognitive performance was assessed in each patient using the Mini-Mental State Examination (MMSE; Folstein et al., <xref ref-type="bibr" rid="B22">1975</xref>). Cognitive domain-specific tests were performed on all patients. Attention was tested by the forward and backward digit span tests from the Wechsler Memory Scale-IV (Wechsler, <xref ref-type="bibr" rid="B62">2009</xref>), memory by the 12-item word recall test (Vanderploeg et al., <xref ref-type="bibr" rid="B58">2000</xref>), language and executive function by the verbal fluency category test (Harrison et al., <xref ref-type="bibr" rid="B25">2000</xref>), processing speed by the Trail Making Test A (Lu and Bigler, <xref ref-type="bibr" rid="B40">2002</xref>), and naming by the Boston naming test (Mack et al., <xref ref-type="bibr" rid="B41">1992</xref>). We followed up to assess changes in MMSE scores over a mean interval of approximately 2 years in these patients. Rapid clinical progression was defined as a decrease in follow-up MMSE by at least 3 points per year (Schmidt et al., <xref ref-type="bibr" rid="B54">2011</xref>).</p>
</sec>
<sec id="s2-4">
<title>Imaging analysis</title>
<p>MR images were scanned at Taipei Veterans General Hospital, Taipei, Taiwan, on a 3.0-T GE Signa MRI scanner (GE Medical Systems, Milwaukee, WI, USA). High-resolution anatomic MR images were acquired through a 3D inversion-recovery fast spoiled gradient-echo (BRAVO) sequence. The high-resolution structural T1 images were processed using FreeSurfer version 5.3<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> based on the 2010 Desikan-Killiany atlas. Cortical reconstruction using FreeSurfer involved automated and manual processing. The automated processing included motion correction, nonbrain tissue removal (Fischl et al., <xref ref-type="bibr" rid="B21">2002</xref>), Talairach transformation, segmentation of the subcortical white matter and deep gray matter structures, intensity normalization, tessellation of the boundary between gray and white matter (Segonne et al., <xref ref-type="bibr" rid="B55">2007</xref>), automated topology correction, and surface deformation. When necessary, manual editing was undertaken to correct the pial surface error, skull strip error, or intensity normalization error following the FreeSurfer tutorial. Cortical thickness was calculated as the distance between the white and gray matter surfaces at each point across the regional cortex. There were 68 regions of cortical thickness and 21 regions of gray matter volume included in the statistical analysis. AD-related brain regions included volumes in the hippocampus and thickness of the parahippocampal gyrus, posterior cingulate cortex, middle temporal gyrus, and entorhinal cortex (Yin et al., <xref ref-type="bibr" rid="B65">2016</xref>). Other regions (other than AD-related regions) included all regions except the AD-related brain regions (19 regions of gray matter volume and 60 regions of cortical thickness).</p>
</sec>
<sec id="s2-5">
<title>Statistical analysis</title>
<p>Hardy-Weinberg equilibrium tests were conducted for each SNP. A dominant model of inheritance of the minor allele was presumed to test the associations between <italic>SORL1</italic> SNPs and imaging parameters. The analyses were executed with PASW Statistics software (version 25.0; SPSS, Chicago, IL, USA). Data are expressed as the mean &#x000B1; standard deviation or number of patients (%), as appropriate. The &#x003C7;<sup>2</sup> test was performed for categorical variables, and the t-test was performed for the comparion of two means. Multivariate linear regression analyses were used to assess the relationships between regional cortical thickness or gray matter volume and the <italic>SORL1</italic> SNPs or cognitive test results. The covariates included age, gender, education level, and APOE status. A logistic regression model was conducted to investigate the associations between rapid clinical progression or MMSE changes (points/year) at follow-up and features of selected brain regions with covariates that included age, gender, education level, and APOE status. For regression analysis involving gray matter volume, the estimated intracranial volume was additionally included as a covariate. Multiple comparisons were corrected with the false discovery rate (Benjamini&#x02013;Hochberg procedure) respectively for gray matter volume (21 regions) and cortical thickness (70 regions). Statistical significance was taken at <italic>P</italic> &#x0003C; 0.05 or Benjamini&#x02013;Hochberg corrected <italic>P</italic><sub>c</sub> &#x0003C; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Demographic data</title>
<p>The demographic data for those with rs2298813 and rs1784933 are shown in <xref ref-type="table" rid="T1">Table 1</xref>. Regarding rs2298813, there were 147 patients carrying the wild homozygote (GG), and 51 patients carrying the minor allele (51 AG and 3 AA). Regarding rs1784933, there were 92 patients carrying the wild homozygote (AA), and 109 patients carrying the minor allele (93 AG and 16 GG). Age, gender, MMSE score, years of education, disease duration, and APOE status did not differ between the homozygous major allele carriers and the minor allele carriers of both SNPs. The Mayo fluctuation scale scores tended to be higher in minor allele carriers than in homozygous major allele carriers of rs2298813 (<italic>p</italic> = 0.052) but were similar between minor allele carriers and non carriers of rs1784933 (<italic>p</italic> = 0.935). For both SNPs, the minor allele carriers performed similarly in all the neuropsychiatric tests as did the homozygous major allele carriers (<xref ref-type="table" rid="T1">Table 1</xref>). A total of 155 patients (77.5%) had a follow-up MMSE assessment after a mean interval of 2.1 &#x000B1; 0.8 years, and 37 patients had clinical progression. At follow-up, the minor allele carriers of both SNPs showed no differences in the risk of clinical progression vs. the homozygous major allele carriers.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption><p>The demographic data and cognitive test performance of the homozygous major allele carriers and minor allele carriers.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<th align="left">Homozygous major allele <italic>n</italic> = 146)</th>
<th align="left">Minor allele (<italic>n</italic> = 54)</th>
<th align="left"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>rs2298813</bold></td>
</tr>
<tr>
<td align="left"><italic>Demographic</italic></td>
</tr>
<tr>
<td align="left">&#x02002; Age, years</td>
<td align="center">77.5 &#x000B1; 7.9</td>
<td align="center">78.2 &#x000B1; 6.7</td>
<td align="center">0.590</td>
</tr>
<tr>
<td align="left">&#x02002; Gender (male)</td>
<td align="center">67 (45.9%)</td>
<td align="center">23 (42.6%)</td>
<td align="center">0.677</td>
</tr>
<tr>
<td align="left">&#x02002; Education level, years</td>
<td align="center">10.0 &#x000B1; 4.2</td>
<td align="center">9.1 &#x000B1; 5.0</td>
<td align="center">0.240</td>
</tr>
<tr>
<td align="left">&#x02002; Disease duration, months</td>
<td align="center">31.8 &#x000B1; 42.5</td>
<td align="center">32.9 &#x000B1; 29.4</td>
<td align="center">0.860</td>
</tr>
<tr>
<td align="left">&#x02002; Mayo fluctuations scale</td>
<td align="center">1.2 &#x000B1; 1.3</td>
<td align="center">1.8 &#x000B1; 1.1</td>
<td align="center">0.052</td>
</tr>
<tr>
<td align="left">&#x02002; Clinical progression</td>
<td align="center">26/118 (22.0%)</td>
<td align="center">10/38 (26.3)</td>
<td align="center">0.586</td>
</tr>
<tr>
<td align="left"><italic>Genetic test</italic></td>
</tr>
<tr>
<td align="left">&#x02002; APOE &#x003B5;4</td>
<td align="center">41 (28.1%)</td>
<td align="center">24 (44.4%)</td>
<td align="center">0.074</td>
</tr>
<tr>
<td align="left">&#x02002; &#x003B5;4/&#x003B5;4</td>
<td align="center">4 (2.7%)</td>
<td align="center">2 (3.7%)</td>
</tr>
<tr>
<td align="left"><italic>Cognitive test</italic></td>
</tr>
<tr>
<td align="left">&#x02002; MMSE score</td>
<td align="center">19.9 &#x000B1; 5.1</td>
<td align="center">20.9 &#x000B1; 5.2</td>
<td align="center">0.197</td>
</tr>
<tr>
<td align="left">&#x02002; 12-item word recall</td>
<td align="center">1.5 &#x000B1; 2.0</td>
<td align="center">2.1 &#x000B1; 2.5</td>
<td align="center">0.127</td>
</tr>
<tr>
<td align="left">&#x02002; Forward digit span</td>
<td align="center">8.7 &#x000B1; 2.9</td>
<td align="center">8.8 &#x000B1; 2.7</td>
<td align="center">0.900</td>
</tr>
<tr>
<td align="left">&#x02002; Backward digit span</td>
<td align="center">4.2 &#x000B1; 1.8</td>
<td align="center">4.6 &#x000B1; 2.4</td>
<td align="center">0.290</td>
</tr>
<tr>
<td align="left">&#x02002; Verbal fluency</td>
<td align="center">7.1 &#x000B1; 2.9</td>
<td align="center">7.9 &#x000B1; 2.9</td>
<td align="center">0.079</td>
</tr>
<tr>
<td align="left">&#x02002; Boston Naming</td>
<td align="center">11.1 &#x000B1; 2.5</td>
<td align="center">11.2 &#x000B1; 2.6</td>
<td align="center">0.808</td>
</tr>
<tr>
<td align="left">&#x02002; Trail Making, seconds</td>
<td align="center">146.4 &#x000B1; 97.4</td>
<td align="center">128.9 &#x000B1; 81.0</td>
<td align="center">0.261</td>
</tr>
<tr>
<td align="left"><bold>rs1784933</bold></td>
<td align="center">(n = 92)</td>
<td align="center">(n = 108)</td>
<td align="center"></td>
</tr>
<tr>
<td align="left"><italic>Demographic</italic></td>
</tr>
<tr>
<td align="left">&#x02002; Age (years)</td>
<td align="center">77.7 &#x000B1; 8.2</td>
<td align="center">77.55 &#x000B1; 7.38</td>
<td align="center">0.870</td>
</tr>
<tr>
<td align="left">&#x02002; Gender (male)</td>
<td align="center">45 (48.9%)</td>
<td align="center">45 (41.7%)</td>
<td align="center">0.305</td>
</tr>
<tr>
<td align="left">&#x02002; Education (years)</td>
<td align="center">9.4 &#x000B1; 4.2</td>
<td align="center">10.0 &#x000B1; 4.5</td>
<td align="center">0.341</td>
</tr>
<tr>
<td align="left">&#x02002; Disease duration (months)</td>
<td align="center">27.6 &#x000B1; 25.0</td>
<td align="center">36.1 &#x000B1; 48.0</td>
<td align="center">0.111</td>
</tr>
<tr>
<td align="left">&#x02002; Mayo fluctuations scale</td>
<td align="center">1.4 &#x000B1; 1.3</td>
<td align="center">1.4 &#x000B1; 1.2</td>
<td align="center">0.935</td>
</tr>
<tr>
<td align="left">&#x02002; Clinical progression</td>
<td align="center">19/67 (28.4%)</td>
<td align="center">18/88 (20.5%)</td>
<td align="center">0.253</td>
</tr>
<tr>
<td align="left"><italic>Genetic test</italic></td>
</tr>
<tr>
<td align="left">&#x02002; APOE &#x003B5;4</td>
<td align="center">29 (31.5%)</td>
<td align="center">36 (33.3%)</td>
<td align="center">0.770</td>
</tr>
<tr>
<td align="left">&#x02002; &#x003B5;4/&#x003B5;4</td>
<td align="center">2 (2.2%)</td>
<td align="center">4 (3.7%)</td>
</tr>
<tr>
<td align="left"><italic>Cognitive test</italic></td>
</tr>
<tr>
<td align="left">&#x02002; MMSE</td>
<td align="center">19.8 &#x000B1; 5.4</td>
<td align="center">20.5 &#x000B1; 4.7</td>
<td align="center">0.313</td>
</tr>
<tr>
<td align="left">&#x02002; 12-item word recall</td>
<td align="center">1.7 &#x000B1; 2.1</td>
<td align="center">1.7 &#x000B1; 2.3</td>
<td align="center">0.983</td>
</tr>
<tr>
<td align="left">&#x02002; Forward digit span</td>
<td align="center">8.5 &#x000B1; 2.9</td>
<td align="center">8.9 &#x000B1; 2.8</td>
<td align="center">0.253</td>
</tr>
<tr>
<td align="left">&#x02002; Backward digit span</td>
<td align="center">4.2 &#x000B1; 1.9</td>
<td align="center">4.4 &#x000B1; 2.0</td>
<td align="center">0.415</td>
</tr>
<tr>
<td align="left">&#x02002; Verbal fluency</td>
<td align="center">7.2 &#x000B1; 3.1</td>
<td align="center">7.4 &#x000B1; 2.8</td>
<td align="center">0.696</td>
</tr>
<tr>
<td align="left">&#x02002; Boston Naming</td>
<td align="center">11.0 &#x000B1; 2.7</td>
<td align="center">11.3 &#x000B1; 2.4</td>
<td align="center">0.367</td>
</tr>
<tr>
<td align="left">&#x02002; Trail Making, seconds</td>
<td align="center">145.7 &#x000B1; 96.1</td>
<td align="center">140.7 &#x000B1; 93.7</td>
<td align="center">0.715</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>APOE, apolipoprotein E; MMSE, Mini-Mental State Examination</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Associations of rs2298813 and rs1784933 with regional cortical thickness and gray matter volume</title>
<p>The correlations of the genotype of rs2298813 and rs1784933 with regional gray matter volumes or regional cortical thickness in AD-related brain regions and other brain regions are shown in <xref ref-type="table" rid="T2">Tables s 2</xref>, <xref ref-type="table" rid="T3">3</xref>, respectively. The genotype of rs2298813 was not associated with any of the AD-related brain regions (<xref ref-type="table" rid="T2">2</xref>). Among other brain regions, there were significant partial correlations of volumes in the right putamen and right pallidum with the genotype of rs2298813; the homozygous major allele was associated with larger volumes in the two regions (<xref ref-type="fig" rid="F1">Figure 1</xref>, <xref ref-type="table" rid="T3">Table 3</xref>). With respect to rs1784933, there was no association with any of the brain regions.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Volumetric comparison of the right putamen <bold>(A)</bold> and right pallidum <bold>(B)</bold> between the homozygous major allele carriers and minor allele carriers of rs2298813.</p></caption>
<graphic xlink:href="fnagi-14-885090-g0001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption><p>Associations of homozygous major allele carriers of rs2298813 and rs1784933 with regional cortical thickness/gray matter volume in Alzheimer&#x02019;s disease (AD)-related brain regions.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" colspan="3">rs2298813</th>
<th align="center" colspan="3">rs1784933</th>
</tr>
<tr>
<th align="center" colspan="1">AD-related brain regions</th>
<th align="center" colspan="1"><italic>r</italic></th>
<th align="center" colspan="1"><italic>p</italic></th>
<th align="center" colspan="1"><italic>p</italic><sub>c</sub></th>
<th align="center" colspan="1"><italic>r</italic></th>
<th align="center" colspan="1"><italic>p</italic></th>
<th align="center" colspan="1"><italic>p</italic><sub>c</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Gray matter volume</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left">&#x02002; Right hippocampus</td>
<td align="center">0.062</td>
<td align="center">0.392</td>
<td align="center">0.784</td>
<td align="center">0.096</td>
<td align="center">0.181</td>
<td align="center">0.362</td>
</tr>
<tr>
<td align="left">&#x02002; Left hippocampus</td>
<td align="center">0.056</td>
<td align="center">0.441</td>
<td align="center">0.441</td>
<td align="center">0.069</td>
<td align="center">0.338</td>
<td align="center">0.676</td>
</tr>
<tr>
<td align="left">Cortical thickness</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left">&#x02002; Right parahippocampal gyrus</td>
<td align="center">0.122</td>
<td align="center">0.0874</td>
<td align="center">0.350</td>
<td align="center">&#x02212;0.007</td>
<td align="center">0.921</td>
<td align="center">0.921</td>
</tr>
<tr>
<td align="left">&#x02002; Left parahippocampal gyrus</td>
<td align="center">0.162</td>
<td align="center">0.0231</td>
<td align="center">0.185</td>
<td align="center">&#x02212;0.040</td>
<td align="center">0.574</td>
<td align="center">0.765</td>
</tr>
<tr>
<td align="left">&#x02002; Right posterior cingulate gyrus</td>
<td align="center">0.047</td>
<td align="center">0.517</td>
<td align="center">1.000</td>
<td align="center">0.087</td>
<td align="center">0.224</td>
<td align="center">0.896</td>
</tr>
<tr>
<td align="left">&#x02002; Left posterior cingulate gyrus</td>
<td align="center">&#x02212;0.040</td>
<td align="center">0.582</td>
<td align="center">0.931</td>
<td align="center">&#x02212;0.051</td>
<td align="center">0.478</td>
<td align="center">0.765</td>
</tr>
<tr>
<td align="left">&#x02002; Right middle temporal gyrus</td>
<td align="center">&#x02212;0.080</td>
<td align="center">0.263</td>
<td align="center">0.701</td>
<td align="center">&#x02212;0.121</td>
<td align="center">0.0898</td>
<td align="center">0.718</td>
</tr>
<tr>
<td align="left">&#x02002; Left middle temporal gyrus</td>
<td align="center">&#x02212;0.032</td>
<td align="center">0.652</td>
<td align="center">0.869</td>
<td align="center">&#x02212;0.073</td>
<td align="center">0.311</td>
<td align="center">0.622</td>
</tr>
<tr>
<td align="left">&#x02002; Right entorhinal cortex</td>
<td align="center">0.017</td>
<td align="center">0.810</td>
<td align="center">0.926</td>
<td align="center">&#x02212;0.074</td>
<td align="center">0.301</td>
<td align="center">0.803</td>
</tr>
<tr>
<td align="left">&#x02002;Left entorhinal cortex</td>
<td align="center">0.016</td>
<td align="center">0.820</td>
<td align="center">0.820</td>
<td align="center">&#x02212;0.030</td>
<td align="center">0.681</td>
<td align="center">0.778</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>r, partial correlation coefficient</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption><p>Associations of homozygous major allele carriers of rs2298813 and rs1784933 with regional cortical thickness/gray matter volume in other brain regions.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center">rs2298813</th>
<th align="center"><italic>r</italic></th>
<th align="center"><italic>p</italic></th>
<th align="center"><italic>p</italic><sub>c</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Gray matter volume</bold></td>
</tr>
<tr>
<td align="left">&#x02002; Right putamen</td>
<td align="center">&#x02212;0.217</td>
<td align="center">0.00233</td>
<td align="center">0.0442</td>
</tr>
<tr>
<td align="left">&#x02002; Right pallidum</td>
<td align="center">&#x02212;0.207</td>
<td align="center">0.00364</td>
<td align="center">0.0346</td>
</tr>
<tr>
<th align="center">rs1784933</th>
<th align="center"><italic>r</italic></th>
<th align="center"><italic>p</italic></th>
<th align="center"><italic>p</italic><sub>c</sub></th>
</tr>
<tr>
<td align="left"><bold>Cortical thickness</bold></td>
</tr>
<tr>
<td align="left">&#x02002; Right superior temporal gyrus</td>
<td align="center">&#x02212;0.171</td>
<td align="center">0.0163</td>
<td align="center">0.978</td>
</tr>
<tr>
<td align="left">&#x02002; Right postcentral gyrus</td>
<td align="center">&#x02212;0.154</td>
<td align="center">0.0307</td>
<td align="center">0.921</td>
</tr>
<tr>
<td align="left">&#x02002; Right pars triangularis</td>
<td align="center">&#x02212;0.149</td>
<td align="center">0.0370</td>
<td align="center">0.740</td>
</tr>
<tr>
<td align="left">&#x02002; Left precentral gyrus</td>
<td align="center">&#x02212;0.144</td>
<td align="center">0.0444</td>
<td align="center">0.666</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>r, partial correlation coefficient</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Associations of the right lentiform nucleus with cognitive test performance in the homozygous major allele carriers and minor allele carriers of rs2298813</title>
<p>The associations between the right lentiform nucleus and cognitive test performance for the homozygous major allele carriers and minor allele carriers of rs2298813 are shown in <xref ref-type="table" rid="T4">Table 4</xref>. Among the homozygous major allele carriers, the right putaminal volume was significantly related to verbal fluency (<italic>p</italic> = 008). At follow-up, the volumes in the right putamen and right pallidum at baseline were positively related to the change in MMSE scores (partial <italic>r</italic> = 0.181, <italic>p</italic> = 0.056 for the right putamen; partial <italic>r</italic> = 0.192, <italic>p</italic> = 0.042 for the right pallidum, <xref ref-type="table" rid="T5">Table 5</xref>). Logistic regression revealed that lower volumes in both the right putamen (<italic>p</italic> = 0.020) and the right pallidum (<italic>p</italic> = 0.013) were predictive of clinical progression at follow-up (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<p>Among the minor allele carriers, the volumes of the right putamen and the right pallidum were not associated with any of the cognitive test performance (<xref ref-type="table" rid="T4">Table 4</xref>). At follow-up, neither the right putaminal volume nor the right pallidal volume was associated with the change in MMSE scores (partial <italic>r</italic> = 0.043, <italic>p</italic> = 0.814 for the right putamen; partial <italic>r</italic> = -0.138, <italic>p</italic> = 0.444 for the right pallidum) or clinical progression (<italic>p</italic> = 0.791 for the right putamen, <italic>p</italic> = 0.191 for the right pallidum, <xref ref-type="table" rid="T5">Table 5</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption><p>Associations of the volume of the right lentiform nucleus with cognitive test performance in homozygous major allele carriers (<italic>n</italic> = 146) and minor allele carriers (<italic>n</italic> = 54) of rs2298813.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" colspan="4">Homozygous major allele</th>
<th align="center" colspan="4">Minor allele</th>
</tr>
<tr>
<td/>
<th align="center" colspan="2">Right putamen</th>
<th align="center" colspan="2">Right pallidum</th>
<th align="center" colspan="2">Right putamen</th>
<th align="center" colspan="2">Right pallidum</th>
</tr>
<tr>
<td/>
<th align="center">r</th>
<th align="center">p</th>
<th align="center">r</th>
<th align="center">p</th>
<th align="center">r</th>
<th align="center">p</th>
<th align="center">r</th>
<th align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">MMSE</td>
<td align="center">0.161</td>
<td align="center">0.056</td>
<td align="center">0.061</td>
<td align="center">0.473</td>
<td align="center">0.151</td>
<td align="center">0.302</td>
<td align="center">0.131</td>
<td align="center">0.371</td>
</tr>
<tr>
<td align="left">12-item word recall</td>
<td align="center">0.088</td>
<td align="center">0.299</td>
<td align="center">0.020</td>
<td align="center">0.815</td>
<td align="center">&#x02212;0.149</td>
<td align="center">0.311</td>
<td align="center">&#x02212;0.093</td>
<td align="center">0.529</td>
</tr>
<tr>
<td align="left">Forward digit span</td>
<td align="center">0.121</td>
<td align="center">0.152</td>
<td align="center">&#x02212;0.030</td>
<td align="center">0.723</td>
<td align="center">0.239</td>
<td align="center">0.098</td>
<td align="center">0.223</td>
<td align="center">0.123</td>
</tr>
<tr>
<td align="left">Backward digit span</td>
<td align="center">0.013</td>
<td align="center">0.878</td>
<td align="center">0.016</td>
<td align="center">0.847</td>
<td align="center">0.098</td>
<td align="center">0.501</td>
<td align="center">0.186</td>
<td align="center">0.201</td>
</tr>
<tr>
<td align="left">Verbal fluency</td>
<td align="center">0.224</td>
<td align="center">0.008</td>
<td align="center">0.058</td>
<td align="center">0.494</td>
<td align="center">0.037</td>
<td align="center">0.802</td>
<td align="center">0.057</td>
<td align="center">0.696</td>
</tr>
<tr>
<td align="left">Boston Naming</td>
<td align="center">0.100</td>
<td align="center">0.238</td>
<td align="center">0.092</td>
<td align="center">0.276</td>
<td align="center">0.159</td>
<td align="center">0.276</td>
<td align="center">0.209</td>
<td align="center">0.149</td>
</tr>
<tr>
<td align="left">Trail Making</td>
<td align="center">&#x02212;0.146</td>
<td align="center">0.090</td>
<td align="center">0.009</td>
<td align="center">0.916</td>
<td align="center">&#x02212;0.121</td>
<td align="center">0.435</td>
<td align="center">&#x02212;0.086</td>
<td align="center">0.578</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MMSE, Mini-Mental State Examination; r, partial correlation coefficient</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table 5</label>
<caption><p>Associations of the volumes of th right lentiform nucleus at baseline with clinical progression and MMSE changes at follow-up in homozygous major allele carriers (<italic>n</italic> = 118) and minor allele carriers (<italic>n</italic> = 38) of rs2298813.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" colspan="2">Homozygous major allele</th>
<th align="center" colspan="2">Minor allele</th>
</tr>
<tr>
<th align="center">Clinical progression</th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
<th align="center">OR (95% CI)</th>
<th align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Right putaminal volume (mm<sup>3</sup>)</td>
<td align="center">0.999 (0.998&#x02013;1.000)</td>
<td align="center">0.020</td>
<td align="center">1.000 (0.999&#x02013;1.001)</td>
<td align="center">0.791</td>
</tr>
<tr>
<td align="left">Right pallidal volume (mm<sup>3</sup>)</td>
<td align="center">0.997 (0.994&#x02013;0.999)</td>
<td align="center">0.013</td>
<td align="center">1.003 (0.998&#x02013;1.009)</td>
<td align="center">0.191</td>
</tr>
<tr>
<td align="center">MMSE changes at follow-up</td>
<td align="center">Standardized &#x003B2;</td>
<td align="center"><italic>p</italic></td>
<td align="center">Standardized &#x003B2;</td>
<td align="center"><italic>p</italic></td>
</tr>
<tr>
<td align="left">Right putaminal volume (mm<sup>3</sup>)</td>
<td align="center">0.188</td>
<td align="center">0.056</td>
<td align="center">&#x02212;0.041</td>
<td align="center">0.814</td>
</tr>
<tr>
<td align="left">Right pallidal volume (mm<sup>3</sup>)</td>
<td align="center">0.211</td>
<td align="center">0.042</td>
<td align="center">&#x02212;0.179</td>
<td align="center">0.444</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CI, confidence interval; MMSE, Mini-Mental State Examination; OR, odds ratio</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>We found that the volume of the right lentiform nucleus differed between the homozygous major allele carriers of rs2298813 and the minor allele carriers in late-onset AD patients. With respect to rs1784933, there were no neuroimaging correlates of the genotype. Among the homozygous major allele carriers of rs2298813, there was an association between right putaminal volume and verbal fluency performance, and the right putaminal and right pallidal volumes were predictive of clinical progression. On the contrary, the minor allele carriers of rs2298813 had a smaller volume of the right lentiform nucleus and a higher cognitive fluctuation score. However, the right putaminal and right pallidal volumes were not related to neurocognitive test performance nor predictive of clinical progression among these patients. It appeared that the major and minor alleles of rs2298813 had differential effects on the volume of the right lentiform nucleus and differentially modulated the association between the right lentiform nucleus and cognitive function.</p>
<p>The earliest associations between rs2298813 and rs1784933 and brain atrophy were delineated in a collection of autopsied AD brains (Cuenco et al., <xref ref-type="bibr" rid="B32">2008</xref>). The 3-SNP haplotypes containing the rs1784933 region were related to pathological scoring and MRI traits of hippocampal atrophy in white AD patients, whereas no significant associations were identified for rs2298813 (Cuenco et al., <xref ref-type="bibr" rid="B32">2008</xref>). In an Australian cohort, a 3-SNP haplotype containing rs2298813 was associated with whole brain atrophy in both males and females, but rs2298813 was not individually associated with brain atrophy (Assareh et al., <xref ref-type="bibr" rid="B5">2014</xref>). A study using the Alzheimer&#x02019;s Disease Neuroimaging Initiative database investigated the effect of eight <italic>SORL1</italic> SNPs, including rs2298813 and rs1784933, on AD-related brain atrophy in subjects with normal cognition or mild cognitive impairment (MCI) (Yin et al., <xref ref-type="bibr" rid="B65">2016</xref>). The A allele of rs2298813 tended to be associated with a lower volume in the right parahippocampal gyrus, and the G allele of rs1784933 was found to be associated with a higher rate of atrophy in the right parahippocampal gyrus across a 2-year span (Yin et al., <xref ref-type="bibr" rid="B65">2016</xref>). In a young healthy Caucasian population, 117SNPs in and surrounding <italic>SORL1</italic> were examined to determine any association with hippocampal volume, and the majority of significant associations occurred at the 3&#x02019; region, where rs1784933 is located (Bralten et al., <xref ref-type="bibr" rid="B10">2011</xref>). The discrepancy in the relationship between rs2298813/rs1784933 and brain atrophy may lie in ethnic differences (Jin et al., <xref ref-type="bibr" rid="B31">2013</xref>) and the small effect of a single SNP that may be better demonstrated in quantitative measurement of brain volume or in haplotype analysis.</p>
<p>The putamen and pallidum (forming the lentiform nucleus) are essential elements of the extrapyramidal system and are usually involved in motor disturbances, such as Parkinsonism or Huntington&#x02019;s disease (Albin et al., <xref ref-type="bibr" rid="B1">1989</xref>). Although not included among the typical AD-related brain structures, numerous studies have disclosed an association of these regions with AD. The volume of the putamen has been shown to be reduced in AD brains relative to subjects with MCI or normal aging (De Jong et al., <xref ref-type="bibr" rid="B17">2008</xref>; Roh et al., <xref ref-type="bibr" rid="B51">2011</xref>; Cho et al., <xref ref-type="bibr" rid="B13">2014</xref>; Tang et al., <xref ref-type="bibr" rid="B56">2014</xref>; Eustache et al., <xref ref-type="bibr" rid="B18">2016</xref>; Pini et al., <xref ref-type="bibr" rid="B46">2016</xref>). Such reductions can occur as early as in the prodromal stage (Eustache et al., <xref ref-type="bibr" rid="B18">2016</xref>). Atrophy in the pallidum has not been consistently observed in previous studies (Cho et al., <xref ref-type="bibr" rid="B13">2014</xref>; Pini et al., <xref ref-type="bibr" rid="B46">2016</xref>). The pallidum is relatively resistant to degeneration even in moderate stages of the disease (Roh et al., <xref ref-type="bibr" rid="B51">2011</xref>) although mild atrophy may be observed (Li et al., <xref ref-type="bibr" rid="B36">2013</xref>; Tang et al., <xref ref-type="bibr" rid="B56">2014</xref>; Wang et al., <xref ref-type="bibr" rid="B60">2018</xref>). AD pathology has been demonstrated to deposit heavily in the putamen and less in the pallidum (Braak and Braak, <xref ref-type="bibr" rid="B9">1990</xref>). Similarly, iron detection using MR techniques (quantitative susceptibility mapping or phase imaging) has revealed iron accumulation in the putamen and pallidum (Bartzokis et al., <xref ref-type="bibr" rid="B8">2000</xref>; Cogswell et al., <xref ref-type="bibr" rid="B15">2021</xref>), which was associated with higher amyloid PET standardized uptake value ratios (Cogswell et al., <xref ref-type="bibr" rid="B15">2021</xref>). The association of putaminal or pallidal atrophy with common variants of <italic>SORL1</italic> has not been previously specified in AD patients. The most relevant study was conducted by Huang et al. investigating the effect of rs3824968 on gray matter volume in a nondemented Chinese population across a wide age span (Huang et al., <xref ref-type="bibr" rid="B28">2016</xref>). Participants carrying the A allele had accelerated atrophy with age in the right putamen (Huang et al., <xref ref-type="bibr" rid="B28">2016</xref>). Thus, we are the first to identify a link between putaminal/pallidal atrophy and <italic>SORL1</italic> polymorphisms in AD.</p>
<p>The putamen and pallidum also have functions related to cognition. In patients with Parkinson&#x02019;s disease, deep brain stimulation of the pallidum has been shown to improve verbal fluency. (Lee et al., <xref ref-type="bibr" rid="B34">2018</xref>) In human immunodeficiency virus-associated neurocognitive impairment, there was an association between cognitive impairment and putaminal volume (Qi et al., <xref ref-type="bibr" rid="B47">2021</xref>). Among patients with behavioral variant frontotemporal dementia, there is a relationship between atrophy in the putamen and the theory of mind impairment (Baez et al., <xref ref-type="bibr" rid="B6">2019</xref>). In support of this, in our study, relationships between both verbal fluency and the annual rate of changes in MMSE scores and right putaminal volume were observed in the homozygous major allele carriers of rs2298813. In contrast, there were no significant associations between right putaminal/right pallidal volumes and cognitive test performance or clinical progression in the minor allele carriers even though the right lentiform nucleus was smaller in these patients. This may suggest that in this subgroup of patients, atrophy in the right lentiform nucleus did not have a deleterious impact on cognitive function. The atrophy may, for example, have more effect on motor function. Further study is needed to elucidate the phenotypic effect of regional atrophy in the right lentiform nucleus in the minor allele carriers of rs2298813.</p>
<p>The link between rs2298813 and the lentiform nucleus volume may provide a pathophysiological basis for the association between AD and parkinsonism. Indeed, Parkinsonism is not uncommon in AD. Extrapyramidal signs can be detected in one-third of AD patients during the course of the disease (Scarmeas et al., <xref ref-type="bibr" rid="B52">2004</xref>), and Parkinsonian features are related to neuronal loss in the substantia nigra and putamen (Horvath et al., <xref ref-type="bibr" rid="B26">2014</xref>). A previous study reported that three out of four patients with late-onset AD with Parkinsonism carried the A allele of rs2298813 (Cuccaro et al., <xref ref-type="bibr" rid="B16">2016</xref>). In a case report, 4 AD patients with Parkinsonism and psychiatric symptoms were found to have novel mutations in <italic>SORL1</italic>, with two mutations at the VPS10P region, where rs2298813 is located (Qiu et al., <xref ref-type="bibr" rid="B48">2021</xref>). Our minor allele carriers also had higher scores on the Mayo fluctuation scale, implying a link with features of Lewy body dementia. Moreover, the minor allele of rs2298813 has been found to increase the risk of developing dementia in patients with Parkinson&#x02019;s disease (Maple-Grodem et al., <xref ref-type="bibr" rid="B42">2018</xref>). In the northern Chinese population, rs2298813 was associated with an increased risk of Parkinson&#x02019;s disease (Wang et al., <xref ref-type="bibr" rid="B61">2022</xref>). In addition to its involvement in the APP pathway, SORLA also mediates the trophic pathway involving glial cell line-derived neurotrophic factor (Glerup et al., <xref ref-type="bibr" rid="B23">2013</xref>), the absence of which could lead to the loss of dopaminergic neurons (Lin et al., <xref ref-type="bibr" rid="B38">1993</xref>).</p>
<p>There were several limitations of the current study. First, we did not systemically qualify and quantify the motor symptoms in these patients. Therefore, the postulated relationship between atrophy in the putamen and pallidum and pyramidal/extrapyramidal symptoms warrants further study. Second, these patients were followed up for an average of 2 years, so a longer follow-up duration may better confirm the cognitive or motor effects of the volumetric changes in the putamen and pallidum. Third, the sample size is much smaller in the minor allele carrier of rs2298813, so the absence of an association with cognitive test performance may be a consequence of low power. The inclusion of more patients with this genotype would help to confirm our findings.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>The volume of the right lentiform nucleus was associated with cognitive function and clinical progression in late-onset AD patients with the homozygous major allele of rs2298813. Whereas, among the minor allele carriers, the volume of the right lentiform nucleus was smaller, and was not associated with cognitive function or clinical progression.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the institutional review boards of Taipei Veterans General Hospital (IRB number 2012-05-033B). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>C-YC wrote the manuscript. J-LF, C-YC, Y-CL, and W-JL contributed to the study concept and design. C-YC, Y-SL, W-JL, AY, and J-LF contributed to analysis and interpretation of data. Y-SL, W-JL, Y-SK, and J-LF contributed to acquisition of data. W-JL, Y-CL, and J-LF revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This study was supported by grants from the National Health Research Institutes, Taiwan (NHRI-11A1-CG-CO-05-2225-1), the Ministry of Science and Technology, Taiwan (MOST 109-2314-B-075-052-MY2, 110-2321-B-001-011-, 110-2321-B-A49A-502-, 110-2634-F-A49-005-), Taipei Veterans General Hospital (V110C-057, VGHUST110-G1-5-1, V111C-216) and the Brain Research Center, National Yang Ming Chiao Tung University from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.</p>
</sec>
</body>
<back>
<ack>
<p>We thank Dr. Judy Pa and Vahan Aslanyan for their suggestions regarding the imaging preprocessing and acknowledge all neuropsychological assessors and patients for their cooperation.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<title>Publisher&#x02019;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>
<glossary>
<def-list>
<title>ABBREVIATIONS</title>
<def-item><term>A&#x003B2;</term><def><p>amyloid-beta</p></def></def-item> 
<def-item><term>AD</term><def><p>Alzheimer&#x02019;s disease</p></def></def-item> 
<def-item><term>APOE</term><def><p>apolipoprotein E</p></def></def-item>
<def-item><term>APP</term><def><p>amyloid beta precursor protein (APP)</p></def></def-item> 
<def-item><term>MCI</term><def><p>mild cognitive impairment</p></def></def-item> 
<def-item><term>MMSE</term><def><p>Mini-Mental State Examination</p></def></def-item> 
<def-item><term>MR</term><def><p>magnetic resonance</p></def></def-item>
<def-item><term>SNP</term><def><p>single-nucleotide polymorphism</p></def></def-item> 
<def-item><term>SORL1</term><def><p>sortilin-related receptor 1</p></def></def-item> 
<def-item><term>SORLA</term><def><p>sorting-related receptor with type-A repeats</p></def></def-item> 
<def-item><term>VPS10P</term><def><p>vacuolar protein sorting 10 protein.</p></def></def-item>
</def-list>
</glossary>
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<fn id="fn0001"><p><sup>1</sup><ext-link ext-link-type="uri" xlink:href="http://surfer.nmr.mgh.harvard.edu/">http://surfer.nmr.mgh.harvard.edu/</ext-link></p></fn>
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