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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.2016.00297</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Parahippocampal Cortex Mediates the Relationship between Lutein and Crystallized Intelligence in Healthy, Older Adults</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zamroziewicz</surname> <given-names>Marta K.</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="http://loop.frontiersin.org/people/223474/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Paul</surname> <given-names>Erick J.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/80414/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zwilling</surname> <given-names>Chris E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Johnson</surname> <given-names>Elizabeth J.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/267413/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kuchan</surname> <given-names>Matthew J.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cohen</surname> <given-names>Neal J.</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="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Barbey</surname> <given-names>Aron K.</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>
<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>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/20101/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Decision Neuroscience Laboratory, University of Illinois Urbana-Champaign</institution> <country>Urbana, IL, USA</country></aff>
<aff id="aff2"><sup>2</sup><institution>Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign</institution> <country>Urbana, IL, USA</country></aff>
<aff id="aff3"><sup>3</sup><institution>Neuroscience Program, University of Illinois Urbana-Champaign</institution> <country>Urbana, IL, USA</country></aff>
<aff id="aff4"><sup>4</sup><institution>Jean Mayer USDA Human Nutrition Center on Aging, Tufts University</institution> <country>Boston, MA USA</country></aff>
<aff id="aff5"><sup>5</sup><institution>Research, Scientific and Medical Affairs, Abbott Nutrition</institution> <country>Columbus, OH, USA</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Psychology, University of Illinois Urbana-Champaign</institution> <country>Urbana, IL, USA</country></aff>
<aff id="aff7"><sup>7</sup><institution>Carle Neuroscience Institute, Carle Foundation Hospital</institution> <country>Urbana, IL, USA</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Internal Medicine, University of Illinois Urbana-Champaign</institution> <country>Urbana, IL, USA</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Speech and Hearing Science, University of Illinois Urbana-Champaign</institution> <country>Urbana, IL, USA</country></aff>
<aff id="aff10"><sup>10</sup><institution>Institute for Genomic Biology, University of Illinois Urbana-Champaign</institution> <country>Champaign, IL, USA</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Rodrigo Orlando Kulji&#x00161;, University of Miami School of Medicine, USA</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Christian Gonzalez-Billault, University of Chile, Chile; Neha Sehgal, Wisconsin Institute for Discovery, USA</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Aron K. Barbey <email>barbey&#x00040;illinois.edu</email>; <ext-link ext-link-type="uri" xlink:href="http://www.DecisionNeuroscienceLab.org">http://www.DecisionNeuroscienceLab.org</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>12</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>8</volume>
<elocation-id>297</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>07</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>11</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Zamroziewicz, Paul, Zwilling, Johnson, Kuchan, Cohen and Barbey.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Zamroziewicz, Paul, Zwilling, Johnson, Kuchan, Cohen and Barbey</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) or licensor 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> Although, diet has a substantial influence on the aging brain, the relationship between dietary nutrients and aspects of brain health remains unclear. This study examines the neural mechanisms that mediate the relationship between a carotenoid important for brain health across the lifespan, lutein, and crystallized intelligence in cognitively intact older adults. We hypothesized that higher serum levels of lutein are associated with better performance on a task of crystallized intelligence, and that this relationship is mediated by gray matter structure of regions within the temporal cortex. This investigation aims to contribute to a growing line of evidence, which suggests that particular nutrients may slow or prevent aspects of cognitive decline by targeting specific features of brain aging.</p>
<p><bold>Methods:</bold> We examined 76 cognitively intact adults between the ages of 65 and 75 to investigate the relationship between serum lutein, tests of crystallized intelligence (measured by the Wechsler Abbreviated Scale of Intelligence), and gray matter volume of regions within the temporal cortex. A three-step mediation analysis was implemented using multivariate linear regressions to control for age, sex, education, income, depression status, and body mass index.</p>
<p><bold>Results:</bold> The mediation analysis revealed that gray matter thickness of one region within the temporal cortex, the right parahippocampal cortex (Brodmann&#x00027;s Area 34), partially mediates the relationship between serum lutein and crystallized intelligence.</p>
<p><bold>Conclusion:</bold> These results suggest that the parahippocampal cortex acts as a mediator of the relationship between serum lutein and crystallized intelligence in cognitively intact older adults. Prior findings substantiate the individual relationships reported within the mediation, specifically the links between (i) serum lutein and temporal cortex structure, (ii) serum lutein and crystallized intelligence, and (iii) parahippocampal cortex structure and crystallized intelligence. This report demonstrates a novel structural mediation between lutein status and crystallized intelligence, and therefore provides further evidence that specific nutrients may slow or prevent features of cognitive decline by hindering particular aspects of brain aging. Future work should examine the potential mechanisms underlying this mediation, including the antioxidant, anti-inflammatory, and membrane modulating properties of lutein.</p>
</abstract>
<kwd-group>
<kwd>lutein</kwd>
<kwd>parahippocampal cortex</kwd>
<kwd>crystallized intelligence</kwd>
<kwd>cognitive aging</kwd>
<kwd>nutritional cognitive neuroscience</kwd>
</kwd-group>
<contract-sponsor id="cn001">University of Illinois<named-content content-type="fundref-id">10.13039/100010443</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="67"/>
<page-count count="9"/>
<word-count count="6806"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>As the older adult population expands, the economic burden of care and treatment of age-related health disorders also rises. Between 2015 and 2060, the United States will experience significant growth of its older population, with the size of the population aged 65 and over more than doubling from an estimated 46 million in 2015 to 98 million in 2060 (Mather et al., <xref ref-type="bibr" rid="B39">2015</xref>). Therefore, successful strategies to promote healthy brain aging are of significant interest to public health initiatives in the United States.</p>
<p>Nutrition is a promising target for intervention efforts to support healthy brain aging (Zamroziewicz and Barbey, <xref ref-type="bibr" rid="B65">2016</xref>). Accumulating evidence indicates that particular nutrients may slow or prevent aspects of age-related cognitive decline by targeting specific features of brain aging. Studies that couple neuroimaging techniques with neuropsychological testing provide insight into mechanisms of action through which particular nutrients might influence specific aspects of age-related cognitive decline (Bowman et al., <xref ref-type="bibr" rid="B5">2012</xref>; Zamroziewicz et al., <xref ref-type="bibr" rid="B66">2015</xref>; Boespflug et al., <xref ref-type="bibr" rid="B3">2016</xref>; Gu et al., <xref ref-type="bibr" rid="B25">2016</xref>). While some nutrients may be effective at preventing late-life changes in the brain, other nutritional factors may accumulate across the lifespan and therefore confer neuroprotection in the aging brain (S&#x000F6;derberg et al., <xref ref-type="bibr" rid="B54">1990</xref>; Coyle and Puttfarcken, <xref ref-type="bibr" rid="B9">1993</xref>). Identifying the mechanisms through which nutrients provide neuroprotective effects will help guide the development of successful lifelong dietary strategies for healthy brain aging.</p>
<p>Carotenoids are naturally occurring pigments made by plants, and can only be acquired through the diet (Erdman et al., <xref ref-type="bibr" rid="B14">2015</xref>). Xanthophylls are a subclass of carotenoids, which have a polar molecular structure and therefore possess unique membrane-spanning properties (Erdman et al., <xref ref-type="bibr" rid="B14">2015</xref>; Widomska et al., <xref ref-type="bibr" rid="B64">2016</xref>). As compared to the other dietary carotenoids, xanthophylls preferentially accumulate in neural tissue, with lutein accounting for the majority of carotenoid accumulation in the brain (Craft et al., <xref ref-type="bibr" rid="B10">2004</xref>; Johnson, <xref ref-type="bibr" rid="B30">2012</xref>; Johnson et al., <xref ref-type="bibr" rid="B33">2013</xref>; Li et al., <xref ref-type="bibr" rid="B37">2014</xref>; Vishwanathan et al., <xref ref-type="bibr" rid="B58">2014b</xref>; Widomska et al., <xref ref-type="bibr" rid="B64">2016</xref>). As the most prevalent carotenoid in the brain, lutein is thought provide a variety of neuroprotective benefits. Candidate mechanisms of action are primarily based on the unique membrane spanning properties of lutein and include influencing membrane properties, such as fluidity, interneuronal communication via gap junctions, ion exchange, oxygen diffusion, membrane stability, and preventing oxidation and inflammation (Stahl and Sies, <xref ref-type="bibr" rid="B55">1996</xref>, <xref ref-type="bibr" rid="B56">2001</xref>; Paiva and Russell, <xref ref-type="bibr" rid="B43">1999</xref>; Krinsky, <xref ref-type="bibr" rid="B36">2002</xref>; Izumi-Nagai et al., <xref ref-type="bibr" rid="B28">2007</xref>; Johnson, <xref ref-type="bibr" rid="B31">2014</xref>; Widomska and Subczynski, <xref ref-type="bibr" rid="B63">2014</xref>; Erdman et al., <xref ref-type="bibr" rid="B14">2015</xref>). Lutein accretes in the brain across the entire lifespan, and may therefore contribute to brain health in a lifelong manner (Renzi et al., <xref ref-type="bibr" rid="B47">2014</xref>; Bovier and Hammond, <xref ref-type="bibr" rid="B4">2015</xref>; Lieblein-Boff et al., <xref ref-type="bibr" rid="B38">2015</xref>). Notably, lutein is selectively distributed in gray matter, and has been detected in the prefrontal cortex, the temporal cortex, and the hippocampus (Craft et al., <xref ref-type="bibr" rid="B10">2004</xref>; Vishwanathan et al., <xref ref-type="bibr" rid="B58">2014b</xref>). Blood levels of lutein correlate with brain concentrations of lutein in older adults, suggesting that blood concentrations can serve a measure of lutein status in the brain (Johnson et al., <xref ref-type="bibr" rid="B33">2013</xref>).</p>
<p>Lutein status has been linked to cognitive performance across the lifespan (Feeney et al., <xref ref-type="bibr" rid="B15">2013</xref>; Johnson et al., <xref ref-type="bibr" rid="B33">2013</xref>; Renzi et al., <xref ref-type="bibr" rid="B47">2014</xref>; Vishwanathan et al., <xref ref-type="bibr" rid="B57">2014a</xref>; Bovier and Hammond, <xref ref-type="bibr" rid="B4">2015</xref>). Of particular interest, lutein levels have been linked to memory and general intelligence (Feeney et al., <xref ref-type="bibr" rid="B15">2013</xref>; Johnson et al., <xref ref-type="bibr" rid="B33">2013</xref>; Vishwanathan et al., <xref ref-type="bibr" rid="B57">2014a</xref>), which are cognitive constructs closely related to crystallized intelligence. Crystallized intelligence refers to the ability to retrieve and use information that has been acquired throughout life (Horn and Cattell, <xref ref-type="bibr" rid="B27">1966</xref>). Although most aspects of cognitive function undergo age-related decline, certain aspects of cognition&#x02014;like crystallized intelligence&#x02014;are spared and even show improvement with age (Craik and Bialystok, <xref ref-type="bibr" rid="B11">2006</xref>; Park and Reuter-Lorenz, <xref ref-type="bibr" rid="B44">2009</xref>). Measuring crystallized intelligence may therefore be a way to assess the lifelong impact of nutritional factors, rather than the immediate effects of nutrients on preventing age-related decline (Craik and Bialystok, <xref ref-type="bibr" rid="B11">2006</xref>).</p>
<p>Crystallized intelligence is dependent upon the temporal cortex, and particular regions of the temporal cortex may play key roles in implementing this cognitive function (Colom et al., <xref ref-type="bibr" rid="B8">2009</xref>; Barbey et al., <xref ref-type="bibr" rid="B2">2012</xref>). In general, structural integrity of the temporal cortex is associated with performance on tasks of crystallized intelligence, but integrity of specific regions within the temporal cortex may underlie the preservation of this cognitive function in aging (Choi et al., <xref ref-type="bibr" rid="B7">2008</xref>). For example, the parahippocampal cortex plays a role in mediating the storage of knowledge about objects (Ricci et al., <xref ref-type="bibr" rid="B50">1999</xref>; Aminoff et al., <xref ref-type="bibr" rid="B1">2013</xref>). This region of the temporal cortex shows resistance to age-related structural decline in the absence of neurodegenerative disease, unlike other regions within the temporal cortex that show significant cortical thinning even in healthy aging (Salat et al., <xref ref-type="bibr" rid="B52">2004</xref>; Jiang et al., <xref ref-type="bibr" rid="B29">2014</xref>). Although the sparing of particular regions within the temporal cortex may be linked to the preservation of crystallized intelligence in healthy aging, the question remains: do particular neuroprotective nutrients like lutein underlie this sparing of cognition and brain health?</p>
<p>In summary, increasing evidence suggests that lutein may be a reliable nutrient biomarker for healthy brain aging: (i) among the carotenoids, lutein accounts for the majority of accumulation in the brain and provides unique neuroprotective benefits, (ii) lutein status has been linked to cognitive performance across the lifespan, and (iii) lutein is selectively distributed in gray matter of brain regions known to underlie the preservation of cognitive function in healthy brain aging. However, the core brain structures upon which lutein may act to preserve cognition have not been investigated. Prior research suggests that lutein plays a neuroprotective role across the lifespan, crystallized intelligence is resistant to age-related decline, and specific regions of the temporal cortex may underlie the preservation of crystallized intelligence. This study aims to explore the role of structures within the temporal cortex in mediating the relationship between serum lutein levels and crystallized intelligence in healthy older adults.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Participants</title>
<p>This cross-sectional study enrolled 122 participants (ages 65&#x02013;75) from Carle Foundation Hospital, a local and readily available cohort of well-characterized older adults. No participants were cognitively impaired, as defined by a score of lower than 26 on the Mini-Mental State Examination (Folstein et al., <xref ref-type="bibr" rid="B23">1975</xref>). Participants with a diagnosis of mild cognitive impairment, dementia, psychiatric illness within the last 3 years, stroke within the past 12 months, and cancer within the last 3 years were excluded. Participants were also excluded for current chemotherapy or radiation, an inability to complete study activities, prior involvement in cognitive training or dietary intervention studies, and contraindications for magnetic resonance imaging (MRI). Of these 122 participants, 76 subjects had a complete dataset at the time of data analysis, including neuropsychological testing, MRI, and serum analysis.</p>
</sec>
<sec>
<title>Standard protocol approval and participant consent</title>
<p>This study was approved by the University of Illinois Institutional Review Board and, in accordance with the stated guidelines, all participants read and signed informed consent documents.</p>
</sec>
<sec>
<title>Serum acquisition and lutein analysis</title>
<p>Serum was prepared for extraction using 100 &#x003BC;L of sample and 0.5 mL 0.9% saline. Echinenone, in ethanol, was added as an internal standard (DSM Nutritional Products). The mixture was extracted by using 2 mL CHCL<sub>3</sub>:CH<sub>3</sub>OH (2:1, vol/vol). The mixture was vortexed and then centrifuged at 800 g for 15 min at 4&#x000B0;C. The CHCl<sub>3</sub> layer was removed and evaporated to dryness under nitrogen. A second extraction was performed on the mixture using 3 mL hexane. The mixture was vortexed and centrifuged as above. The hexane layer was combined with the first extraction and evaporated to dryness under nitrogen. The residue was redissolved in 100 &#x003BC;L of ethanol, vortexed, and sonicated for 30 s. A 20 &#x003BC;L aliquot was used for HPLC analysis.</p>
<p>Lutein was measured using a reversed-phase, gradient HPLC system. The system consisted of a Waters Alliance 2695 Separation Module LC pump, auto-sampler, Waters 2996 Photo-Array Detector (Millipore, Milford, MA) and a semi-bore C30 column (3 &#x003BC;m, 150 &#x000D7; 4.6 mm, YMC, Wilmington, NC). The chromatographic separations were performed on a Waters Alliance 2695 (Millipore, Milford, MA) system using a UV detector and Waters Empower Pro software. The flow rate was 0.4 mL/min and the gradient elution used two mixtures of methanol, tert-butyl methyl ether, and water (mixture A: 83/15/2; v/v/v), mixture B: 8/90/2, v/v/v). The gradient procedure was: 0 to 1 min 100% A, 1 to 8 min linear gradient to 70% A, 8 to 13 min 70% A, 13 to 22 min linear gradient to 45% A, 22 to 24 min 45% A, 24 to 34 min linear gradient to 5% A, 34 to 38 min 5% A, 38 to 40 min linear gradient to 100% A, and 40 to 50 min 100% A.</p>
<p>The method yielded adequate separation of lutein, which was then quantified at 445 nm. Quantification was determined from peak areas in the HPLC chromatograms calibrated against known amounts of standards. Concentrations were corrected for extraction and handling losses by monitoring the recovery of the echinenone internal standard. The lower detection with this method is 0.2 pmol. A composite lutein score was computed by summing across all-<italic>trans</italic> lutein and <italic>cis</italic>-lutein.</p>
</sec>
<sec>
<title>Neuropsychological tests</title>
<p>Crystallized intelligence was measured by the Wechsler Abbreviated Scale of Intelligence&#x02013;second edition (WASI-II) (Wechsler, <xref ref-type="bibr" rid="B62">1999</xref>). This assessment measured crystallized intelligence by way of a verbal comprehension index, which was the product of two subtests: a vocabulary subtest and a similarities subtest. In the vocabulary subtest, participants were asked to verbally define vocabulary words (i.e., What does lamp mean?) that became progressively more challenging. In the similarities subtest, participants were asked to relate pairs of concepts (i.e., How are a cow and bear alike?) that became progressively more challenging. These subtests were compiled into a verbal comprehension index, which provided a measure of acquired knowledge, verbal reasoning, and attention to verbal information, and therefore served as a marker of crystallized intelligence.</p>
</sec>
<sec>
<title>Volumetric brain MRI</title>
<p>Volumetric analysis was performed on data from a 3D high-resolution (0.9 mm isotropic) T1-weighted scan using MPRAGE acquisition. Cortical reconstruction was performed with the Freesurfer image analysis suite, which is documented and freely available for download online (<ext-link ext-link-type="uri" xlink:href="http://surfer.nmr.mgh.harvard.edu/">http://surfer.nmr.mgh.harvard.edu/</ext-link>). The technical details of these procedures are described in prior publications (Dale and Sereno, <xref ref-type="bibr" rid="B13">1993</xref>; Dale et al., <xref ref-type="bibr" rid="B12">1999</xref>; Fischl et al., <xref ref-type="bibr" rid="B21">1999a</xref>,<xref ref-type="bibr" rid="B22">b</xref>, <xref ref-type="bibr" rid="B18">2001</xref>, <xref ref-type="bibr" rid="B19">2002</xref>, <xref ref-type="bibr" rid="B20">2004</xref>; Fischl and Dale, <xref ref-type="bibr" rid="B17">2000</xref>; Fischl, <xref ref-type="bibr" rid="B16">2004</xref>; S&#x000E9;gonne et al., <xref ref-type="bibr" rid="B53">2004</xref>; Han et al., <xref ref-type="bibr" rid="B26">2006</xref>; Jovicich et al., <xref ref-type="bibr" rid="B34">2006</xref>; Reuter et al., <xref ref-type="bibr" rid="B48">2010</xref>, <xref ref-type="bibr" rid="B49">2012</xref>). All cortical reconstructions were manually checked for accuracy, as recommended by the software developers. The volumetric analyses focused on gray matter volume in the temporal cortex provided by Freesurfer parcellation. Regions of interest included the superior temporal cortex, middle temporal cortex, inferior temporal cortex, banks of the superior temporal sulcus, fusiform cortex, transverse temporal cortex, entorhinal cortex, temporal pole, and parahippocampal cortex.</p>
</sec>
<sec>
<title>Covariates</title>
<p>Covariates were included according to previous association with cognitive decline. These included age (continuous), gender (nominal, man/woman), education (nominal, five fixed levels), income (nominal, six fixed levels), body mass index (continuous, hereafter BMI), and depression status (nominal, yes/no). Although all participants had received a diagnosis of no depression at enrollment, the SF-36 Health Survey (Ware et al., <xref ref-type="bibr" rid="B61">1993</xref>) revealed four participants with symptoms consistent with depression, and in accordance with other studies, this was considered in the analysis as a covariate. Temporal cortex gray matter volume (continuous) was also included as a covariate in mediation analyses to assess the relationship between specific regions within the temporal cortex, serum lutein, and crystallized intelligence. These covariates were included in each of the three steps of the mediation analysis.</p>
</sec>
<sec>
<title>Statistical analyses</title>
<p>A formal mediation analysis was used in an effort to better understand the relationship between serum lutein, gray matter volume of regions within the temporal cortex, and crystallized intelligence using a three-step framework. The primary requirement for mediation is a significant indirect mediation effect, Zhao et al. (<xref ref-type="bibr" rid="B67">2010</xref>) defined as the effect of the independent variable (lutein) through the mediator (gray matter volume of regions within the temporal cortex) on the dependent variable (crystallized intelligence) (Figure <xref ref-type="fig" rid="F1">1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>The primary requirement for mediation is a significant indirect mediation effect, defined as the effect of the independent variable (lutein) through the mediator (gray matter volume of regions within the temporal cortex) on the dependent variable (crystallized intelligence)</bold>.</p></caption>
<graphic xlink:href="fnagi-08-00297-g0001.tif"/>
</fig>
<p>Statistics were performed in SPSS Statistical Packages version 23 (SPSS, Inc., Chicago, IL, USA), and mediation analyses were performed using the <italic>indirect</italic> macro designed for SPSS (Preacher and Hayes, <xref ref-type="bibr" rid="B45">2008</xref>). In the first step, a regression model was used to characterize the relationship between serum lutein and gray matter volume of regions within the temporal cortex (path a), controlling for the covariates listed above and applying a false discovery rate (FDR) correction for multiple comparisons (<italic>q</italic> &#x0003C; 0.05, one-tailed). In the second step, a regression model was used to characterize the relationship between serum lutein and crystallized intelligence (path c), controlling for the covariates listed above. In the third step, the <italic>indirect</italic> macro was used to implement the bootstrapping method to estimate mediation effects. This analysis drew 1000 bootstrapped samples with replacement from the dataset to estimate a sampling distribution for the indirect and direct mediation effects, controlling for the covariates listed above. The indirect mediation effect refers to the pathway from serum lutein to gray matter volume of temporal cortex regions to crystallized intelligence (path a to b). The direct mediation effect refers to the direct pathway from serum lutein to crystallized intelligence (path c&#x00027;). A statistically significant full mediation that matches the hypothesized framework is indicated by: (i) an indirect mediation effect that does not include zero within 95% bias-corrected confidence intervals, and (ii) a direct mediation effect that does include zero within 95% bias-corrected confidence intervals. A statistically significant partial mediation, (i.e., the mediation does not account for all possible mediators) is indicated by: (i) an indirect mediation effect that does not include zero within 95% bias-corrected confidence intervals, and (ii) a direct mediation effect that does not include zero within 95% bias-corrected confidence intervals (Zhao et al., <xref ref-type="bibr" rid="B67">2010</xref>). Results are reported using unstandardized regression coefficients (&#x003B2;) and statistical significance (<italic>p</italic>) for each individual regression relationship, and a 95% bias-corrected confidence interval (95% CI) for the direct and indirect effects of the mediation.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Participant characteristics</title>
<p>Participants had a mean age of 69 years and 67 percent of participants were females. The mean lutein level was 454 pmol/mL. The mean MMSE score was 29 and the Wechsler Abbreviated Scale of Intelligence crystallized intelligence score was 111 (Table <xref ref-type="table" rid="T1">1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Characteristics of study population</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Demographics</bold></th>
<th valign="top" align="left"><bold>Total <italic>n</italic> &#x0003D; 76</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years (mean &#x000B1; std; median; range)</td>
<td valign="top" align="left">69 &#x000B1; 3; 69; 65&#x02013;75</td>
</tr>
<tr>
<td valign="top" align="left">Female, n (%)</td>
<td valign="top" align="left">50(67%)</td>
</tr>
<tr>
<td valign="top" align="left">Education, n (%)</td>
<td valign="top" align="left">1(1) some high school</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">11(15) high school degree</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">12(16) some college</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">52(68) college degree</td>
</tr>
<tr>
<td valign="top" align="left">Income, n (%)</td>
<td valign="top" align="left">1(1) &#x0003C; &#x00024;15,000</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">2(3) &#x00024;15,000&#x02013;&#x00024;25,000</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">13(17) &#x00024;25,000&#x02013;&#x00024;50,000</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">17(22) &#x00024;50,000&#x02013;&#x00024;75,000</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">18(24) &#x00024;75,000&#x02013;&#x00024;100,000</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">25(33) &#x0003E; &#x00024;100,000</td>
</tr>
<tr>
<td valign="top" align="left">Depression, n (%)</td>
<td valign="top" align="left">72(95) no</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td valign="top" align="left">4(5) yes</td>
</tr> <tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left"><bold>Serum nutrients</bold></td>
<td valign="top" align="left"><bold>(pmol/mL &#x02212; mean &#x000B1; std; median; range)</bold></td>
</tr> <tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left">Lutein</td>
<td valign="top" align="left">454 &#x000B1; 275; 418; 120&#x02013;1328</td>
</tr> <tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left"><bold>Psychometrics</bold></td>
<td valign="top" align="left"><bold>(mean &#x000B1; std)</bold></td>
</tr> <tr>
<td valign="top" align="left">Mini-Mental State Examination</td>
<td valign="top" align="left">29 &#x000B1; 1</td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left">Crystallized intelligence score</td>
<td valign="top" align="left">111 &#x000B1; 14</td>
</tr> <tr style="border-bottom: thin solid #000000;">
<td valign="top" align="left"><bold>Volumetric MRI (gray matter volume)</bold></td>
<td valign="top" align="left"><bold>(mm &#x02212; mean &#x000B1; std)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Left temporal lobe</td>
<td valign="top" align="left">6670 &#x000B1; 645</td>
</tr>
<tr>
<td valign="top" align="left">Right temporal lobe</td>
<td valign="top" align="left">5458 &#x000B1; 599</td>
</tr>
<tr>
<td valign="top" align="left">Left superior temporal</td>
<td valign="top" align="left">10889 &#x000B1; 1482</td>
</tr>
<tr>
<td valign="top" align="left">Right superior temporal</td>
<td valign="top" align="left">10858 &#x000B1; 1502</td>
</tr>
<tr>
<td valign="top" align="left">Left middle temporal</td>
<td valign="top" align="left">9593 &#x000B1; 1418</td>
</tr>
<tr>
<td valign="top" align="left">Right middle temporal</td>
<td valign="top" align="left">10724 &#x000B1; 1445</td>
</tr>
<tr>
<td valign="top" align="left">Left inferior temporal</td>
<td valign="top" align="left">10105 &#x000B1; 1606</td>
</tr>
<tr>
<td valign="top" align="left">Right inferior temporal</td>
<td valign="top" align="left">9665 &#x000B1; 1401</td>
</tr>
<tr>
<td valign="top" align="left">Left banks of the superior temporal sulcus</td>
<td valign="top" align="left">2229 &#x000B1; 464</td>
</tr>
<tr>
<td valign="top" align="left">Right banks of the superior temporal sulcus</td>
<td valign="top" align="left">2179 &#x000B1; 409</td>
</tr>
<tr>
<td valign="top" align="left">Left fusiform</td>
<td valign="top" align="left">9281 &#x000B1; 1445</td>
</tr>
<tr>
<td valign="top" align="left">Right fusiform</td>
<td valign="top" align="left">8973 &#x000B1; 1397</td>
</tr>
<tr>
<td valign="top" align="left">Left transverse temporal</td>
<td valign="top" align="left">1102 &#x000B1; 210</td>
</tr>
<tr>
<td valign="top" align="left">Right transverse temporal</td>
<td valign="top" align="left">836 &#x000B1; 164</td>
</tr>
<tr>
<td valign="top" align="left">Left entorhinal</td>
<td valign="top" align="left">1779 &#x000B1; 388</td>
</tr>
<tr>
<td valign="top" align="left">Right entorhinal</td>
<td valign="top" align="left">1729 &#x000B1; 369</td>
</tr>
<tr>
<td valign="top" align="left">Left temporal pole</td>
<td valign="top" align="left">2464 &#x000B1; 383</td>
</tr>
<tr>
<td valign="top" align="left">Right temporal pole</td>
<td valign="top" align="left">2247 &#x000B1; 342</td>
</tr>
<tr>
<td valign="top" align="left">Left parahippocampal</td>
<td valign="top" align="left">2067 &#x000B1; 318</td>
</tr>
<tr>
<td valign="top" align="left">Right parahippocampal</td>
<td valign="top" align="left">1914 &#x000B1; 258</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Serum lutein and crystallized intelligence, mediated by parahippocampal structure</title>
<p>The mediation analyses indicated that out of all regions within the temporal cortex, gray matter thickness of only the right parahippocampal cortex (Brodmann&#x00027;s Area 34) mediated the relationship between serum lutein and crystallized intelligence. Each relationship within the mediation is described below in a stepwise fashion.</p>
<p>First, higher serum lutein levels were associated with larger volume of one region within the temporal cortex, the right parahippocampal cortex (&#x003B2; &#x0003D; 0.336, <italic>p</italic> &#x0003D; 0.003, Table <xref ref-type="table" rid="T2">2</xref>). Therefore, the relationship between serum lutein concentration and gray matter volume of the right parahippocampal cortex was considered in the context of the mediation model (&#x003B2; &#x0003D; 0.336, <italic>p</italic> &#x0003D; 0.003, Figure <xref ref-type="fig" rid="F2">2</xref>, path a). Second, higher serum levels of lutein associated with superior crystallized intelligence (&#x003B2; &#x0003D; 0.018, <italic>p</italic> &#x0003D; 0.002, Figure <xref ref-type="fig" rid="F2">2</xref>, path c). Third, mediation effects were estimated for the right parahippocampal cortex. The indirect pathway of mediation was significant (95% CI: 0.002&#x02013;0.013, &#x003B2; &#x0003D; 0.016, <italic>p</italic> &#x0003D; 0.006, Figure <xref ref-type="fig" rid="F2">2</xref>, path a to b), and the direct pathway of mediation was significant (95% CI: 0.0007&#x02013;0.023, &#x003B2; &#x0003D; 0.012, <italic>p</italic> &#x0003D; 0.037, Figure <xref ref-type="fig" rid="F1">1</xref>, path c&#x00027;). Therefore, the right parahippocampal cortex partially mediated the relationship between serum lutein and crystallized intelligence (Figure <xref ref-type="fig" rid="F2">2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Multivariate linear regressions show relationship between serum lutein levels and volume of regions within the temporal cortex, controlling for age, gender, education, income, body mass index, depression status, and total temporal cortex volume</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Cortical region volume</bold></th>
<th valign="top" align="center"><bold>&#x003B2;</bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Left superior temporal</td>
<td valign="top" align="center">&#x02212;0.424</td>
<td valign="top" align="center">0.318</td>
</tr>
<tr>
<td valign="top" align="left">Right superior temporal</td>
<td valign="top" align="center">&#x02212;0.378</td>
<td valign="top" align="center">0.364</td>
</tr>
<tr>
<td valign="top" align="left">Left middle temporal</td>
<td valign="top" align="center">&#x02212;0.809</td>
<td valign="top" align="center">0.084</td>
</tr>
<tr>
<td valign="top" align="left">Right middle temporal</td>
<td valign="top" align="center">0.421</td>
<td valign="top" align="center">0.356</td>
</tr>
<tr>
<td valign="top" align="left">Left inferior temporal</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">0.093</td>
</tr>
<tr>
<td valign="top" align="left">Right inferior temporal</td>
<td valign="top" align="center">0.186</td>
<td valign="top" align="center">0.695</td>
</tr>
<tr>
<td valign="top" align="left">Left banks of the superior temporal sulcus</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">0.943</td>
</tr>
<tr>
<td valign="top" align="left">Right banks of the superior temporal sulcus</td>
<td valign="top" align="center">&#x02212;0.051</td>
<td valign="top" align="center">0.713</td>
</tr>
<tr>
<td valign="top" align="left">Left fusiform</td>
<td valign="top" align="center">&#x02212;0.318</td>
<td valign="top" align="center">0.442</td>
</tr>
<tr>
<td valign="top" align="left">Right fusiform</td>
<td valign="top" align="center">&#x02212;0.328</td>
<td valign="top" align="center">0.432</td>
</tr>
<tr>
<td valign="top" align="left">Left transverse temporal</td>
<td valign="top" align="center">&#x02212;0.086</td>
<td valign="top" align="center">0.393</td>
</tr>
<tr>
<td valign="top" align="left">Right transverse temporal</td>
<td valign="top" align="center">&#x02212;0.171</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Left entorhinal</td>
<td valign="top" align="center">0.331</td>
<td valign="top" align="center">0.037</td>
</tr>
<tr>
<td valign="top" align="left">Right entorhinal</td>
<td valign="top" align="center">&#x02212;0.148</td>
<td valign="top" align="center">0.151</td>
</tr>
<tr>
<td valign="top" align="left">Left temporal pole</td>
<td valign="top" align="center">0.265</td>
<td valign="top" align="center">0.095</td>
</tr>
<tr>
<td valign="top" align="left">Right temporal pole</td>
<td valign="top" align="center">0.133</td>
<td valign="top" align="center">0.457</td>
</tr>
<tr>
<td valign="top" align="left">Left parahippocampal</td>
<td valign="top" align="center">0.106</td>
<td valign="top" align="center">0.443</td>
</tr>
<tr>
<td valign="top" align="left">Right parahippocampal</td>
<td valign="top" align="center">0.336</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Results are reported using unstandardized regression coefficients (&#x003B2;) and statistical significance (p) for each individual regression relationship</italic>.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>p-values that survive FDR correction for multiple comparisons (p &#x0003C; 0.05, one-tailed)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>A mediation model was used to characterize the relationship between serum lutein, gray matter volume of regions within the temporal cortex, and crystallized intelligence</bold>. Serum lutein concentrations positively associated with gray matter volume of the right parahippocampal cortex (path a). Serum lutein positively associated with crystallized intelligence (path c). The indirect pathway of mediation (i.e., the effect of serum lutein through gray matter volume of the right parahippocampal cortex on crystallized intelligence; path a to b) was statistically significant. Likewise, the direct pathway of mediation (i.e., the effect of serum lutein on crystallized intelligence; path c&#x00027;) was statistically significant. Therefore, gray matter volume of the right parahippocampal cortex partially mediated the relationship between serum lutein and crystallized intelligence.</p></caption>
<graphic xlink:href="fnagi-08-00297-g0002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study revealed that gray matter volume of the right parahippocampal cortex mediates the relationship between serum lutein and crystallized intelligence. This report provides a novel link between lutein, gray matter volume of a specific cortical region, and crystallized intelligence. The individual relationships reported within the mediation, including those between serum lutein levels and parahippocampal cortex (Figure <xref ref-type="fig" rid="F2">2</xref>, path a), between serum lutein levels and crystallized intelligence (Figure <xref ref-type="fig" rid="F2">2</xref>, path c), and between parahippocampal cortex and crystallized intelligence (Figure <xref ref-type="fig" rid="F2">2</xref>, path b), are each supported by prior findings reviewed in turn below.</p>
<p>Prior findings support each relationship reported within the mediation model. The first relationship demonstrated a positive association between serum lutein and gray matter volume of the parahippocampal cortex in the right hemisphere (Figure <xref ref-type="fig" rid="F2">2</xref>, path a). Four lines of evidence support this finding: (i) serum lutein correlates with brain concentrations of lutein in older adults, (ii) lutein preferentially accumulates in brain tissue, (iii) xanthophylls are selectively distributed in gray matter, as opposed to white matter, and (iv) lutein is found in the temporal cortex (Craft et al., <xref ref-type="bibr" rid="B10">2004</xref>; Johnson, <xref ref-type="bibr" rid="B30">2012</xref>; Johnson et al., <xref ref-type="bibr" rid="B33">2013</xref>; Vishwanathan et al., <xref ref-type="bibr" rid="B58">2014b</xref>). Second, higher serum levels of lutein were associated with higher scores of crystallized intelligence (Figure <xref ref-type="fig" rid="F2">2</xref>, path c). Prior work demonstrates that intake of green leafy and cruciferous vegetables&#x02014;both major dietary sources of lutein&#x02014;is positively associated with cognitive function (Kang et al., <xref ref-type="bibr" rid="B35">2005</xref>; Morris et al., <xref ref-type="bibr" rid="B41">2006</xref>). Indeed, macular pigment optical density (MPOD), a biomarker of lutein concentrations in the brain, has been reported to be significantly related to cognitive function in three independent research groups (Feeney et al., <xref ref-type="bibr" rid="B15">2013</xref>; Vishwanathan et al., <xref ref-type="bibr" rid="B59">2013</xref>, <xref ref-type="bibr" rid="B57">2014a</xref>, <xref ref-type="bibr" rid="B60">2016</xref>; Renzi et al., <xref ref-type="bibr" rid="B47">2014</xref>). Among the carotenoids, lutein most consistently associates with measures of intelligence and memory (Johnson et al., <xref ref-type="bibr" rid="B32">2008</xref>, <xref ref-type="bibr" rid="B33">2013</xref>). Third, the indirect pathway of mediation indicated a mediatory effect of right parahippocampal gray matter volume on the relationship between lutein and crystallized intelligence (Figure <xref ref-type="fig" rid="F2">2</xref>, path a to b). Previous studies indicate that greater temporal cortex gray matter volume correlates with general intelligence, and the parahippocampal cortex in particular shows activity during tasks that require auditory-verbal recall (Grasby et al., <xref ref-type="bibr" rid="B24">1993</xref>; Colom et al., <xref ref-type="bibr" rid="B8">2009</xref>). Furthermore, healthy aging is characterized by the preservation of crystallized intelligence as well as structural integrity of the parahippocampal cortex (Horn and Cattell, <xref ref-type="bibr" rid="B27">1966</xref>; Salat et al., <xref ref-type="bibr" rid="B52">2004</xref>; Jiang et al., <xref ref-type="bibr" rid="B29">2014</xref>). The unilateral nature of this mediation is supported by work suggesting that the right hemisphere is more resistant to age-related and disease-related neurodegeneration than the left hemisphere (Ch&#x000E9;telat et al., <xref ref-type="bibr" rid="B6">2005</xref>; Querbes et al., <xref ref-type="bibr" rid="B46">2009</xref>; Risacher et al., <xref ref-type="bibr" rid="B51">2010</xref>; Mosconi et al., <xref ref-type="bibr" rid="B42">2014</xref>).</p>
<p>The underlying physiological mechanisms of the relationship between serum lutein levels, crystallized intelligence, and cortical integrity of the parahippocampal cortex are 3-fold. First, lutein is differentially localized to membrane domains high in polyunsaturated fatty acids, and is therefore well positioned to prevent oxidation of vulnerable lipids (Widomska and Subczynski, <xref ref-type="bibr" rid="B63">2014</xref>). Second, by preventing lipid oxidation, lutein may help preserve long-chain polyunsaturated fats, such as docosahexaenoic acid (DHA), for cleavage and conversion into anti-inflammatory compounds (Miller et al., <xref ref-type="bibr" rid="B40">2014</xref>). Third, lutein is a polar and soluble molecule, and can therefore span the membrane and influence membrane properties, such as fluidity, ion exchange, oxygen diffusion, membrane stability, and interneuronal communication via gap junctions (Stahl and Sies, <xref ref-type="bibr" rid="B56">2001</xref>). Importantly, these neuroprotective effects are relevant across the lifespan, and may therefore be particularly important for the preservation of cognitive functions that are enhanced with increasing age, such as crystallized intelligence (Horn and Cattell, <xref ref-type="bibr" rid="B27">1966</xref>; Bovier and Hammond, <xref ref-type="bibr" rid="B4">2015</xref>; Lieblein-Boff et al., <xref ref-type="bibr" rid="B38">2015</xref>).</p>
<p>The partial nature of this mediation is supported by the specificity of this analysis, which focused on one aspect of cognition and its underlying cortical structures. Given that lutein is thought to influence a wide range of biological processes in the brain, it is unlikely that the role of lutein in the aging brain is limited to crystallized intelligence and the parahippocampal cortex (Erdman et al., <xref ref-type="bibr" rid="B14">2015</xref>). Rather than claiming the parahippocampal cortex as the sole mediator of the relationship between lutein and crystallized intelligence, this study suggests that preserving structural integrity of the parahippocampal cortex is one mechanism through which lutein contributes to the preservation of cognitive function. These findings add to a growing line of evidence which suggests that particular nutrients may slow or prevent aspects of age-related cognitive decline by targeting specific features of brain aging (Bowman et al., <xref ref-type="bibr" rid="B5">2012</xref>; Zamroziewicz et al., <xref ref-type="bibr" rid="B66">2015</xref>; Gu et al., <xref ref-type="bibr" rid="B25">2016</xref>). In the case of lutein, future studies are needed to assess whether lutein is uniquely protective of crystallized intelligence and temporal cortex structure, or whether other carotenoids contribute neuroprotective effects as well. Another promising direction for future work is to examine the interactive effects among nutrients through the use of nutrient biomarker pattern analysis&#x02014;a technique that enables an investigation of the beneficial effects of broader nutrient profiles on healthy brain aging. Ultimately, this line of research can inform a comprehensive and personalized approach to nutritional intervention that takes into account dietary patterns and individual variability in nutritional status and brain health.</p>
<p>The strengths of the present study include: (i) the use of blood biomarkers to measure physiological status of lutein, (ii) the use of structural magnetic resonance imaging to measure regional cortical integrity with high spatial resolution, and (iii) the assessment of a particular component of cognitive function known to be highly variable across individuals, rather than a global cognitive function measure with little variability within a sample. The limitations of this study include: (i) relatively small sample size, (ii) cross-sectional design, (iii) lack of MPOD measurement to better reflect lutein concentrations in neural tissue (Vishwanathan et al., <xref ref-type="bibr" rid="B59">2013</xref>, <xref ref-type="bibr" rid="B60">2016</xref>), and (iv) lack of assessment of other carotenoids. Thus, directions for future research include: (i) larger samples to confirm these results, (ii) longitudinal studies to investigate the relationship between serum lutein and crystallized intelligence in different stages of life, (iii) MPOD measures of lutein in neural tissue, and (iv) assessment of other carotenoids to determine potential neuroprotective benefits.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>MZ is the primary author on this manuscript. AB is the primary investigator and contributed to study design and manuscript drafting. EP, CZ, EJ, MK, and NC contributed to study design and manuscript drafting.</p>
<sec>
<title>Conflict of interest statement</title>
<p>MK is an employee of Abbott Nutrition. The other 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>
</body>
<back>
<ack><p>We are grateful to Joachim Operskalski, Kelsey Campbell, Michael Kruepke, Jack Kuhns, and Nikolai Sherepa for their invaluable help with the testing of participants and organization of this study. We are also grateful to Tapas Das and Jack Kuhns for providing feedback during drafting of this manuscript. This work was supported by a grant from Abbott Nutrition through the Center for Nutrition, Learning, and Memory at the University of Illinois (ANGC1205; PI: AB).</p>
</ack>
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