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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="Research -article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJN</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Nutrition</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2379-7835</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.14302/issn.2379-7835.ijn-23-4430</article-id>
      <article-id pub-id-type="publisher-id">IJN-23-4430</article-id>
      <article-categories>
        <subj-group>
          <subject>Research Article </subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Acute Effects of White Button and Shiitake Mushroom Powder Supplementation on Postprandial Lipemia and Glycemia Following a High-Fat Meal </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Lillian</surname>
            <given-names>A. Talal</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841447852">1</xref>
          <xref ref-type="aff" rid="idm1841537436">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Huipei</surname>
            <given-names>Wang</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841445476">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Brian</surname>
            <given-names>T. Williams</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841446556">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Matthew</surname>
            <given-names>J. Morris</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841538156">3a</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Peter</surname>
            <given-names>J. Horvath</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841447852">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1841447852">
        <label>1</label>
        <addr-line>Department of Exercise and Nutrition Sciences, University at Buffalo, Buffalo. </addr-line>
      </aff>
      <aff id="idm1841445476">
        <label>2</label>
        <addr-line>Department of Biostatistics, University at Buffalo, Buffalo.</addr-line>
      </aff>
      <aff id="idm1841446556">
        <label>3</label>
        <addr-line>Department of Physiology and Biophysics, University at Buffalo, Buffalo.</addr-line>
      </aff>
      <aff id="idm1841538156">
        <label>3a</label>
        <addr-line>Deceased.</addr-line>
      </aff>
      <aff id="idm1841537436">
        <label>*</label>
        <addr-line>Corresponding Author </addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Ian</surname>
            <given-names>James Martins</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841290236">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1841290236">
        <label>1</label>
        <addr-line>PRINCIPAL RESEARCH FELLOW Edith Cowan University</addr-line>
      </aff>
      <author-notes>
        <corresp>
          <addr-line>Lillian A. Talal, Department of Exercise and Nutrition Sciences, University at Buffalo, Buffalo</addr-line>
          <email>lat413@nyu.edu</email>
        </corresp>
        <fn fn-type="conflict" id="idm1849365924">
          <p>The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2023-02-01">
        <day>01</day>
        <month>02</month>
        <year>2023</year>
      </pub-date>
      <volume>7</volume>
      <issue>2</issue>
      <fpage>42</fpage>
      <lpage>56</lpage>
      <history>
        <date date-type="received">
          <day>15</day>
          <month>01</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>23</day>
          <month>01</month>
          <year>2023</year>
        </date>
        <date date-type="online">
          <day>01</day>
          <month>02</month>
          <year>2023</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2023</copyright-year>
        <copyright-holder>Lillian A. Talal, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijn/article/1906">This article is available from http://openaccesspub.org/ijn/article/1906</self-uri>
      <abstract>
        <sec id="idm1841293476">
          <title>Background </title>
          <p>To determine the acute effects on postprandial lipemia and glycemia by supplementing a high-fat meal with either white button (WB) or shiitake (SH) mushroom powder. </p>
        </sec>
        <sec id="idm1841292900">
          <title>Methods</title>
          <p>Nine healthy participants (4-male, 5-female, 23.3±1.3 years, 17.8±6% body fat, 56.2±11.4kg fat free mass) consumed a control hamburger. At one-week intervals, after consumption of a control meal, participants consumed hamburgers in random order, supplemented with 14g of either WB or SH mushroom powder. Peripheral blood for lipids (triglycerides, high-density lipoprotein <sup>HDL</sup>, low-density lipoprotein <sup>LDL</sup>), and glucose was obtained at baseline (t=0 hours) and postprandially every two hours for six hours. Data were analyzed using linear mixed effects models. </p>
        </sec>
        <sec id="idm1841293404">
          <title>Results</title>
          <p>Lower LDL levels were observed for both SH and WB burgers compared to the control burger (p=0.0007) over the six-hour period. Mushroom powder content did not alter triglyceride, HDL, or glucose levels. Gender affected triglyceride and HDL levels over the treatment course. Triglyceride levels were higher in males (p=0.0084), and HDL levels were lower in females (p=0.0005). Triglyceride and glucose levels were higher, (p&lt; 0.001 and p&lt; 0.0001 respectively), during the postprandial time course (t=0, 2, 4, 6 hours). </p>
        </sec>
        <sec id="idm1841294196">
          <title>Conclusions</title>
          <p>Supplementing SH or WB mushrooms during a high-fat meal may lower serum LDL levels.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>Mushroom supplementation</kwd>
        <kwd>postprandial lipemia</kwd>
        <kwd>postprandial glycemia</kwd>
        <kwd>Shiitake mushrooms</kwd>
        <kwd>White Button mushrooms</kwd>
        <kwd>fatty acid/ lipid metabolism</kwd>
      </kwd-group>
      <counts>
        <fig-count count="4"/>
        <table-count count="3"/>
        <page-count count="15"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1841293044" sec-type="intro">
      <title>Introduction</title>
      <p>The current trends of rising obesity levels and poor dietary choices have led to an increased incidence of cardiovascular diseases (CVD), dyslipidemia, and                 metabolic syndrome <xref ref-type="bibr" rid="ridm1842442964">1</xref>. Nonmedicinal, cost-effective therapeutic approaches for dyslipidemia that would be readily accepted by individuals who are reluctant to make drastic dietary changes, such as eliminating consumption of red meat, are needed. As opposed to the use of supplements, such as omega-3 fatty acids, niacin, and plant sterols, whole foods may have greater appeal <xref ref-type="bibr" rid="ridm1842445556">2</xref><xref ref-type="bibr" rid="ridm1842457012">3</xref><xref ref-type="bibr" rid="ridm1842515036">4</xref>. Research into medicinal uses and therapeutic applications of mushrooms is increasing; however, there has been little, if any, investigation into the acute effects of mushrooms on postprandial lipemia (PPL) or postprandial glycemia (PPG), especially in humans <xref ref-type="bibr" rid="ridm1842302420">5</xref><xref ref-type="bibr" rid="ridm1842297524">6</xref>. There is currently no widely agreed upon technical definition of PPL <xref ref-type="bibr" rid="ridm1842291172">7</xref>, however certain characteristics of identifying PPL have been acknowledged. Generally, PPL is defined as a complex condition that is characterized by non-fasting hypertriglyceridemia, which is associated with an increased risk of               cardiovascular events <xref ref-type="bibr" rid="ridm1842291172">7</xref>. This pilot study investigated the acute effects of selected mushroom               powder supplementation on PPL and PPG following a high-fat meal using the indicators of serum triglycerides, serum high-density lipoprotein (HDL), serum low-density lipoprotein (LDL), and              serum glucose.</p>
      <p>Mushrooms are a widely available commodity and are heavily consumed for their                health-promoting properties, in addition to their palatable and culinary appeal <xref ref-type="bibr" rid="ridm1842277044">8</xref>. Mushrooms             contain high levels of bioactive compounds, such as ergothioneine, a powerful antioxidant, and           ergosterol, a hypercholesterolemic agent and a Vitamin D precursor <xref ref-type="bibr" rid="ridm1842297524">6</xref>. These bioactive compounds are thought to be potential mechanisms for reducing triglyceride and cholesterol absorption from the bloodstream, which could be beneficial for individuals who suffer from metabolic syndrome that includes diabetes, obesity, and cardiovascular disease <xref ref-type="bibr" rid="ridm1842276612">9</xref>. Soluble dietary fiber (e.g., β-glucans found in certain types of mushrooms) may reduce the rate of nutrient absorption, which has been associated with reduced postprandial blood glucose and higher satiety levels <xref ref-type="bibr" rid="ridm1842271860">10</xref>. Ergothioneine may also have a role in the reduction of postprandial triglyceride levels <xref ref-type="bibr" rid="ridm1842263820">11</xref>. Given the versatile uses of mushrooms, mushroom supplementation of high-fat foods may be a promising therapeutic application to lower PPL and PPG, and thus conditions associated with metabolic syndrome or syndrome X, such as obesity, diabetes, and CVD. </p>
      <p>Besides their favorable biochemical properties, mushrooms also have a fleshy texture akin to meat products, such as soy <xref ref-type="bibr" rid="ridm1842259428">12</xref>, that might be used as a meat substitute as an approach to treat dyslipidemia <xref ref-type="bibr" rid="ridm1842255396">13</xref><xref ref-type="bibr" rid="ridm1842251148">14</xref>. In this study, we utilized shiitake (SH) and white button (WB) mushroom powder as supplements, since they are widely commercially available, and SH is the second most commonly produced edible mushroom in the world <xref ref-type="bibr" rid="ridm1842277044">8</xref>. In addition, several important anti-inflammatory, lipid-lowering, and antimicrobial compounds have been isolated from SH mushrooms including  lentinan, a polysaccharide, which is well studied <xref ref-type="bibr" rid="ridm1842277044">8</xref>. β-glucan is the major bioactive component in lentinan <xref ref-type="bibr" rid="ridm1842234540">15</xref>. Eritadenine, a compound isolated from SH mushrooms, is thought to be the major  mediator of the lipid-lowering effect <xref ref-type="bibr" rid="ridm1842297524">6</xref><xref ref-type="bibr" rid="ridm1842233172">16</xref>. Both SH and WB are thought to have cardioprotective effects <xref ref-type="bibr" rid="ridm1842263820">11</xref>. WB mushrooms, part of the genus Agaricus, have been demonstrated to reduce total daily energy and fat intake <xref ref-type="bibr" rid="ridm1842263820">11</xref>. They also have been shown to have antidiabetic properties including lowered index of insulin resistance, increased plasma adiponectin, improved hepatic glucose uptake, and reduced oxidative stress <xref ref-type="bibr" rid="ridm1842263820">11</xref>. </p>
      <p>In this pilot study, we sought to determine the acute effects on PPL and PPG by supplementing a high-fat meal, a hamburger, with either WB or SH mushroom powder. We hypothesized that mushroom powder supplementation of a high-fat meal will result in decreased serum lipid concentrations and follow a standard postprandial glucose pattern.</p>
    </sec>
    <sec id="idm1841280036" sec-type="materials">
      <title>Materials and methods</title>
      <p>Participants were enrolled in a prospective, double-blind, randomized study approved by the University at Buffalo (UB) Institutional Review Board. All participants provided written informed consent prior to study entry. Inclusion criteria included ages 18 to 35 years, overall healthy,                    non-diabetic, and normal to mildly hypercholesterolemic (total cholesterol (TC): 200 – 239 mg/dL, low density lipoprotein cholesterol (LDL-C): 130 – 159 mg/dL), and body mass index (BMI) of &lt;30 or body fat percentage (% BF) by gender (men: &lt;25%, women: &lt;32%). Participants were also screened for liver and gallbladder disease by self-report, lipid metabolism dysfunction, and normal lipemic            responses to a lipid challenge (i.e., control meal) <xref ref-type="bibr" rid="ridm1842226188">17</xref><xref ref-type="bibr" rid="ridm1842224604">18</xref>. Participants completed three-day diet               records to confirm their specific caloric and macronutrient intakes. Caloric and macronutrient intakes were determined using a nutrient analysis software entitled “Nutritionist Pro” (Axxya Systems LLC, Redmond, WA, USA).  Participants were excluded if they failed to meet any inclusion criteria, failed any of the screenings, or had a self-reported mushroom allergy. </p>
      <sec id="idm1841279748">
        <title>Study design and procedures  </title>
        <p>After participant screening and collection of anthropometric data, control burgers were used as the chosen method for the lipid challenge to assess baseline PPL. All participants consumed three meals: 1) plain hamburger with bun (control burger), 2) hamburger with WB powder and bun (WB burger), and 3) hamburger with SH powder and bun (SH burger). The control meal consisted of 368.5 grams (g) of irradiated ground beef patty (80/20 lean mass to fat ratio) and a Wegmans Food Market Brand Big Hawaiian bun (Rochester, NY, USA). Mushroom powder, derived from both SH and WB mushrooms, was generously donated by Oakshire Farms (Kennett Square, PA, USA), and was incorporated into the two types of test hamburgers before cooking. The use of mushroom powder allowed for the blinding of participants for all three meals and for investigators after the control burger, which was used to verify that each participant had a normal lipemic response. Each burger was approximately 1000 kcal consisting of 45g carbohydrate, 51g fat, and 72g protein. The nutritional composition of each burger was calculated using Nutritionist Pro software. </p>
        <p>Both the measured beef and mushroom powder were added to a mixing bowl, hand kneaded into a uniform mixture, and added to a hamburger press to form patties of similar shape, size, and           dimension (4.45 cm in depth and 12.1 cm in diameter). The hamburgers were then cooked (260<sup>o</sup>C for 15 minutes) in an industrial facility, turned, and removed upon reaching an internal temperature of 71.1<sup>o</sup>C, the minimum internal USDA cooking temperature for ground meat <xref ref-type="bibr" rid="ridm1842220428">19</xref>. The hamburgers were then bagged, labeled, and stored at -40<sup>o</sup>C until participant administration. Prior to each visit, the test hamburger was thawed by placement in cold running water, reheated in an Oster (Intertek) toaster oven (Boca Raton, FL, USA) until the internal temperature of the hamburger was 73.8<sup>o</sup>C, in accordance with USDA safety protocols for reheating ground meat products <xref ref-type="bibr" rid="ridm1842220428">19</xref>. The temperature was measured using a digital meat thermometer (Taylor Trutemp Pocket Test Thermometer, Rochester, NY, USA), and the hamburgers and buns’ weights were then recorded using a free-standing electronic food scale (Ohaus model GT8000 scale, Buffalo, NY, USA). </p>
        <p>During the initial visit, each participant’s baseline lipemic response was assessed in response to the control burger. After the initial visit, at one-week intervals, participants consumed burgers               supplemented with 14g of either WB or SH mushroom powder, mixed into the beef patty, until both mushroom powder burgers were completed. Participants received mushroom-powder supplemented burgers in a random order and were blinded to the contents of all three meals. Each participant               completed a total of three visits. Participants maintained normal dietary habits throughout the study period; they were requested not to ingest caffeine or alcohol for 24 hours prior to their visits as verified by a 24-hour diet recall and nutrient analysis using Nutritionist Pro software. They were also asked to fast for 12 hours prior to control or mushroom-supplemented burger consumption. Participants were also asked not to participate in vigorous exercise for 24 hours prior to test meal consumption. Prior to the participant’s first test meal, anthropometric data were obtained including weight, BMI, BF%, and fat free mass (FFM) via the BodPod body composition system (Cosmed/Axxya Systems; Concord, CA, USA). </p>
        <p>At the beginning of each visit, a 22-gauge indwelling catheter (Becton Dickinson Infusion Therapy Systems Inc., Sandy, UT, USA) was placed in an antecubital vein by a trained phlebotomist. A 7-inch microbore extension set (B. Braun Medical Inc. Bethlehem, PA, USA) was attached to the indwelling catheter and secured by sterile Tegaderm™ dressing (3M Health Care, St. Paul MN, USA). The catheter remained in the vein for the entire 6-hour study visit. A disposable 10 mL syringe (Nipro  Corporation, Miami, FL, USA) was attached to the extension set, and a 10 mL sample of blood was obtained. Approximately 5 mL of blood was placed into each of 2 vacutainers in the following order: 1) serum (BD Vacutainer, Franklin Lakes, NJ, USA), which was allowed to clot at room temperature for 20 minutes and 2) EDTA (BD Vacutainer), which was immediately placed on ice for 20 minutes. Five mL of a 0.9% saline solution (B. Braun Medical Inc., Bethlehem, PA, USA) was used to flush lines between blood draws to prevent coagulation. Five mL of the saline solution was also injected into the participant’s vein, withdrawn, and discarded as a saline-blood mixture. All samples were                centrifuged at 3000 RPM for 30 minutes at 4<sup>o</sup>C (Hermle Labnet Z383 Refrigerated Centrifuge, Labnet, Edison, NJ, USA). Samples were further aliquoted into 3 mL cryovials as serum, plasma, and whole red blood cells. Samples were then placed at -80°C for subsequent analysis. This process was repeated during all subsequent blood draws and study visits.</p>
        <p>No time constraints were given to participants for completion of the burger, but participants were encouraged to eat the test meal as quickly as possible while not evoking gastrointestinal distress. Water consumption was monitored, and water was offered to the participants ad libitum. After meal ingestion, participants remained sedentary throughout the remainder of the visit. Blood was obtained at two-hour intervals for a total of six hours, resulting in four blood draws per visit. Before participants departed from the clinical research setting, they were given a three-day diet record to be completed at home between visits. Each study visit was completed between 2 and 7 days after the prior visit. The mean time of burger consumption was 14.3 ± 5.2 minutes.</p>
      </sec>
      <sec id="idm1841276868">
        <title>Biochemical assays </title>
        <p>Samples were batched and were analyzed for all study participants at all time points at the same time for all markers. </p>
      </sec>
      <sec id="idm1841277300">
        <title>Statistical analysis </title>
        <p>We initially computed descriptive statistics consisting of means and standard deviations (SD) and medians and interquartile ranges (IQR) for all measured markers (serum LDL, serum HDL, serum triglycerides, and glucose) for each burger type. We assessed the value of three separate burgers:               control, WB-supplemented, and SH-supplemented. We also computed descriptive statistics of the measured markers per burger and stratified by gender (male/female). We performed graphical analysis using boxplots to visualize individual measured markers’ distributional characteristics, such as                symmetry of distributions and existence of outliers.</p>
        <p>We modeled the multivariate outcome vector Y<sub>i</sub>= (TRIG<sub>i</sub>, LDL<sub>i</sub>, HDL<sub>i</sub>, GLUC<sub>i</sub>)<sup> T</sup>, I = 1, …, 9 using linear mixed effects models. The multivariate analysis did not produce any significant results, possibly due to the very small sample size. Because the effect of the different diets and participant characteristics on each of the collected markers was of interest, we performed individual marker  mixed-effects analyses where the outcome variable was each individual marker Y<sub>i</sub> = (TRIG<sub>i</sub>), or Y<sub>i</sub> = (LDL<sub>i</sub>), or Y<sub>i</sub> = (HDL<sub>i</sub>), or Y<sub>i</sub> = (GLUC<sub>i</sub>), i=1,…,9.  The first analysis has as an outcome a vector  acknowledging the fact that these measurements are taken on the same individual, and thus they are correlated. The second analysis treats these measurements as taken independently of each other. Hence, the outcome is the individual marker of interest: serum LDL, serum HDL, serum triglycerides, or glucose. </p>
        <p>Mixed effects models are used to model longitudinal data with multiple sources of variation. Covariates in the model include gender (with responses of M or F), time (0, 2, 4, 6, hours), meal type (control, WB, or SH) and time x burger type interaction to account for the diminishing effect of burger type on different markers over time. The models include a random intercept that allows the outcome to vary from participant to participant as well as the covariates. We also include graphical analysis in which the timepoints depicted were 1) adjusted for the value obtained at time 0 (i.e., parameter of  interest at time (t) = 0, 2, 4, 6) – time (0) or (2) consecutive differences (value of parameter of interest at time (t) - value at timepoint immediately preceding. </p>
      </sec>
    </sec>
    <sec id="idm1841275788" sec-type="results">
      <title>Results</title>
      <sec id="idm1841275500">
        <title>Baseline characteristics of participants </title>
        <p>Our sample consisted of 4 (44.4%) male and 5 (55.6%) female participants. The mean age of all 9 participants was 23.3 ± 1.32 years, while the median age was 23 ± 1 years. Female participants were slightly older on average (24.2 + 0.8) than male participants (22.3 ± 1.0) (<xref ref-type="table" rid="idm1841128692">Table 1</xref>). Mean lean body mass (LBM, kg) was also higher in females (65.5 + 6.3) compared to the LBM of the male            participants (49.0 + 10.6).</p>
        <table-wrap id="idm1841128692">
          <label>Table 1.</label>
          <caption>
            <title> Descriptive statistics, stratified by gender, of study participant characteristics.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <th colspan="2">
                  <bold>Variable</bold>
                </th>
                <td>
                  <bold>Male</bold>
                </td>
                <td>
                  <bold>Female</bold>
                </td>
                <td>
                  <bold>All participants</bold>
                </td>
              </tr>
              <tr>
                <td colspan="2"> </td>
                <td>4 (44.4%)</td>
                <td>5 (55.6%)</td>
                <td>9</td>
              </tr>
              <tr>
                <td>Age</td>
                <td>Mean ± SD</td>
                <td>22.3 ± 1.0</td>
                <td>24.2 ± 0.8</td>
                <td>23.3 ± 1.3</td>
              </tr>
              <tr>
                <td/>
                <td>Median ± IQR</td>
                <td>22.5 ± 1.8</td>
                <td>24.0 ± 1.5</td>
                <td>23 ± 1</td>
              </tr>
              <tr>
                <td>LBM</td>
                <td>Mean ± SD</td>
                <td>49.0 ± 10.6</td>
                <td>65.5 ± 6.3</td>
                <td>56.3 ± 12.1</td>
              </tr>
              <tr>
                <td/>
                <td>Median ± IQR</td>
                <td>49.3 ± 14.3</td>
                <td>66.2 ± 8.4</td>
                <td>57.8 ± 13.6</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1841202148">
              <label/>
              <p>Abbreviations SD, standard deviation; IQR, interquartile range; LBM, lean body mass</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="idm1841201932">
        <title>Baseline values of biochemical parameters </title>
        <p>Summary results of the four markers of interest (LDL, HDL, triglycerides, and glucose) at baseline, stratified by gender and burger type, are illustrated (<xref ref-type="table" rid="idm1841078052">Table 2</xref>). </p>
        <table-wrap id="idm1841078052">
          <label>Table 2 .</label>
          <caption>
            <title> Baseline descriptive statistics (by gender) for four biomarkers of interest</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <th>
                  <bold>Biomarker</bold>
                </th>
                <td>
                  <bold>Gender</bold>
                </td>
                <td colspan="2">
                  <bold>Control</bold>
                </td>
                <td colspan="2">
                  <bold>White Button Mushroom Supplement</bold>
                </td>
                <td colspan="2">
                  <bold>Shiitake Mushroom              Supplement</bold>
                </td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>Mean(SD)</td>
                <td>Median(IQR)</td>
                <td>Mean(SD)</td>
                <td>Median(IQR)</td>
                <td>Mean(SD)</td>
                <td>Median(IQR)</td>
              </tr>
              <tr>
                <td>LDL</td>
                <td>F</td>
                <td>110.03</td>
                <td>108.56</td>
                <td>123.42</td>
                <td>128.18</td>
                <td>126.70</td>
                <td>121.34</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(14.885)</td>
                <td>(10.790)</td>
                <td>(18.399)</td>
                <td>(3.180)</td>
                <td>(12.304)</td>
                <td>(8.790)</td>
              </tr>
              <tr>
                <td/>
                <td>M</td>
                <td>118.16</td>
                <td>119.17</td>
                <td>108.03</td>
                <td>105.78</td>
                <td>117.62</td>
                <td>116.96</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(25.399)</td>
                <td>(42.358)</td>
                <td>(17.132)</td>
                <td>(22.893)</td>
                <td>(17.779)</td>
                <td>(28.708)</td>
              </tr>
              <tr>
                <td>HDL</td>
                <td>F</td>
                <td>69.74</td>
                <td>71.00</td>
                <td>71.63</td>
                <td>74.00</td>
                <td>70.95</td>
                <td>72.00</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(12.173)</td>
                <td>(18.520)</td>
                <td>(5.184)</td>
                <td>(1.390)</td>
                <td>(9.683)</td>
                <td>(11.110)</td>
              </tr>
              <tr>
                <td/>
                <td>M</td>
                <td>49.70</td>
                <td>46.00</td>
                <td>47.04</td>
                <td>45.00</td>
                <td>46.33</td>
                <td>45.00</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(10.366)</td>
                <td>(8.698)</td>
                <td>(9.669)</td>
                <td>(10.043)</td>
                <td>(9.167)</td>
                <td>(9.828)</td>
              </tr>
              <tr>
                <td>TRIG</td>
                <td>F</td>
                <td>58.20</td>
                <td>55.91</td>
                <td>57.62</td>
                <td>53.45</td>
                <td>77.91</td>
                <td>78.66</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(16.481)</td>
                <td>(20.570)</td>
                <td>(13.464)</td>
                <td>(15.070)</td>
                <td>(29.895)</td>
                <td>(36.070)</td>
              </tr>
              <tr>
                <td/>
                <td>M</td>
                <td>106.29</td>
                <td>103.21</td>
                <td>97.49</td>
                <td>101.55</td>
                <td>130.44</td>
                <td>126.89</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(35.356)</td>
                <td>(54.860)</td>
                <td>(14.686)</td>
                <td>(18.393)</td>
                <td>(56.330)</td>
                <td>(75.760)</td>
              </tr>
              <tr>
                <td>Glucose</td>
                <td>F</td>
                <td>82.60</td>
                <td>82.00</td>
                <td>81.40</td>
                <td>84.00</td>
                <td>83.40</td>
                <td>83.00</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(2.881)</td>
                <td>(4.000)</td>
                <td>(5.177)</td>
                <td>(4.000)</td>
                <td>(2.702)</td>
                <td>(1.000)</td>
              </tr>
              <tr>
                <td/>
                <td>M</td>
                <td>83.25</td>
                <td>85.00</td>
                <td>71.50</td>
                <td>73.00</td>
                <td>86.25</td>
                <td>82.00</td>
              </tr>
              <tr>
                <td/>
                <td/>
                <td>(11.615)</td>
                <td>(17.750)</td>
                <td>(17.137)</td>
                <td>(19.000)</td>
                <td>(9.215)</td>
                <td>(6.250)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1841138724">
              <label/>
              <p>Description. Descriptive results, stratified by gender, measured at baseline (time, t=0) of the different marker values before the consumption of Control, White Button Mushroom Supplement and Shiitake Mushroom Supplement.</p>
            </fn>
            <fn id="idm1841139444">
              <label/>
              <p>Abbreviations. LDL-low density lipoprotein, HDL-high density lipoprotein, TRIG-triglycerides, F-female, M-male, SD-standard deviation, IQR-interquartile range.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p><xref ref-type="table" rid="idm1841078052">Table 2</xref> presents descriptive statistics obtained at baseline (time t = 0) of the different              markers stratified by gender and by diet. We present means and associated SDs as well as medians and IQR. The table indicates that for all participants, the measurements of the corresponding markers before the meal consumption are within the normal limits and that substantial variation of the            measurements is present as indicated by the SD/IQR values.  </p>
      </sec>
      <sec id="idm1841139732">
        <title>Individual marker mixed-effects analysis </title>
        <p>Individual marker analysis of the outcomes illustrated significant relationships between the outcomes and the covariates of interest. The results of the individual marker analysis of the outcome variables are demonstrated (<xref ref-type="table" rid="idm1840932500">Table 3</xref>). Graphical analysis is presented in <xref ref-type="fig" rid="idm1840938260">Figure 1</xref>, <xref ref-type="fig" rid="idm1840937468">Figure 2</xref>, <xref ref-type="fig" rid="idm1840934660">Figure 3</xref>, <xref ref-type="fig" rid="idm1840936388">Figure 4</xref>.</p>
        <fig id="idm1840938260">
          <label>Figure 1.</label>
          <caption>
            <title> Consecutive Differences in Low Density Lipoprotein (LDL) Levels (mg/dL) stratified by Gender. Graphical illustration of consecutive differences (LDL value at time (t) - value at timepoint immediately preceding) for A) females and b) males. </title>
          </caption>
          <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
        </fig>
        <fig id="idm1840937468">
          <label>Figure 2.</label>
          <caption>
            <title> Consecutive Differences in High Density Lipoprotein (HDL) Levels (mg/dL)             stratified by Gender. Graphical illustration of consecutive differences (HDL value at time (t) - value at timepoint immediately preceding) for A) females and B) males. </title>
          </caption>
          <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
        </fig>
        <fig id="idm1840934660">
          <label>Figure 3.</label>
          <caption>
            <title> Postprandial Time Period and Consecutive Differences in Serum Glucose Levels (mg/dL) stratified by Gender. Graphical illustration of serum glucose values at baseline and over the six hours postprandially for A) females and B) males and consecutive differences (glucose values at time (t) - values at timepoint immediately preceding) for C) females and D) males. </title>
          </caption>
          <graphic xlink:href="images/image3.jpg" mime-subtype="jpg"/>
        </fig>
        <fig id="idm1840936388">
          <label>Figure 4.</label>
          <caption>
            <title> Postprandial Time Period and Consecutive Differences in Serum Triglyceride (TRIG) Levels (mg/dL) stratified by Gender. Graphical illustration of serum triglyceride levels values at baseline and over the six hours postprandially for A) females and B) males and consecutive differences (serum triglyceride values at time (t) - values at timepoint immediately preceding) for C) females and D) males. </title>
          </caption>
          <graphic xlink:href="images/image4.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1841136132">
        <title>Observed changes in biochemical parameters after experimental meals </title>
        <p>The overall effects of LBM, gender, burger type, time, and burger type x time interaction are illustrated (<xref ref-type="table" rid="idm1840932500">Table 3</xref>). Serum LDL levels differ significantly (p=0.0007) between the control burger and the two mushroom-supplemented burgers. Graphical analysis of the consecutive differences reveals that in females, serum LDL levels decreased at the last time point (t = 6 hours) in those who received the SH burger. Serum LDL levels decreased at t=6 hours for the control burger for females. Among males, graphical analysis of consecutive differences demonstrated that all three burgers elevated            serum LDL levels with the mushroom-supplemented burgers suppressing a greater LDL rise compared to the control burger. Time, gender, and the interaction term (burger type x time) did not significantly affect serum LDL levels (<xref ref-type="table" rid="idm1840932500">Table 3</xref>). In summary, the SH mushroom-supplemented burger resulted in lower LDL levels compared with the control burger after 6 hours in both male and female participants. </p>
        <table-wrap id="idm1840932500">
          <label>Table 3.</label>
          <caption>
            <title>Type III analysis of the linear mixed effects model with listed covariates </title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <th>
                  <bold>Outcomes</bold>
                </th>
                <td>
                  <bold>Effect</bold>
                </td>
                <td>
                  <bold>F-value</bold>
                </td>
                <td>
                  <bold>P-value</bold>
                </td>
              </tr>
              <tr>
                <td>LDL</td>
                <td>Lean body mass</td>
                <td>0.14</td>
                <td>0.78096</td>
              </tr>
              <tr>
                <td/>
                <td>Sex</td>
                <td>0.01</td>
                <td>0.9358</td>
              </tr>
              <tr>
                <td/>
                <td>Diet</td>
                <td>7.94</td>
                <td>0.0007</td>
              </tr>
              <tr>
                <td/>
                <td>Time</td>
                <td>1.12</td>
                <td>0.3443</td>
              </tr>
              <tr>
                <td/>
                <td>Diet*Time</td>
                <td>0.93</td>
                <td>0.4761</td>
              </tr>
              <tr>
                <td>HDL</td>
                <td>Lean body mass</td>
                <td>0.07</td>
                <td>0.7876</td>
              </tr>
              <tr>
                <td/>
                <td>Sex</td>
                <td>6.43</td>
                <td>0.0130</td>
              </tr>
              <tr>
                <td/>
                <td>Diet</td>
                <td>0.38</td>
                <td>0.6846</td>
              </tr>
              <tr>
                <td/>
                <td>Time</td>
                <td>0.75</td>
                <td>0.5241</td>
              </tr>
              <tr>
                <td/>
                <td>Diet*Time</td>
                <td>0.17</td>
                <td>0.9840</td>
              </tr>
              <tr>
                <td>Triglyceride</td>
                <td>Lean body mass</td>
                <td>0.28</td>
                <td>0.6013</td>
              </tr>
              <tr>
                <td/>
                <td>Sex</td>
                <td>4.64</td>
                <td>0.0340</td>
              </tr>
              <tr>
                <td/>
                <td>Diet</td>
                <td>1.28</td>
                <td>0.2841</td>
              </tr>
              <tr>
                <td/>
                <td>Time</td>
                <td>18.67</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td/>
                <td>Diet*Time</td>
                <td>0.54</td>
                <td>0.7777</td>
              </tr>
              <tr>
                <td>Glucose</td>
                <td>Lean body mass</td>
                <td>2.77</td>
                <td>0.0997</td>
              </tr>
              <tr>
                <td/>
                <td>Sex</td>
                <td>0.64</td>
                <td>0.4261</td>
              </tr>
              <tr>
                <td/>
                <td>Diet</td>
                <td>1.10</td>
                <td>0.3374</td>
              </tr>
              <tr>
                <td/>
                <td>Time</td>
                <td>14.85</td>
                <td>&lt;0.0001</td>
              </tr>
              <tr>
                <td/>
                <td>Diet*Time</td>
                <td>    0.75</td>
                <td>    0.6101</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1841120404">
              <label/>
              <p>Description.Type III statistics test the overall effect of each of the variables including gender, experimental diet, time, and diet by time interaction after having accounted for the influence of all other variables on the outcome. The table presents the results from the individual marker mixed-effects model analysis performed on the listed outcomes. </p>
            </fn>
            <fn id="idm1841120260">
              <label/>
              <p>Abbreviations. HDL-high density lipoprotein, LDL-low density lipoprotein,</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p> Serum HDL levels differed by gender (p=0.0005), while burger type, time, and the               interaction term (burger type x time) did not have any significant effect (<xref ref-type="table" rid="idm1840932500">Table 3</xref>). Among females, WB burgers led to an increase in HDL levels while SH burgers did not change HDL levels. Among males, SH burgers slightly increased HDL levels while WB burgers decreased HDL levels at the last time point (t = 6 hours) compared to the immediately preceding time point. Serum HDL levels were unchanged when participants consumed the control burger. </p>
        <p>Serum triglyceride values vary significantly by gender (p = 0.0083) and time (p&lt;0.0001) (<xref ref-type="table" rid="idm1840932500">Table 3</xref>). Evaluating the graphs, adjusted for baseline values, in females, the peak in triglyceride  levels occurred between t = 2 hours and t = 4 hours postprandially. The highest serum triglyceride peak occurred when participants consumed the WB burger as compared to the consumption of the control or SH burgers. For males, the serum triglyceride peak occurred at t=4 hours, and was highest in those who consumed WB burgers. For females, evaluating the consecutive differences revealed that serum triglyceride levels decrease with the consumption of all three burgers. The most marked            differences occurred between the first (t = 0 hours) and second (t = 2 hours) time points and remain relatively stable comparing timepoints 2 (t = 2 hours) and 3 (t = 4 hours). In males, the evaluation of consecutive differences revealed that the serum triglyceride levels decrease over the six-hour period in all three burger types.  </p>
        <p>Serum glucose levels varied over time (p &lt; 0.0001) (). Graphical analysis revealed that postprandial changes were relatively consistent when comparing females and males. By the third time point (t = 4 hours postprandial), serum glucose levels had returned to baseline. A burger type by gender interaction term included in the modeling was not significant (data not shown). </p>
      </sec>
    </sec>
    <sec id="idm1841073836" sec-type="discussion">
      <title>Discussion</title>
      <p>In this pilot investigation, we evaluated the postprandial effects of WB or SH mushroom  supplementation into a high-fat meal regarding serum lipids (LDL, HDL, and triglycerides) and serum glucose amongst nine healthy participants. LDL levels differed significantly for both SH and WB burgers compared to the control burger over six hours. Subsequent statistical analysis demonstrated that SH-supplemented burgers significantly lowered serum LDL levels in both genders. Burger type did not affect triglyceride, HDL, and glucose levels. Triglyceride levels were higher in males and HDL levels were higher in females. Triglyceride and glucose levels were significantly higher during the postprandial timepoints 2 (t = 2 hours) and 3 (t = 4 hours). By timepoint 4 (t = 6 hours), triglyceride and glucose levels had returned to baseline (t = 0 hours) values.</p>
      <p>Primarily in industrialized countries, metabolic syndrome is an increasing health condition. The ineffectiveness of and/or the variable adherence of individuals to current therapeutic approaches has promoted searching for novel strategies to address obesity-related conditions. High-fat food               supplementation with mushroom powder has been proposed as a potential therapeutic intervention to improve cardiovascular and overall health status <xref ref-type="bibr" rid="ridm1842297524">6</xref>. In our study, we found that SH                        mushroom-powder supplementation of a high-fat meal significantly lowered LDL levels in comparison with WB mushroom-powder supplementation or no supplementation (control meal). Mushroom-supplementation of burgers did not significantly affect triglyceride, HDL, and glucose levels in both genders.</p>
      <p>Previous literature has documented no significant differences between glucose or triglyceride levels among participants who consumed a control meal and a meal fortified with mushrooms. For example, Dicks et al. did not observe any differences in glucose or triglyceride levels among 22               participants with impaired glucose tolerance when comparing a meal supplemented with 20g of Oyster mushroom powder rich in β-glucans to a control meal (i.e., a meal without mushroom supplementation) <xref ref-type="bibr" rid="ridm1842221580">20</xref>. β-glucans have been shown to alter lipid and glucose metabolism as well as to reduce             cholesterol, which has led to their investigation as potential therapies for metabolic syndrome and    obesity <xref ref-type="bibr" rid="ridm1842200900">21</xref>. Metabolic syndrome is a constellation of conditions associated with an increased risk of developing diabetes, obesity, and CVD that are caused by insulin resistance, including central obesity, hypertension, hyperglycemia, high serum triglyceride levels, and HDL levels <xref ref-type="bibr" rid="ridm1842197444">22</xref><xref ref-type="bibr" rid="ridm1842211772">23</xref>. The cholesterol-lowering effects of SH mushrooms are attributed to the mycochemical, eritadenine <xref ref-type="bibr" rid="ridm1842206804">24</xref>. Studies in rats have shown lower serum concentrations of triglycerides, non-HDL cholesterol, and total cholesterol in rats fed SH <xref ref-type="bibr" rid="ridm1842233172">16</xref>. </p>
      <p>Gender is an important modifying factor regarding postprandial lipemia. For example, in  response to fat obtained from either butter, coconut oil, olive oil, or canola oil, men exhibited a greater peak triglyceride response than women <xref ref-type="bibr" rid="ridm1842190196">25</xref>. Among men, those with a greater BMI (&gt;23 kg/m<sup>2</sup>)            compared to men with a lower BMI (&lt;23 kg/m<sup>2</sup>) exhibit a greater increase in postprandial lipemia in response to a high-fat meal <xref ref-type="bibr" rid="ridm1842186380">26</xref>. Differences in visceral adipose accumulation sites between men and women may account for the amplified postprandial response observed between the genders <xref ref-type="bibr" rid="ridm1842181484">27</xref>. Men tend to store fat primarily in the android regions (trunk/abdomen) and to experience visceral tissue fat accumulation. In a rodent study evaluating the lipid lowering effect of SH, female rats had lower             triglyceride and higher HDL levels compared with male rats <xref ref-type="bibr" rid="ridm1842233172">16</xref>. This study also illustrated that, at least in rats, SH’s ability to lower plasma lipids was equivalent between the genders, an effect that had previously been thought to be limited to male rats <xref ref-type="bibr" rid="ridm1842175580">28</xref>. </p>
      <p>Our results are consistent with several prior publications that have demonstrated that HDL levels are elevated in women while triglyceride levels are higher in men. Prior studies have shown that men have almost two-fold greater quantities of visceral adipose tissue compared to premenopausal women (as would be relevant to our participants who were all premenopausal) <xref ref-type="bibr" rid="ridm1842166292">29</xref>, and the accumulation of abdominal fat is associated strongly with alterations in lipoprotein concentrations. Von Hafe reported that in a study containing 77 men and 84 women, men had higher levels of visceral fat,                   higher plasma insulin, higher glucose, higher triglycerides, and lower HDL than women <xref ref-type="bibr" rid="ridm1842162692">30</xref>. Another study by Godsland et al. in 1987 reported that men are characterized by high fasting triglyceride and low HDL-cholesterol levels compared with women <xref ref-type="bibr" rid="ridm1842160100">31</xref>. Couillard et al. investigated the postprandial triglyceride response to a standardized meal and found that men had a significantly greater plasma triglyceride response compared with women <xref ref-type="bibr" rid="ridm1842181484">27</xref>. These investigators also found that men had                decreased HDL-cholesterol compared with women. Kolovou et al. replicated the same findings in a much larger cohort of participants (n=1385). Among these individuals (40% female), high triglyceride and low HDL-cholesterol were two times more common in men than women <xref ref-type="bibr" rid="ridm1842155708">32</xref>.</p>
      <p>Edible mushrooms have been shown to contain active compounds that exhibit antioxidant <xref ref-type="bibr" rid="ridm1842150740">33</xref>, anti-atherosclerotic <xref ref-type="bibr" rid="ridm1842149228">34</xref>, and hypoglycemic <xref ref-type="bibr" rid="ridm1842145484">35</xref> activities. An important consideration is               specifically how WB or SH mushrooms mediate their lipid-lowering effects. WB mushrooms have been shown to lower serum total cholesterol by upregulating hepatic LDL receptor mRNA expression <xref ref-type="bibr" rid="ridm1842142388">36</xref>. SH mushrooms have also been shown to reduce plasma cholesterol <xref ref-type="bibr" rid="ridm1842137348">37</xref>. Eritadenine, a                 compound isolated from SH mushrooms, is hypothesized to be the major mechanism by which total cholesterol and non-HDL cholesterol are decreased <xref ref-type="bibr" rid="ridm1842233172">16</xref>. Another potential lipid lowering mechanism is through decreased absorption of lipids from the gastrointestinal tract, such as through β-glucans <xref ref-type="bibr" rid="ridm1842291172">7</xref>. Further research is needed to clarify the exact pathways for lipid lowering mechanisms for both SH and WB mushrooms. Mushrooms have also been proposed to mediate their anti-obesogenic and             antidiabetic effects through a variety of biochemical and anti-inflammatory pathways <xref ref-type="bibr" rid="ridm1842234540">15</xref><xref ref-type="bibr" rid="ridm1842167660">38</xref><xref ref-type="bibr" rid="ridm1842104556">39</xref>. </p>
      <p>In this pilot study, we sought to investigate the antilipemic effects of a high-fat meal              supplemented with WB or SH mushroom powder compared to a control hamburger. The strength of this investigation is the longitudinal sampling and follow-up that enabled us to observe these effects on humans. The limitations of this work are the relatively small numbers of individuals enrolled and the only one-time meal administration (as opposed to assessing repeated measures of the same meal). However, Sciarrillo et al. recently published a study that included ten participants that evaluated the postprandial lipemic responses in triglycerides to four dietary fat sources <xref ref-type="bibr" rid="ridm1842190196">25</xref>. Our pilot study provides valuable information for how to design, execute, and scale similar dietary interventions using mushroom powder as a functional food in a conventional, Western high-fat meal. </p>
    </sec>
    <sec id="idm1841073908" sec-type="conclusions">
      <title>Conclusions</title>
      <p>We observed that LDL levels were significantly decreased in individuals who consumed SH burgers compared to WB or control burgers. Specifically, males had significantly higher serum              triglyceride and lower serum HDL levels in comparison with female participants. While glucose              levels were significantly affected by ingestion of any burger as expected, the levels did not vary               significantly when comparing the three burger types, and they followed a standard postprandial              glucose curve. Further investigation is required to assess whether SH and WB mushroom supplementation is effective in decreasing serum lipid concentrations in humans and whether these differences vary by gender. Further research is also needed to assess whether the postprandial effects on glucose and on lipids observed with SH and WB powder supplementation are generalizable to other types of mushrooms. Additional investigation is also needed to assess whether the effects of SH and WB            mushroom supplementation persist in individuals who have metabolic conditions, such as diabetes or hypercholesterolemia. These studies should also attempt to follow participants for a longer postprandial period (e.g., 12 or 24 hours).  </p>
    </sec>
    <sec id="idm1841070524">
      <title>Acknowledgments</title>
      <p>Horvath Laboratory Group: Harry Marsales, Theodore J. Robak, Courtney Miller, Alyssa Massaro, Taylor Furst, Zach Lamacchia; Dr. Todd C. Rideout, Associate Professor, UB Department of Exercise and Nutrition Science; Oakshire Farms, who generously donated the mushroom powders; Dedicated to Matthew J. Morris, whose work was crucial to project.  </p>
    </sec>
    <sec id="idm1841070812">
      <title>Funding</title>
      <p>This research was funded by State University of New York (SUNY), University at Buffalo (UB) Center for Undergraduate Research and Creative Activities (CURCA) Undergraduate Research Award. Oakshire Farms generously donated the shiitake and white button mushroom powders for this research. </p>
    </sec>
  </body>
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