<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">FNS</journal-id><journal-title-group><journal-title>Food and Nutrition Sciences</journal-title></journal-title-group><issn pub-type="epub">2157-944X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/fns.2022.134025</article-id><article-id pub-id-type="publisher-id">FNS-116484</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Effects of Soymilk on Serum Insulinemic Status and High Sensitivity C-Reactive Protein Levels in Healthy Postmenopausal Women of Bangladesh
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Farjana</surname><given-names>Rahman Bhuiyan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Israt</surname><given-names>Ara Hossain</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Khursheed</surname><given-names>Jahan</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liaquat</surname><given-names>Ali</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Institute of Nutrition &amp;amp; Food Science (INFS), University of Dhaka, Dhaka, Bangladesh</addr-line></aff><aff id="aff1"><addr-line>Bangladesh Institute of Research and Training on Applied Nutrition (BIRTAN), Narayanganj, Bangladesh</addr-line></aff><aff id="aff2"><addr-line>Department of Biochemistry &amp;amp; Cell Biology, Bangladesh University of Health Sciences (BUHS), Dhaka, Bangladesh</addr-line></aff><pub-date pub-type="epub"><day>12</day><month>04</month><year>2022</year></pub-date><volume>13</volume><issue>04</issue><fpage>337</fpage><lpage>348</lpage><history><date date-type="received"><day>14,</day>	<month>February</month>	<year>2022</year></date><date date-type="rev-recd"><day>9,</day>	<month>April</month>	<year>2022</year>	</date><date date-type="accepted"><day>12,</day>	<month>April</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  <b>Background:</b>
   Postmenopausal women are at increased risk for cardiac diseases because many risk factors are aggravated by menopause. Isoflavones are phytoestrogens present in natural sources, and they may modulate risk factors favorably, involving mechanisms similar to estrogen. The study aimed to assess the effects of soymilk on serum insulinemic status and hs-C reactive protein (CRP) levels of postmenopausal women of Bangladesh. <b>Methods:</b> Thirty-six women (aged 50 &#177; 5 years, M &#177; SD) participated in a randomized, un-blind, open
  -
  ended, crossover study design for 5
  2
   days. During the study period, the patients made four visits (before and after the intervention including the washout period). The soymilk group consumed 350 mL of milk twice a day for 21 days; the milk contained ~30 mg of isoflavones. Fasting blood glucose (FBG), postprandial glucose (PPG), HbA1c, serum insulin
  ,
   and hs-CRP were measured on day 0, day 21, day 31, and day 51 with a 10-day washout period. Paired t-test was performed to determine the effects of soymilk on the CVD risks among postmenopausal women and 
  a 
  student t-test was performed for group comparison. Statistical tests were considered significant at p value of ≤0.05. <b>Results:</b> The mean (&#177;SD) BMI of the postmenopausal women was 25.14 &#177; 3.55 kg/m<sup>2</sup>. 
  In 
  the consumption of soymilk no significant changes were found in glycemic, insulinemic
  ,
   and hs-CRP levels between and within the groups. After crossover, 
  a 
  significant change was observed in FBG (5.18 &#177; 0.49 vs 5.56 &#177; 0.43, p = 0.005) in the soymilk group. No significant changes were observed in other parameters within or between the groups. However, FBG and hs-CRP levels were found to improve but not significantly at the end of 51 days. <b>Conclusions:</b> Soy isoflavones did not improve serum insulinemic status and hs-C reactive protein (CRP) levels among Bangladeshi postmenopausal women. Further studies need to be elucidated by considering a follow-up study with 
  a 
  large sample size.
 
</p></abstract><kwd-group><kwd>Soymilk</kwd><kwd> Isoflavones</kwd><kwd> Postmenopausal Women</kwd><kwd> Hs-C Reactive Protein</kwd><kwd> Insulinemic Status</kwd><kwd> Bangladesh</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Cardiovascular diseases (CVDs) are the prominent cause of mortality and morbidity among postmenopausal women in developed as well as developing countries. The incidence of CVD is lower in premenopausal women than in men; however, CVD risk in postmenopausal women is 3.4 times that in premenopausal women [<xref ref-type="bibr" rid="scirp.116484-ref1">1</xref>]. These differences in risk may be partially associated with increases in C reactive protein (CRP) [<xref ref-type="bibr" rid="scirp.116484-ref2">2</xref>]. Elevated CRP, a marker of acute inflammation, is a reliable predictor of CVD [<xref ref-type="bibr" rid="scirp.116484-ref3">3</xref>]. On the other hand, studies had shown that hormone therapy results in a short-term rise in CRP [<xref ref-type="bibr" rid="scirp.116484-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.116484-ref5">5</xref>].</p><p>HRT is used to improve the quality of life of menopausal women, but due to its high expense and probable serious side effects (i.e. endometrial hyperplasia, endometrial carcinoma, and uterine hemorrhage), it is now seriously thought that alternative therapy is necessary. Under this context, a baseline survey was conducted in BIRDEM [<xref ref-type="bibr" rid="scirp.116484-ref6">6</xref>] for determining the quantitative and qualitative intake of phytoestrogens contents of food (like soymilk, lentil, wheat, rice, fruits, beans, cabbage, onion, garlic, potato, tomato, etc.) in Bangladeshi postmenopausal women and its relation to clinical outcome. This has resulted in a renewed interest in research that investigates the health benefits of soymilk and it was found that phytoestrogens in soymilk significantly reduce menopausal symptoms. The FDA approved a food label claim that 25 g soy protein/d may help prevent coronary heart disease [<xref ref-type="bibr" rid="scirp.116484-ref7">7</xref>], based on reductions in lipids and lipoproteins. The result of epidemiological studies suggests that soy protein or its components (isoflavones) may protect against the atherosclerotic CVD risk factors hs-CRP, which generally increase with menopause [<xref ref-type="bibr" rid="scirp.116484-ref2">2</xref>]. However, the effects of phytoestrogens on insulin resistance have not had consistent results and are more difficult to interpret because insulin resistance was not the primary outcome. These limited studies on insulin resistance were also performed in different study populations, postmenopausal women with type 2 diabetes [<xref ref-type="bibr" rid="scirp.116484-ref8">8</xref>] and premenopausal women [<xref ref-type="bibr" rid="scirp.116484-ref9">9</xref>], therefore difficult to compare.</p><p>Soybean products are now marketed in Bangladesh and those can contribute to the health and wellbeing of our population. The popularization of the products is, however, slow and a major reason for the lower rate of market growth is the lack/shortage of evidence on the health consequences of these products. Postmenopausal women create a substantial family and social burden. In Bangladesh, so far no study has addressed the reduction of postmenopausal problems through diet-based strategies. The aim of this study was to investigate the effect of soymilk on serum insulinemic status and hs-C reactive protein levels in healthy postmenopausal women of Bangladesh.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Subjects</title><p>The study was conducted at the Department of Biomedical Research Group (BMRG), BIRDEM, Dhaka, Bangladesh, during March-October 2012. Thirty-six postmenopausal women partook in the study. The study included those who were aged between &gt;50 years; postmenopausal without the menstrual stage for at least one year; non-user of HRT and had an intact uterus, and also willing to obey the protocol and agreed to sign the written informed consensus. The study excluded those that were receiving any oral contraceptives or hormone replacement therapy within the last three months; those that had a menstrual period of &lt;12 months before initiation of the study protocol; those with any chronic illness advised for hospitalization; and those who were unable to answer. The minimum sample size required was calculated using the formula [<xref ref-type="bibr" rid="scirp.116484-ref10">10</xref>] (μ1 − μ2)<sup>2</sup> = f(α, P)σ<sup>2</sup>(1/n + 1/n); where, μ1 − μ2 = 1; significance level (α) = 0.05; power (P) = 0.09, which gives f(α, P) = 10.5; σ = 1.0.</p></sec><sec id="s2_2"><title>2.2. Study Design</title><p>This randomized, un-blinded, open-ended, crossover study lasted for 52 days. During the study period, the patients made four visits (before and after the intervention including the washout period). All the postmenopausal women were randomly parted into two groups: Group A and Group B. The postmenopausal women of Group A received soymilk and of Group B received a conventional diet for three weeks and after the 10 days washout period, Group B received soymilk, and group A received a conventional diet for an additional three weeks (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The soymilk groups consumed 350 mL of soymilk twice a day; the milk contained ~30 mg of isoflavones. The number of isoflavones was calculated following the instructions of the Japan-Bangladesh Cultural Exchange Association [<xref ref-type="bibr" rid="scirp.116484-ref11">11</xref>]. An amount of 350 mL soymilk was prepared from the 100 g of bean following the standard procedure and kept in the refrigerator [<xref ref-type="bibr" rid="scirp.116484-ref11">11</xref>]. On the appointment date, study subjects visited the Department after overnight (8 - 12 hours) fasting. Fasting blood samples (5 mL) were drawn from the antecubital vein of the subjects. The time of drawing blood samples was recorded as 0 minutes. Then the subjects received a specific amount of soymilk for three weeks. Blood parameters (FBG, PPG, HbA1c, Fasting Insulin, and hs-CRP) were measured on day 0 and again on day 21 after taking soymilk, before and after day 31, and day 51 after the 10 days washout period. During this experiment, the subjects were requested not to take any kind of rich food and isoflavones-rich</p><p>foods, like mung, masoor dals, soybean, raw garlic, green bean, potatoes, sweet potatoes, nuts, chickpeas, wheat flour, grapefruit, dates, egg, and nut.</p><p>The blood samples were taken in a heparin-containing tube and centrifuged immediately. The serum was separated from the blood samples and stored at −30˚C for biochemical analysis.</p></sec><sec id="s2_3"><title>2.3. Laboratory Analyses</title><p>Fasting serum glucose was analyzed using the glucose oxidase method (Randox, UK). The high-performance liquid chromatography (HPLC) method (Variant II, Bio-Rad Laboratories, Hercules, CA, USA) was used for measuring glycated haemoglobin (HbA1c). Serum insulin and hs-CRP were determined by ELISA technique using commercial kits (DRG-International, Germany) and their optical density (OD) was measured by ELISA plate reader (Multiscan FC, USA). The inter- and intra-assay coefficient of variation (% CV) for FSG, insulin and hs-CRP were 3.35%, 4.33% and 5.12% and 2.1%, 3.11% and 4.01% respectively. Insulin secretory function (HOMA%B) and insulin sensitivity (HOMA%S) were calculated from fasting serum glucose and fasting serum insulin values by homeostasis model assessment (HOMA) using HOMACIGMA software. Insulin resistance was quantified by homeostasis model assessment of insulin resistance (HOMA-IR) and calculated according to the formula: HOMA-IR = Fasting serum insulin (&#181;IU/mL) &#215; fasting serum glucose (mmol/L)/22.5 [<xref ref-type="bibr" rid="scirp.116484-ref12">12</xref>].</p></sec><sec id="s2_4"><title>2.4. Statistical Analysis</title><p>Statistical tests were considered significant at the p-value of ≤0.05. Results were expressed as M &#177; SD for descriptive analysis. A paired t-test was performed to determine the effects of soymilk on the CVD risks among postmenopausal women. Besides, a student t-test was performed for group comparison. The statistical package for social science (SPSS) software (Windows version 16.0) was used for the analysis and interpretation of data.</p></sec><sec id="s2_5"><title>2.5. Ethical Aspects</title><p>Informed written consent was obtained from all the participants after a full explanation of the nature, purpose, and procedures used for the study. Ethical approval was obtained from the ethics and research review committees of the Diabetic Association of Bangladesh.</p></sec></sec><sec id="s3"><title>3. Result</title><p>The mean age of the postmenopausal women was 50 &#177; 5 years, and the mean duration of their menopause was 4 &#177; 2.71 years. Of the study subjects, 94.4% came from the urban area. The mean duration of years of education was 8 &#177; 4 years. Nearly half (41.7%) of the menopausal women had a monthly family expenditure of Tk 5000 - 10,000/-, and 27.4% were homemakers.</p><p>The biochemical characteristics of the study subjects (n = 36) were given in <xref ref-type="table" rid="table1">Table 1</xref>. Variables were expressed as Mean &#177; SD, <xref ref-type="fig" rid="fig2">Figure 2</xref> shows the distribution of the study subjects according to different BMI categories (adapted from WHO guideline, 2004) [<xref ref-type="bibr" rid="scirp.116484-ref13">13</xref>]. The mean (&#177;SD) BMI was 25.14 &#177; 3.55 kg/m<sup>2</sup>. Of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Baseline characteristics of the study subjects (n = 36)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Mean &#177; SD</th></tr></thead><tr><td align="center" valign="middle" >Body mass index (kg/m<sup>2</sup>)</td><td align="center" valign="middle" >25.14 &#177; 3.55</td></tr><tr><td align="center" valign="middle" >Systolic blood pressure (mmHg)</td><td align="center" valign="middle" >114 &#177; 11.61</td></tr><tr><td align="center" valign="middle" >Diastolic blood pressure (mmHg)</td><td align="center" valign="middle" >75 &#177; 10.03</td></tr><tr><td align="center" valign="middle" >Fasting blood glucose (mmol/L)</td><td align="center" valign="middle" >5.37 &#177; 0.68</td></tr><tr><td align="center" valign="middle" >Postprandial glucose (mmol/L)</td><td align="center" valign="middle" >6.42 &#177; 1.02</td></tr><tr><td align="center" valign="middle" >HbA1c (%)</td><td align="center" valign="middle" >5.92 &#177; 0.61</td></tr><tr><td align="center" valign="middle" >Fasting Insulin (&#181;IU/ml)</td><td align="center" valign="middle" >17.08 &#177; 9.41</td></tr><tr><td align="center" valign="middle" >HOMA-IR</td><td align="center" valign="middle" >4.06 &#177; 2.19</td></tr><tr><td align="center" valign="middle" >HOMA%B</td><td align="center" valign="middle" >160 &#177; 80.22</td></tr><tr><td align="center" valign="middle" >HOMA%S</td><td align="center" valign="middle" >48 &#177; 20.95</td></tr><tr><td align="center" valign="middle" >hs-CRP (mg/l)</td><td align="center" valign="middle" >2.25 &#177; 1.23</td></tr></tbody></table></table-wrap><p>Results are expressed as mean &#177; SD, number (%).</p><p>the postmenopausal women, 28% were at increased risk, and 44% were at acceptable risk.</p><p>The effects of soymilk on glycemic, insulinemic, and hs-CRP levels of postmenopausal women were shown in <xref ref-type="table" rid="table2">Table 2</xref>. No significant changes were observed between the two groups.</p><p>After crossover, a significant change was observed in FBG (5.56 &#177; 0.43 vs 5.18 &#177; 0.49, p = 0.005) in the soymilk group. No significant changes were observed in other parameters within or between the groups (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Levels of serum insulin, HOMA-IR, HOMA%B, HOMA%S, and hs-CRP were estimated for each subject at the beginning of the study and at the end of 51 days. FBG and hs-CRP levels were found to improve but not significantly (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>Since inflammation is believed to have a part in the pathogenesis of cardiovascular diseases, the measurement of inflammatory markers has been projected as a process to recover the prediction of the risk of these events. hs-CRP proved to be the strongest and most significant predictor of the risk of probable cardiovascular events. In the present study, the intake of soymilk (~30-mg dietary isoflavones) by the postmenopausal women slightly altered the level of hs-CRP but not significantly. This result coincides with results of some double-blind, placebo-controlled, randomized, crossover intervention studies [<xref ref-type="bibr" rid="scirp.116484-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.116484-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.116484-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.116484-ref17">17</xref>] where 50 - 100 mg of dietary isoflavones did not show any effect on hs-CRP in healthy postmenopausal women. Results of another study revealed that dietary isoflavones intake significantly reduced serum CRP and iron stores in menopausal women [<xref ref-type="bibr" rid="scirp.116484-ref18">18</xref>].</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Effect of Soymilk on glycemic, insulinemic and hs-CRP levels of subjects during 0 - 21 days (n = 18 in each group)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >0 day</th><th align="center" valign="middle" >21 days</th><th align="center" valign="middle" >p value</th></tr></thead><tr><td align="center" valign="middle" >hs-CRP (mg/l)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >2.39 &#177; 1.32</td><td align="center" valign="middle" >2.29 &#177; 2.10</td><td align="center" valign="middle" >0.838</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >2.10 &#177; 1.15</td><td align="center" valign="middle" >2.28 &#177; 1.54</td><td align="center" valign="middle" >0.505</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.487</td><td align="center" valign="middle" >0.982</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >FBG (mmol/l)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >5.28 &#177; 0.65</td><td align="center" valign="middle" >5.39 &#177; 0.69</td><td align="center" valign="middle" >0.467</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >5.46 &#177; 0.72</td><td align="center" valign="middle" >5.33 &#177; 0.57</td><td align="center" valign="middle" >0.369</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.442</td><td align="center" valign="middle" >0.774</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >S Insulin (pmol/L)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >111.80 &#177; 44.33</td><td align="center" valign="middle" >107.42 &#177; 34.55</td><td align="center" valign="middle" >0.684</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >107.68 &#177; 42.13</td><td align="center" valign="middle" >102.27 &#177; 47.17</td><td align="center" valign="middle" >0.435</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.777</td><td align="center" valign="middle" >0.711</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HOMA-IR</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >2.07 &#177; 0.79</td><td align="center" valign="middle" >2.01 &#177; 0.62</td><td align="center" valign="middle" >0.736</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >2.02 &#177; 0.77</td><td align="center" valign="middle" >1.91 &#177; 0.86</td><td align="center" valign="middle" >0.422</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.842</td><td align="center" valign="middle" >0.707</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HOMA%B</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >147.49 &#177; 64.81</td><td align="center" valign="middle" >136.95 &#177; 45.17</td><td align="center" valign="middle" >0.484</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >132.14 &#177; 49.76</td><td align="center" valign="middle" >130.19 &#177; 43.88</td><td align="center" valign="middle" >0.797</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.431</td><td align="center" valign="middle" >0.652</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HOMA%S</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >56.23 &#177; 23.79</td><td align="center" valign="middle" >54.63 &#177; 16.88</td><td align="center" valign="middle" >0.762</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >57.57 &#177; 23.89</td><td align="center" valign="middle" >62.89 &#177; 27.99</td><td align="center" valign="middle" >0.393</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.867</td><td align="center" valign="middle" >0.291</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Results are expressed as mean &#177; SD; Paired t-test was used for comparing day 0 vs day 21 values; Student’s t-test was used for group comparison; p &lt; 0.05 was considered statistically significant; hs-CRP = high sensitivity C-Reactive Protein, FBG = Fasting blood glucose; HOMA%B = β cell function assessed by homeostasis model assessment; HOMA%S = insulin sensitivity assessed by homeostasis model assessment; HOMA-IR = insulin resistance assessed by homeostasis model assessment.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Effect of Soymilk on glycemic, insulinemic and hs-CRP levels of subjects during 31 - 51 days (n = 18 in each group)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >31 days</th><th align="center" valign="middle" >51 days</th><th align="center" valign="middle" >p value</th></tr></thead><tr><td align="center" valign="middle" >hs-CRP (mg/l)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >2.12 &#177; 0.99</td><td align="center" valign="middle" >1.97 &#177; 1.13</td><td align="center" valign="middle" >0.446</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >1.93 &#177; 1.21</td><td align="center" valign="middle" >2.42 &#177; 1.71</td><td align="center" valign="middle" >0.201</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.625</td><td align="center" valign="middle" >0.356</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >FBG (mmol/l)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >5.39 &#177; 0.51</td><td align="center" valign="middle" >5.23 &#177; 0.49</td><td align="center" valign="middle" >0.338</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >5.56 &#177; 0.43</td><td align="center" valign="middle" >5.18 &#177; 0.49</td><td align="center" valign="middle" >0.005</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.297</td><td align="center" valign="middle" >0.761</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >S Insulin (pmol/L)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >103.76 &#177; 34.12</td><td align="center" valign="middle" >103.75 &#177; 38.73</td><td align="center" valign="middle" >0.999</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >119.92 &#177; 41.39</td><td align="center" valign="middle" >109.49 &#177; 38.35</td><td align="center" valign="middle" >0.243</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.210</td><td align="center" valign="middle" >0.658</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HOMA-IR</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >1.95 &#177; 0.65</td><td align="center" valign="middle" >1.93 &#177; 0.72</td><td align="center" valign="middle" >0.915</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >2.25 &#177; 0.75</td><td align="center" valign="middle" >2.03 &#177; 0.71</td><td align="center" valign="middle" >0.177</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.206</td><td align="center" valign="middle" >0.678</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HOMA%B</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >128.30 &#177; 28.16</td><td align="center" valign="middle" >136.94 &#177; 39.04</td><td align="center" valign="middle" >0.418</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >135.21 &#177; 41.65</td><td align="center" valign="middle" >144.92 &#177; 35.15</td><td align="center" valign="middle" >0.343</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.564</td><td align="center" valign="middle" >0.524</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HOMA%S</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >56.70 &#177; 18.50</td><td align="center" valign="middle" >58.27 &#177; 19.64</td><td align="center" valign="middle" >0.792</td></tr><tr><td align="center" valign="middle" >Soymilk Group</td><td align="center" valign="middle" >50.02 &#177; 18.90</td><td align="center" valign="middle" >55.79 &#177; 21.09</td><td align="center" valign="middle" >0.205</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >0.292</td><td align="center" valign="middle" >0.718</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Results are expressed as mean &#177; SD; Paired t-test was used for comparing day 0 vs day 21 values; Student’s t-test was used for group comparison; p &lt; 0.05 was considered statistically significant; hs-CRP = high sensitivity C-Reactive Protein, FBG = Fasting blood glucose; HOMA%B = β cell function assessed by homeostasis model assessment; HOMA%S = insulin sensitivity assessed by homeostasis model assessment; HOMA-IR = insulin resistance assessed by homeostasis model assessment.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Changes of glycemic, insulinemic and hs-CRP status at baseline and after day 51 of intervention in postmenopausal women (n = 36)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Baseline</th><th align="center" valign="middle" >End-point</th><th align="center" valign="middle" >p value</th></tr></thead><tr><td align="center" valign="middle" >hs-CRP (mg/l)</td><td align="center" valign="middle" >2.14 &#177; 1.16</td><td align="center" valign="middle" >2.24 &#177; 1.63</td><td align="center" valign="middle" >0.559</td></tr><tr><td align="center" valign="middle" >FBG (mmol/L)</td><td align="center" valign="middle" >5.42 &#177; 0.59</td><td align="center" valign="middle" >5.29 &#177; 0.56</td><td align="center" valign="middle" >0.061</td></tr><tr><td align="center" valign="middle" >S Insulin (pmol/L)</td><td align="center" valign="middle" >110.79 &#177; 40.26</td><td align="center" valign="middle" >105.73 &#177; 39.22</td><td align="center" valign="middle" >0.249</td></tr><tr><td align="center" valign="middle" >HOMA-IR</td><td align="center" valign="middle" >2.07 &#177; 0.73</td><td align="center" valign="middle" >1.97 &#177; 0.72</td><td align="center" valign="middle" >0.202</td></tr><tr><td align="center" valign="middle" >HOMA%B</td><td align="center" valign="middle" >135.78 &#177; 47.50</td><td align="center" valign="middle" >137.25 &#177; 40.47</td><td align="center" valign="middle" >0.789</td></tr><tr><td align="center" valign="middle" >HOMA%S</td><td align="center" valign="middle" >55.13 &#177; 21.18</td><td align="center" valign="middle" >57.90 &#177; 21.56</td><td align="center" valign="middle" >0.304</td></tr></tbody></table></table-wrap><p>Results are expressed as mean &#177; SD; Paired t-test was used for hypothesis testing, p &lt; 0.05 was considered statistically significant; hs-CRP = C-reactive protein, FBG = Fasting blood glucose; HOMA%B = β cell function assessed by homeostasis model assessment; HOMA%S = insulin sensitivity assessed by homeostasis model assessment; HOMA-IR = insulin resistance assessed by homeostasis model assessment.</p><p>After menopause glucose metabolism changes in women happen within the setting of decreasing estrogen levels, rolling age, and altered abdominal fat distribution. Numerous investigations have confirmed that insulin resistance is significantly higher in postmenopausal women compared to their premenopausal counterparts. These issues may affect these women to generate cardiovascular disease and type-2 diabetes [<xref ref-type="bibr" rid="scirp.116484-ref19">19</xref>]. In vitro and animal studies have suggested that soy protein and isoflavones have promising effects on glucose and insulin regulation, but intervention studies in humans are limited.</p><p>However, this study result is similar to the results of some other intervention studies where dietary isoflavones did not show any effect on glycemic and insulin resistance in the postmenopausal women who had been treated for breast cancer [<xref ref-type="bibr" rid="scirp.116484-ref20">20</xref>] and among postmenopausal Chinese women with prediabetes [<xref ref-type="bibr" rid="scirp.116484-ref21">21</xref>]. Nevertheless, other trials showed no significant benefits in any of the glycemic parameters after 03 months of high dose (160 mg) isoflavones in healthy postmenopausal women [<xref ref-type="bibr" rid="scirp.116484-ref19">19</xref>].</p><p>Results of another study revealed that soy phytoestrogen or its subgroup isoflavones favorably alters glycemic control and insulin resistance in postmenopausal women with type 2 diabetes [<xref ref-type="bibr" rid="scirp.116484-ref22">22</xref>]. A study showed that fasting glucose and insulin levels were significantly affected by isoflavones treatments after 6 months in Taiwanese postmenopausal women [<xref ref-type="bibr" rid="scirp.116484-ref23">23</xref>].</p><p>The recognition of the physiologic effects of dietary soy is a complicated issue because soy protein contains many components, such as isoflavones, phytate, saponins, and β-conglycinin, each of which may be accountable for the beneficial consequence. Differing results between the present study and others may be influenced due to the lack of extraction of isoflavones in soymilk, failure to quantify individual isoflavones quantity, calculated total isoflavones using literature assessment [<xref ref-type="bibr" rid="scirp.116484-ref11">11</xref>], and the shortage period of intervention. Besides this, the present study also had a couple of limitations, such as study design, the short period of intervention, usages of literature-based value, and failure to monitor the patients.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In the present study, we were unable to show improvement in any inflammatory markers or glycemic status in generally healthy postmenopausal women of Bangladesh after consuming soymilk. However, the comparatively small sample size and short duration of follow-up are strong limitations, and thus the null results can be treated only as preliminary and should be interpreted with caution. If the prolonged practices of the regimen can be run, there is a possibility of the beneficial effect of soymilk on CVD risks among Bangladeshi postmenopausal women.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We highly acknowledge Dr. Farzana Salah, Head, Department of the Community Nutrition, Bangladesh University of Health Sciences (BUHS), for her guidance during conducting the research. We also thank the postmenopausal women who participated in the study. We acknowledge the Diabetic Association of Bangladesh for the technical support.</p></sec><sec id="s7"><title>Authors’ Contributions</title><p>FRB: contributed her intellectual ability to conception and design of the research, analysis, and interpretation of data; drafting the article, revising it critically for important intellectual content; and final approval of the version to be published. IRH: contributed her intellectual skill in the analysis and interpretation of data. KJ: contributed her intellectual skill in the revision of the manuscript. LA: revision of the manuscript for important intellectual content. All of the above authors clearly fully read and approved the final manuscript.</p></sec><sec id="s8"><title>Funding</title><p>The study was partly supported by the Research and Development (R &amp; D) fund and the award no. 39.012.002.02.01.017.2014/R &amp; D-16/90 from the Ministry of Science and Technology (MOST), Government of the People’s Republic of Bangladesh.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The authors declare that they have no competing interests.</p></sec><sec id="s10"><title>Cite this paper</title><p>Bhuiyan, F.R., Hossain, I.A., Jahan, K. and Ali, L. (2022) Effects of Soymilk on Serum Insulinemic Status and High Sensitivity C-Reactive Protein Levels in Healthy Postmenopausal Women of Bangladesh. Food and Nutrition Sciences, 13, 337-348. https://doi.org/10.4236/fns.2022.134025</p></sec><sec id="s11"><title>Abbreviations</title><p>hs-CRP: high sensitivity-C Reactive Protein</p><p>FBG: Fasting Blood Glucose</p><p>PPG: Postprandial Glucose</p><p>BMI: Body Mass Index</p><p>WHO: World Health Organization</p><p>BIRTAN: Bangladesh Institute of Research and Training on Applied Nutrition</p></sec></body><back><ref-list><title>References</title><ref id="scirp.116484-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Witteman, J.C.M., Grobbee, D.E., Kok, F.J., Hofman, A. and Valkenburg, H.A. (1989) Increased Risk of Atherosclerosis in Women after the Menopause. British Medical Journal, 298, 642-644. https://doi.org/10.1136/bmj.298.6674.642</mixed-citation></ref><ref id="scirp.116484-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Hanson, L.N., Engelman, H.M., Alekel, D.L., Schalinske, K.L., Kohut, M.L. and Reddy, M.B. 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