<?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">
    jbm
   </journal-id>
   <journal-title-group>
    <journal-title>
     Journal of Biosciences and Medicines
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2327-5081
   </issn>
   <issn publication-format="print">
    2327-509X
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/jbm.2025.134011
   </article-id>
   <article-id pub-id-type="publisher-id">
    jbm-141925
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Biomedical 
     </subject>
     <subject>
       Life Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Evaluation of Hypoglycemic Effects of a Variety of Chinese Herbal Medicines Based on Silkworm (Bombyx mori) Model
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Cheng
      </surname>
      <given-names>
       Tan
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Huani
      </surname>
      <given-names>
       Chen
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Rong
      </surname>
      <given-names>
       Li
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Jiaming
      </surname>
      <given-names>
       Hou
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Nan
      </surname>
      <given-names>
       Chen
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Li
      </surname>
      <given-names>
       Qian
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aGraduate School, Youjiang Medical University for Nationalities, Baise, China
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDrug and Food Vocational College, Guangxi Vocational University of Agriculture, Nanning, China
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     31
    </day> 
    <month>
     03
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    13
   </volume> 
   <issue>
    04
   </issue>
   <fpage>
    115
   </fpage>
   <lpage>
    127
   </lpage>
   <history>
    <date date-type="received">
     <day>
      6,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      11,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      11,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    <b>Objectiv</b>
    <b>e:</b> To establish a low-cost way to evaluate the efficacy of hypoglycemic herbs. 
    <b>Methods: </b>The silkworms were divided into control group, model group, metformin group, and various herbal extracts group, and were reared at 16˚C - 20˚C until the sixth day of modeling, and blood glucose was detected in all silkworms on the sixth day. 
    <b>Results:</b> High-jasmine crude polysaccharide (H-JCP), total flavonoids of Paederia scandens (TFPS), total flavonoids of hibiscus flowers (TFHF), low-total flavonoids of chamomile (L-TFC), high-total flavonoids of chamomile (H-TFC), low-total flavonoids of potentilla discolor (L-TFPD), high-total flavonoids of potentilla discolor (H-TFPD), low-golden flowers tea extract (L-GFTE), high-golden flowers tea extract (H-GFTE), low-guava extract (L-GE) and high-guava extract(H-GE) had different hypoglycemic effects in the silkworm, respectively, H-JCP, TFPS, TFHF, H-TFC had a certain inhibitory effect on α-glucosidase activity, while crude polysaccharide of Polyporus umbellatus (CPPU), buckwheat shell total flavonoids (BSTF), low-hawthorn leaves flavonoids (L-HLF) and high-hawthorn leaves flavonoids (H-HLF) were not as effective in lowering the hypoglycemic effect. 
    <b>Conclusion:</b> A model of diabetes in the silkworm, established at low temperatures, allowed a preliminary evaluation of the hypoglycemic effect of the herbal extracts.
   </abstract>
   <kwd-group> 
    <kwd>
     Silkworm
    </kwd> 
    <kwd>
      Diabetes
    </kwd> 
    <kwd>
      Chinese Herbs
    </kwd> 
    <kwd>
      α-Glycosidase
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Diabetes mellitus (DM) has become a major public health problem that cannot be ignored globally, according to the International Diabetes Federation (IDF) survey, more than 1.31 billion people are expected to have diabetes by 2050, with the majority having type 2 diabetes <xref ref-type="bibr" rid="scirp.141925-1">
     [1]
    </xref>. The establishment of diabetic animal model is an important basis for the study of the occurrence and development of diabetes, and it is also a key link in the study of new therapeutic drugs <xref ref-type="bibr" rid="scirp.141925-2">
     [2]
    </xref>. In order to find therapeutic countermeasures for diabetes and develop new hypoglycemic drugs, researchers have used a large number of mammals to model diabetes, such as mice, rats, pigs, etc. However, these mammals inevitably suffer from the problems of high cost and long modeling period <xref ref-type="bibr" rid="scirp.141925-3">
     [3]
    </xref>. In our previous report, stable diabetes could be modeled by rearing domestic silkworms at low temperatures through high-sugar mulberry leaves <xref ref-type="bibr" rid="scirp.141925-4">
     [4]
    </xref>. In addition, the silkworm has pharmacokinetic and pharmacodynamic properties similar to those of mammals, which makes the silkworm potential as an animal model for large-scale drug screening <xref ref-type="bibr" rid="scirp.141925-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.141925-6">
     [6]
    </xref>. China has rich resources of Chinese herbal medicine, flavonoids <xref ref-type="bibr" rid="scirp.141925-7">
     [7]
    </xref>, polysaccharides <xref ref-type="bibr" rid="scirp.141925-8">
     [8]
    </xref>, saponins <xref ref-type="bibr" rid="scirp.141925-9">
     [9]
    </xref>, and triterpenoids <xref ref-type="bibr" rid="scirp.141925-10">
     [10]
    </xref> components in Chinese herbal medicines may have hypoglycemic effects, and those treated with herbal medicines also have the advantages of good safety and few side effects. Guava and hibiscus flowers contain abundant flavonoids, which may have potential hypoglycemic effects. In addition, plants from natural sources such as golden flowers tea and jasmine were selected, among which polysaccharides and other bioactive components may also have potential hypoglycemic effects. We envisioned that the silkworm, as an animal model of diabetes mellitus, was given herbal extracts as well as metformin for preliminary evaluation of the hypoglycemic effect of other herbal extracts using the hypoglycemic criteria of metformin. In addition, alpha-glucosidase inhibitors (AGIs) are effective in lowering blood glucose levels and have attracted much attention in diabetes research <xref ref-type="bibr" rid="scirp.141925-11">
     [11]
    </xref>. Due to the advantages of low cost of silkworm rearing, simple operation and short molding time, several herbs with good hypoglycemic effect in silkworms were selected for the study of α-glucosidase inhibitory activity, which may provide a low-cost way to screen hypoglycemic drugs in the future.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <sec id="s2_1">
    <title>2.1. Animals</title>
    <p>The domestic silkworm variety selected for this experiment was Liangguang II, purchased from Shanglin County, Guangxi, China. It was reared by sericulturists until the end of the fourth year of age before purchase, and then reared to the fifth year of age in a room-temperature environment after transferring to the laboratory.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Preparation of Chinese Herbs</title>
    <p>Jasmine, hawthorn leaves, Paederia scandens, Polyporus umbellatus, buckwheat shell, hibiscus flowers, Golden flowers tea, Guava, Chamomile, etc. were purchased in China National Pharmaceutical Group Corporation. With the help of the members of this research group, the Chinese herbal medicine was dried after cleaning to remove the dust, and the dried Chinese herbal medicine was crushed, and then concentrated using a rotary evaporator to obtain a concentrated extract. Finally, the concentrated extract was cooled and placed in a refrigerator at 4˚C for use.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Feed Preparation</title>
    <p>The rhizomes of the freshly picked mulberry leaves were subtracted, and only the leaves were retained, and subsequently stored in a 4˚C refrigerator. A 20% glucose solution was prepared by weighing 20 g of anhydrous glucose and adding 80 ml of water. A sufficient amaount of 20% glucose solution was configured according to the above ratio, and then different doses of metformin as well as herbal extracts were added directly and mixed thoroughly to configure different concentrations of drug-containing glucose solutions (<xref ref-type="table" rid="table1">
      Table 1
     </xref>). Fresh leaves were weighed 20 g each and sprayed with sugar solution and drug-containing sugar solution at a distance of 10 - 20 cm from the back of the leaves until the final weight was 25 g. Afterwards, half of the leaves were fed on the same day, and the remaining half was put into the refrigerator at 4˚C for storage, and the mulberry leaves had to be dried again before feeding on the second day.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.141925-"></xref>Table 1. Drug ratios for each experimental group.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="54.76%"><p style="text-align:center">Group</p></td> 
       <td class="custom-bottom-td acenter" width="13.79%"><p style="text-align:center">20% glucose solution (ml)</p></td> 
       <td class="custom-bottom-td acenter" width="13.80%"><p style="text-align:center">Extract mass (mg)</p></td> 
       <td class="custom-bottom-td acenter" width="17.66%"><p style="text-align:center">Final concentration (mg/ml)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="54.76%"><p style="text-align:center">Metformin</p></td> 
       <td class="custom-top-td acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="custom-top-td acenter" width="13.80%"><p style="text-align:center">100</p></td> 
       <td class="custom-top-td acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Low-jasmine crude polysaccharide (L-JCP)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">1</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.01</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">High-jasmine crude polysaccharide (H-JCP)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">50</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Low-hawthorn leaves flavonoids (L-HLF)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">1</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.01</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">High-hawthorn leaves flavonoids (H-HLF)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">50</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Low-total flavonoids of potentilla discolor (L-TFPD)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">5</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.025</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">High-total flavonoids of potentilla discolor (H-TFPD)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Low-golden flowers tea extract (L-GFTE)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">5</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.025</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">High-golden flowers tea extract (H-GFTE)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Low-guava extract (L-GE)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">10</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.05</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">High-guava extract (H-GE)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Low-total flavonoids of chamomile (L-TFC)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">High-total flavonoids of chamomile (H-TFC)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Total flavonoids of Paederia scandens (TFPS)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Crude polysaccharide of Polyporus umbellatus (CPPU)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Buckwheat shell total flavonoids (BSTF)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.76%"><p style="text-align:center">Total flavonoids of hibiscus flowers (TFHF)</p></td> 
       <td class="acenter" width="13.79%"><p style="text-align:center">200</p></td> 
       <td class="acenter" width="13.80%"><p style="text-align:center">100</p></td> 
       <td class="acenter" width="17.66%"><p style="text-align:center">0.5</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s2_4">
    <title>2.4. Environment</title>
    <p>The silkworms were placed individually in biodegradable plastic tubs with a layer of absorbent paper at the bottom to facilitate daily clean up. To prolong the survival period of 5-year-old silkworms without affecting their normal physiological functions, this leads to a better observation of the changes after eating herbs. Consequently, the plastic pots were placed in a constant temperature and humidity cabinet (Curtis Chao Cheng XR-245L, China) for 6 days at a constant temperature of 16˚C - 18˚C and relative humidity of 65% - 75%.</p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Animal Modeling and Treatment</title>
    <p>Fifth instar silkworm larvae (both male and female) weighing 0.9 g to 1.0 g, which were in good growth condition and healthy, were randomly selected and divided into 28 groups (n = 20), the control group was fed with fresh mulberry leaves, the model group was fed with sugar-containing solution, the metformin group was fed with sugar solution containing metformin, and the rest of the herbal groups were fed with sugar solution containing the corresponding herbs, respectively. According to the experimental groups were fed mulberry leaves until the sixth day, and the blood glucose levels of all silkworms were measured 3 h after feeding on the sixth day.</p>
   </sec>
   <sec id="s2_6">
    <title>2.6. Glucose Determination</title>
    <p>The silkworms were unfolded in the palm of the hand, fixed with the index finger and thumb of the left hand respectively, with the head of the silkworms facing the tiger's mouth, and a disposable blood needle was inserted about 0.5 cm above the first leg of the silkworms to collect about 20 μL of hemolymph fluid from the silkworms, and glucose content in the hemolymph fluid of the silkworms was detected by using a glucometer.</p>
   </sec>
   <sec id="s2_7">
    <title>2.7. Detection of Alpha-Glucosidase Inhibition Rate</title>
    <p>Referring to the method of literature <xref ref-type="bibr" rid="scirp.141925-12">
      [12]
     </xref>, the herbal extracts were assayed for α-glucosidase inhibitory activity using the 96-microwell plate method, with a total reaction system of 240 uL. First, 120 μL of PBS (pH 6.8, 0.1 mmol/L) was added to a 96-microwell plate, and 20 μL of 0.2 U/mL α-glucosidase (Yuanye China) was added to the plate with 20 μL of sample and incubated for 10 min at 37˚C. Subsequently, 20 μL of 20 mM substrate 4-nitrophenyl α-D-glucopyranoside (pNPG, Yuanye China) was added and incubated for another 20 min at 37˚C. Finally, 60 μL of 0.1 mM Na<sub>2</sub>CO<sub>3</sub> (Yuanye China) was added to terminate the reaction. Subsequently, 20 μL of 20 mM pNPG substrate was added and incubated at 37˚C for another 20 min. Finally, the reaction was terminated by adding 60 μL of 0.1 mM sodium carbonate, sealing the plate membrane, and then placed in Microplate Reader (Thermo Fisher, USA), and the absorbance was read at the wavelength of 405 nm. Three replicate wells were set up for each group and repeated three times (<xref ref-type="table" rid="table2">
      Table 2
     </xref>).</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.141925-"></xref>Table 2. α-glucosidase activity inhibition reaction system (μL).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="13.16%"><p style="text-align:center">Group</p></td> 
       <td class="custom-bottom-td acenter" width="13.93%"><p style="text-align:center">Sample</p></td> 
       <td class="custom-bottom-td acenter" width="10.97%"><p style="text-align:center">PBS</p></td> 
       <td class="custom-bottom-td acenter" width="19.11%"><p style="text-align:center">α-glucosidase</p></td> 
       <td class="custom-bottom-td acenter" width="11.89%"><p style="text-align:center">pNPG</p></td> 
       <td class="custom-bottom-td acenter" width="11.61%"><p style="text-align:center">Na<sub>2</sub>CO<sub>3</sub></p></td> 
       <td class="custom-bottom-td acenter" width="19.32%"><p style="text-align:center">6% DMSO-PBS</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="13.16%"><p style="text-align:center">A<sub>1</sub></p></td> 
       <td class="custom-top-td acenter" width="13.93%"><p style="text-align:center">20</p></td> 
       <td class="custom-top-td acenter" width="10.97%"><p style="text-align:center">120</p></td> 
       <td class="custom-top-td acenter" width="19.11%"><p style="text-align:center">20</p></td> 
       <td class="custom-top-td acenter" width="11.89%"><p style="text-align:center">20</p></td> 
       <td class="custom-top-td acenter" width="11.61%"><p style="text-align:center">60</p></td> 
       <td class="custom-top-td acenter" width="19.32%"><p style="text-align:center">-</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="13.16%"><p style="text-align:center">A<sub>2</sub></p></td> 
       <td class="acenter" width="13.93%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="10.97%"><p style="text-align:center">120</p></td> 
       <td class="acenter" width="19.11%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="11.89%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="11.61%"><p style="text-align:center">60</p></td> 
       <td class="acenter" width="19.32%"><p style="text-align:center">20</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="13.16%"><p style="text-align:center">A<sub>3</sub></p></td> 
       <td class="acenter" width="13.93%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.97%"><p style="text-align:center">120</p></td> 
       <td class="acenter" width="19.11%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="11.89%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="11.61%"><p style="text-align:center">60</p></td> 
       <td class="acenter" width="19.32%"><p style="text-align:center">20</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="13.16%"><p style="text-align:center">A<sub>4</sub></p></td> 
       <td class="acenter" width="13.93%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.97%"><p style="text-align:center">120</p></td> 
       <td class="acenter" width="19.11%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="11.89%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="11.61%"><p style="text-align:center">60</p></td> 
       <td class="acenter" width="19.32%"><p style="text-align:center">40</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Note: The inhibition rate of samples against α-glucosidase is calculated by this formula: Inhibition rate (%) = 1 − (A<sub>1</sub> − A<sub>2</sub>)/(A<sub>3</sub> − A<sub>4</sub>) × 100. A<sub>1</sub>: Sample Group; A<sub>2</sub>: Sample Control Group; A<sub>3</sub>: Experimental Control Group; A<sub>4</sub>: Blank Background Group.</p>
   </sec>
   <sec id="s2_8">
    <title>2.8. Statistical Analysis</title>
    <p>SPSS 24 software was used for statistical analysis. Comparisons between groups were made using one-way ANOVA (one-way ANOVA) and LSD method when the data met normality and Chi-square; when equal variance was not assumed, comparisons between groups were made using Games-Howell to determine statistical significance. In each case, the significance level was set at p &lt; 0.05.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. Effects of Chinese Herbal Extracts on Body Weight and Blood Glucose of Silkworms</title>
    <p>
     <xref ref-type="bibr" rid="scirp.141925-"></xref>At day 6, the body weight of control silkworms was significantly higher than that of the model group, Body weight of L-JCP, M-JCP and L-HLF, M-HLF decreased compared with the model group, with the increase of dosage, the weight loss of silkworm seems to be greater. The metformin group had the greatest effect on the body weight of silkworm, and the body weight was significantly lower than that of the model group, which may be related to the effect of metformin on reducing body weight (<xref ref-type="fig" rid="fig1(A)">
      Figure 1(A)
     </xref>). In previous studies, we found that the blood glucose was relatively stable when the silkworm was raised to the sixth day of the fifth instar. Therefore, we chose to detect the blood glucose changes of all silkworms on the sixth day. Results showed that, The L-HLF and H-HLF did not reduce the blood glucose level in the silkworm, but made the blood glucose level in the silkworm higher than that in the model group, The L-JCP did not improve the blood glucose level in the silkworm. However, H-JCP can significantly reduce blood glucose levels in silkworms, although not as significantly as metformin, by comparison, the hypoglycemic effect of H-JCP is verifiable (<xref ref-type="fig" rid="fig1(B)">
      Figure 1(B)
     </xref>).</p>
    <p>We found that the body weight of the model group was significantly lower than that of the control group on the sixth day, body weight of L-TFPD was higher than those in the model group, with the increase of dosage, the body weight will decrease, the difference was not significant when compared to the modeling group. Compared with the model group, the body weight of the L-GFTE had a downward trend, but there is no statistical significance between the two. However, the H-GFTE significantly reduced the body weight of silkworm. In the L-GE and H-GE, the dose of extract was proportional to the weight gain of silkworm (<xref ref-type="fig" rid="fig2(A)">
      Figure 2(A)
     </xref>). When the silkworm was reared to the sixth day, the L-GE and H-GE could significantly reduce the blood glucose level of the silkworm, and with the increase of the dose, the blood glucose level in the silkworm decreased more obviously. In the L-GFTE, the blood glucose level in silkworm was significantly lower than that in the model group. With the increase of dose, the effect of reducing blood glucose was more obvious. The L-GE and H-GE can significantly reduce the blood glucose</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>Figure 1. Silkworm numerical data after treatment: (A) Changes in body weight of silkworms after treatment of JCP, HLF, and metformin treatment. Data are presented as mean ± SEM. Control vs Model, <sup>***</sup>p &lt; 0.001, Model vs Metformin, <sup>###</sup>p &lt; 0.001. (B) Changes in blood glucose of silkworms after treatment of JCP, HLF, and metformin. Data are presented as mean ± SEM. Control vs Model,<sup> ***</sup>p &lt; 0.001, Model vs H-JCP, <sup>&amp;</sup>p &lt; 0.05, Model vs Metformin, <sup>###</sup>p &lt; 0.001.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2153126-rId16.jpeg?20250509041850" />
    </fig>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. Silkworm numerical data after treatment. (A) Changes in body weight of silkworms after treatment of TFPD, GFTE, GE and Metformin treatment. Data are presented as mean ± SEM. Control vs Model, <sup>***</sup>p &lt; 0.001; Model vs H-GFTE, <sup>d</sup>p &lt; 0.05; Model vs Metformin, <sup>###</sup>p &lt; 0.001. (B) Changes in blood glucose of silkworms after treatment of TFPD, GFTE, GE and Metformin treatment. Data are presented as mean ± SEM. Control vs Model, <sup>***</sup>p &lt; 0.001; Model vs L-TFPD, <sup>aaa</sup>p &lt; 0.001; Model vs H-TFPD, <sup>bbb</sup>p &lt; 0.001; Model vs L-GFTE, <sup>ccc</sup>p &lt; 0.001; Model vs H-GFTE, <sup>ddd</sup>p &lt; 0.001; Model vs L-GE, <sup>eee</sup>p &lt; 0.001; Model vs H-GF, <sup>fff</sup>p &lt; 0.001; Model vs Metformin, <sup>###</sup>p &lt; 0.001.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2153126-rId17.jpeg?20250509041850" />
    </fig>
    <p>level in the silkworm. With the increase of the dose, the blood glucose level in the silkworm will be significantly reduced, and is statistically significant compared with the model group (<xref ref-type="fig" rid="fig2(B)">
      Figure 2(B)
     </xref>).</p>
    <p>The body weight of silkworm in the L-TFC increased compared with the model group, and with the increase of the dose of chamomile, the body weight of silkworm showed a downward trend (<xref ref-type="fig" rid="fig3(A)">
      Figure 3(A)
     </xref>). The total flavonoids of chamomile had a significant effect on the blood glucose in silkworm, and with the increase of dose, the blood glucose level in silkworm decreased more obviously, and the high dose group had the greatest degree of hypoglycemic effect (<xref ref-type="fig" rid="fig3(B)">
      Figure 3(B)
     </xref>).</p>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>Figure 3. Silkworm numerical data after treatment. (A) Changes in body weight of silkworms after treatment of TFC and Metformin treatment. Data are presented as mean ± SEM. Control vs Model, <sup>***</sup>p &lt; 0.001; Model vs Metformin, <sup>###</sup>p &lt; 0.001. (b) Changes in blood glucose of silkworms after treatment of TFC and Metformin treatment. Data are presented as mean ± SEM. Control vs Model, <sup>***</sup>p &lt; 0.001; Model vs L-TFC, <sup>a</sup>p &lt; 0.05; Model vs H-TFC, <sup>bbb</sup>p &lt; 0.001; Model vs Metformin, <sup>###</sup>p &lt; 0.001.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2153126-rId18.jpeg?20250509041850" />
    </fig>
    <p>The administration group was set to the same dose. The body weight of silkworms in the TFPS, CPPU, BSTF and TFHF was generally lower than that in the model group, and all of them were statistically significant (<xref ref-type="fig" rid="fig4(A)">
      Figure 4(A)
     </xref>). The TFPS and the TFHF significantly reduced the blood glucose level in silkworm, while the CPPU and the BSTF did not reduce the blood glucose level in silkworm. Under the same dose condition, TFHF in Chinese herbal medicine extract had the most obvious effect on reducing blood glucose (<xref ref-type="fig" rid="fig4(B)">
      Figure 4(B)
     </xref>).</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Studies on the Inhibitory Activity of Herbal Extracts on α-Glucosidase</title>
    <p>The extracts with better hypoglycemic efficiency tested on the silkworm diabetes model were selected and after a comprehensive evaluation with reference to other literature, these extracts were selected and again validated for in vitro α-glucosidase inhibition assay. Using acarbose (0.5 mg/ml) as a positive control, we set the total flavonoids of hibiscus flowers (TFHF), total flavonoids of chamomile (TFC), total flavonoids of Paederia scandens (TFPS) and jasmine crude polysaccharide (JCP) as the same concentration (0.5 mg/ml) to detect the inhibitory activity of α-glucosidase. Results showed that under the same conditions, acarbose inhibited α-glucosidase by 99.98%, The inhibition rate of TFHF on α-glucosidase was 86.75%, the inhibition rate of TFC on α-glucosidase was 88.71%, the inhibition rate of TFPS on α-glucosidase was 81.38%, and the inhibition rate of JCP on α-glucosidase was 10.72% (<xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>).</p>
    <fig id="fig4" position="float">
     <label>Figure 4</label>
     <caption>
      <title>Figure 4. Silkworm numerical data after treatment. (A) Changes in body weight of silkworms after treatment of TFPS, CPPU, BSTF, TFHF and Metformin treatment. Data are presented as mean ± SEM. Control vs Model, <sup>***</sup>p &lt; 0.001; Model vs TFPS, <sup>a</sup>p &lt; 0.05; Model vs CPPU, <sup>bb</sup>p &lt; 0.01; Model vs BSTF, <sup>ccc</sup>p &lt; 0.001; Model vs TFHF, <sup>d</sup>p &lt; 0.05, Model vs Metformin, <sup>###</sup>p &lt; 0.001. (B) Changes in blood glucose of silkworms after treatment of TFPS, CPPU, BSTF, TFHF and Metformin treatment. Data are presented as mean ± SEM. Control vs Model, <sup>***</sup>p &lt; 0.001; Model vs TFPS, <sup>aaa</sup>p &lt; 0.001; Model vs TFHF, <sup>ddd</sup>P &lt; 0.001; Model vs Metformin, <sup>###</sup>p &lt; 0.001.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2153126-rId19.jpeg?20250509041851" />
    </fig>
    <fig id="fig5" position="float">
     <label>Figure 5</label>
     <caption>
      <title>Figure 5. Effect of various herbs on the inhibitory activity of α-glucosidase.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2153126-rId20.jpeg?20250509041850" />
    </fig>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>As researchers delve deeper into invertebrates, the silkworm as an alternative model can also be used as a gout <xref ref-type="bibr" rid="scirp.141925-13">
     [13]
    </xref>, anti-infective <xref ref-type="bibr" rid="scirp.141925-14">
     [14]
    </xref>, anti-fungal <xref ref-type="bibr" rid="scirp.141925-15">
     [15]
    </xref> research area, The use of the silkworm as a model animal can reduce the cost of scientific research to some extent. Japanese scholar Matsumoto has shown that, silkworm can be used to screen diabetes drugs <xref ref-type="bibr" rid="scirp.141925-16">
     [16]
    </xref>, but it may cause some harm to experimental animals by injection, if improperly operated, it may also cause harm to researchers. Unlike mammals, the hemolymph of silkworm is mainly trehalose, which is a non-reducing disaccharide, accounting for more than 90% of the total sugar content, so it is called the “blood sugar” of insects <xref ref-type="bibr" rid="scirp.141925-17">
     [17]
    </xref>. In contrast, glucose accounts for only 4% of the total sugar content, and after the silkworm eats glucose, the glucose titer in the hemolymph will change significantly <xref ref-type="bibr" rid="scirp.141925-18">
     [18]
    </xref>. The choice of 20% glucose solution allows for better observation of the performance of silkworms after feeding on herbs without affecting their normal physiological state. The silkworm can also synthesize an insulin-like peptide similar to human insulin, which is 40% similar to human insulin, and can regulate the metabolism of trehalose and glycogen in the silkworm <xref ref-type="bibr" rid="scirp.141925-19">
     [19]
    </xref>. Silkworm feeds on mulberry leaves. This is because the GR66 gene in silkworm is encoded as a hypothetical bitter taste receptor, which makes silkworm have a special preference for mulberry leaves <xref ref-type="bibr" rid="scirp.141925-20">
     [20]
    </xref>. Therefore, in this experiment, we established a diabetic model by spraying drugs on the surface of mulberry leaves and feeding mulberry leaves, which not only reduced the damage to experimental animals by gavage and injection, but also made it easier for silkworms to accept drugs and better observe the efficacy of drugs. In addition, rearing silkworms in low-temperature environment prolonged the 5<sup>th</sup> instar survival of silkworms <xref ref-type="bibr" rid="scirp.141925-4">
     [4]
    </xref>. It can better observe the changes in silkworms after eating hypoglycemic drugs, which may reduce the development cycle of hypoglycemic drugs, making it possible to screen more natural products or synthetic drugs with hypoglycemic effects in a relatively short period of time.</p>
   <p>Metformin is the first choice for the treatment of type 2 diabetes. However, there are inevitably adverse reactions such as gastrointestinal tract and allergy. In severe cases, it may even cause lactic acidosis <xref ref-type="bibr" rid="scirp.141925-21">
     [21]
    </xref>. Thanks to our rich Chinese herbal medicine resources, it is feasible to find effective hypoglycemic components in Chinese herbal medicines with lower side effects. Recent research has shown that AGI can inhibit the release of α-D glucose, thereby delaying the absorption of carbohydrates in the small intestine, avoid a sharp rise in postprandial blood glucose, reduce blood glucose fluctuations, thereby reducing the generation and absorption of glucose into the blood, The use of this drug alone has a low risk of hypoglycemia and has attracted widespread attention in diabetes research <xref ref-type="bibr" rid="scirp.141925-22">
     [22]
    </xref>. AGI may also stimulate the secretion of glucagon-like peptide-1 (GLP-1) in the intestine. Long-term use can increase insulin sensitivity and reduce postprandial insulin secretion, thereby reducing insulin resistance and further regulating blood glucose balance <xref ref-type="bibr" rid="scirp.141925-23">
     [23]
    </xref>. Common AGI drugs include acarbose, voglibose and miglitol. Although these highly effective AGIs are available, regular consumption of these drugs may lead to side effects such as diarrhea and allergic reactions. Researchers are still studying new AGIs with inhibitory potential and less side effects <xref ref-type="bibr" rid="scirp.141925-24">
     [24]
    </xref>. The detection of α-glucosidase inhibitory activity of Chinese herbal medicines in the silkworm, and provide in vivo data reference for the future clinical development of new AGI, which can not only reduce costs, but also may help to develop new AGI in the future. Silkworm has unique advantages as an experimental animal, but there are still many differences with mammals, Glucose is a common nutritional signal that induces insulin release in mammals and insects as a messenger of the body’s “eating” state. Mammals maintain blood glucose levels mainly through glycogen decomposition and gluconeogenesis <xref ref-type="bibr" rid="scirp.141925-25">
     [25]
    </xref>. The role and regulation mechanism of insulin-like peptides released in the brain of silkworm larvae may be different in mammals. The difference in metabolic pathways may affect the effect of drugs, which may lead to differences in the distribution, absorption and metabolism of drugs in the body. So, it cannot completely replace mammals for drug testing. However, through the preliminary drug efficacy verification of the silkworm, it provides a reference for subsequent verification experiments in mammals, which can reduce the consumption of mammals in the experiment.</p>
   <p>Based on our study, some Chinese herbal extracts such as JCP, TFPS, TFHF and TFC can inhibit the activity of α-glucosidase, thereby reducing the blood glucose level in silkworm, which may provide a reference for the development of new AGI. In addition, TFPD, GFTE and GE also have hypoglycemic effects in silkworm, which may be due to the potential hypoglycemic mechanism of flavonoids, stimulating the release of insulin-like peptides in silkworm, thus effectively reducing the blood glucose level in silkworm. Of course, in order to further study its hypoglycemic function, this is the direction that needs to be focused on in the future. In addition, the silkworm treated with Chinese herbal medicine extracts may reduce the blood glucose level in the body through the insulin signaling pathway. It is our focus in the follow-up study to verify whether these Chinese herbal medicine extracts can effectively reduce blood glucose through the insulin signaling pathway. We hope that the hypoglycemic drugs screened by the silkworm model can provide a reference for clinical medication and promote the application as an alternative model in future disease exploration.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>In this research, JCP, TFPS, TFHF, TFPD, GFTE, TFC, and GE all have good hypoglycemic effect in silkworm. Especially after in vitro α-glucosidase activity test, it was confirmed that JCP, TFPS, TFHF and TFC had different degrees of inhibition. Therefore, as a new type of diabetes model, silkworm has the potential to screen hypoglycemic drugs. This may inform the search for new therapeutic countermeasures for diabetes and the development of new hypoglycemic drugs.</p>
  </sec><sec id="s6">
   <title>6. Limitation</title>
   <p>In this study, we recognize that there are still some areas that deserve further improvement. The diabetes model was established by using silkworm, by comparing the blood glucose level after feeding the drug-containing mulberry leaves with the blood glucose level after feeding the high-sugar mulberry leaves, and according to the blood glucose level in the silkworm after feeding the fresh mulberry leaves, the hypoglycemic effect of a certain Chinese herbal medicine was preliminarily explored. Although we have preliminarily explored that some extracts do have hypoglycemic effects, the mechanism of how to produce hypoglycemic effects has not been explored in depth. For example, JCP has a significant hypoglycemic effect, but has a low inhibitory activity on α-glucosidase, which may be caused by other ways, it may stimulate the release of insulin-like peptide in silkworm brain, thereby reducing blood glucose. In addition, in order to better understand how the crude extract of traditional Chinese medicine reduces blood sugar and is applied to treatment in the future, it is necessary to further study its potential mechanism. In the future, we plan to further explore the mechanism of Chinese herbal medicine in reducing blood glucose in silkworms in subsequent studies to improve the current research results.</p>
  </sec><sec id="s7">
   <title>Funding</title>
   <p>National Natural Science Foundation of China (NSFC) (81660145).</p>
  </sec>
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