<?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.2024.1211016
   </article-id>
   <article-id pub-id-type="publisher-id">
    jbm-137343
   </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>
    Interaction between Gut Microbiota and Medicinal Food Homology in Depression
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Tian
      </surname>
      <given-names>
       Yu
      </given-names>
     </name>
    </contrib>
   </contrib-group> 
   <aff id="affnull">
    <addr-line>
     aShanghai United International School, Shanghai, China
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     30
    </day> 
    <month>
     10
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    12
   </volume> 
   <issue>
    11
   </issue>
   <fpage>
    190
   </fpage>
   <lpage>
    205
   </lpage>
   <history>
    <date date-type="received">
     <day>
      22,
     </day>
     <month>
      August
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      10,
     </day>
     <month>
      August
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      10,
     </day>
     <month>
      November
     </month>
     <year>
      2024
     </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>
    Depression can be counted as the most severe mental disease in the world nowadays, which lacks effective curing treatments. With an increasing number of patients, developing effective treatments with fewer side effects is essential. Medicinal food homology has been proven to influence the pathogenesis of depression positively. Gut microbiota plays a vital role in exerting the antidepressant effect of substances from the medicinal food homology, as they facilitate different chemical processes and increase the bioavailability of the substances. This review summarizes the correlation between gut microbiota and depression and provides new pathways for effective treatments of depression.
   </abstract>
   <kwd-group> 
    <kwd>
     Medicinal Food Homology
    </kwd> 
    <kwd>
      Gut Microbiota
    </kwd> 
    <kwd>
      Depression
    </kwd> 
    <kwd>
      Antidepressant
    </kwd> 
    <kwd>
      Pathogenesis
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>
    <xref ref-type="bibr" rid="scirp.137343-"></xref>Depression is a severe and persistent mental illness common in clinical practice, with an estimation of at least 5% of adults who have suffered from depression in 2023 <xref ref-type="bibr" rid="scirp.137343-1">
     [1]
    </xref>. It is characterized by the symptoms of sleeping and eating disorders, a loss of interest, and a depressed mood <xref ref-type="bibr" rid="scirp.137343-2">
     [2]
    </xref>. With the increased pace of modern society, the incidence of depression has been rising and will continue to grow in the long term. The impact of depression has an extensive range, from a depressed mood to suicidal action.</p>
   <p>Meanwhile, the pathogenesis of depression is complex. It is categorized into four mechanisms: the monoamine hypothesis, the imbalance of the hippocampus-pituitary-adrenal (HPA) axis, neuroplasticity chaos, and inflammatory stimulation <xref ref-type="bibr" rid="scirp.137343-3">
     [3]
    </xref>. Many chemically synthesized antidepressants are proven to be not very practical nowadays, with delayed responses and even severe side effects <xref ref-type="bibr" rid="scirp.137343-4">
     [4]
    </xref>.</p>
   <p>
    <xref ref-type="bibr" rid="scirp.137343-"></xref>Medicinal food homology is where a plant possesses both medicinal properties and the ability to be edible, which contain functions in the prevention and treatment of various health issues. The concept of medicinal food homology has been growing, with easier accessibility and the lack of side effects <xref ref-type="bibr" rid="scirp.137343-5">
     [5]
    </xref>. It’s been popular in recent years, and it is a route for curing mental illness, especially depression <xref ref-type="bibr" rid="scirp.137343-6">
     [6]
    </xref>. However, the mechanism of medicinal food homology for curing depression remains unclear, which requires further studies.</p>
   <p>Gut microbiota refers to all of the microorganisms living in the digestive system. Recent research has suggested that gut microbiota plays a vital role in depression. Through the adjustments on the imbalance of the HPA axis, inflammatory response, and disorders of neurotransmitters, medicinal food homology could remit the depressive behaviors. Recently, it has been found that gut microbiota strongly correlates with medicinal food homology substances <xref ref-type="bibr" rid="scirp.137343-7">
     [7]
    </xref>. The substances from medicinal food homology have low bioavailability, requiring the help of gut microbiota to digest, absorb, and chemically modify them to increase their bioavailability <xref ref-type="bibr" rid="scirp.137343-8">
     [8]
    </xref>. Therefore, this paper is intended to explore the chemical modifications between gut microbiota and medicinal food homology substances that affect the pathogenesis of depression and provide future research on a therapeutic target for depression.</p>
  </sec><sec id="s2">
   <title>2. The Pathogenesis of Depression</title>
   <sec id="s2_1">
    <title>2.1. Monoamine Hypothesis</title>
    <p>Monoamine neurotransmitters are an essential class of excitatory neurotransmitters.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>The imbalance of excitatory neurotransmitters, including serotonin, norepinephrine, and dopamine, was found in depressed patients, suggesting that the mechanism behind depression is abnormal levels of one or more monoamine neurotransmitters <xref ref-type="bibr" rid="scirp.137343-9">
      [9]
     </xref>. For instance, the discovery of the antihypertensive drug reserpine could cause depression by depleting the concentration of monoamine neurotransmitters in the brain. Similarly, the depletion of tryptophan, an amino acid essential for 5-HT synthesis, has been shown to cause depressive symptoms in cured patients <xref ref-type="bibr" rid="scirp.137343-10">
      [10]
     </xref>. Many early antidepressants were developed based on the theory of monoamine depletion, such as monoamine oxidase inhibitors, tricyclic antidepressants, and selective serotonin reuptake inhibitors, which can increase the concentration of monoamine neurotransmitters in the inter-synaptic space and improve depressive symptoms <xref ref-type="bibr" rid="scirp.137343-11">
      [11]
     </xref>. In short, the monoamine hypothesis is one of the pathogenesis of depression.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Imbalance of HPA Axis</title>
    <p>The hypothalamus-pituitary-adrenal (HPA) axis is a feedback loop pathway in which stress activates hormone pathways that induce the body to respond to a perceived threat, such as a fight or flight situation. When stressed, the hypothalamus secretes corticotropin-releasing hormone (CRH), then stimulates the pituitary gland to secrete adrenocorticotropic hormone, stimulating the adrenal cortex to release corticotropic hormone (CORT). Elevated corticosteroids increase the excitability of the nervous system and keep the body in a hyperactive state. After stress, CORT decreases CRH concentrations through negative feedback regulation, normalizing the entire HPA axis. Being under stress in the long term may cause continuous excitement of the HPA axis, which may cause an imbalance of the HPA axis, resulting in an overstimulating body, therefore resulting in the symptoms of depression <xref ref-type="bibr" rid="scirp.137343-12">
      [12]
     </xref>. In conclusion, the imbalance of the HPA axis is one of the pathogenesis for depression.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Neuroplasticity Disorder</title>
    <p>Growth and adaptation at the neuronal level are more broadly called neuroplasticity.</p>
    <p>In particular, synapses are created and eliminated rapidly, and connectivity circuits are altered during adaptation and learning. The latest research shows that symptoms at this cellular level in depressed patients mainly include a decrease in hippocampal neocytogenesis, neuronal apoptosis, and hippocampal shrinkage <xref ref-type="bibr" rid="scirp.137343-13">
      [13]
     </xref>. Notably, the neurotrophic factors modulate changes in neuroplasticity. Neurotrophic factors are an important class of signaling molecules in the brain, responsible for axon localization, neuronal growth, synaptic maturation during development, and synaptic plasticity. This family of proteins includes nerve growth factor, brain-derived neurotrophic factor (BDNF), and others. Among them, BDNF plays a vital role in synaptic plasticity and the pathology or treatment of many psychiatric disorders <xref ref-type="bibr" rid="scirp.137343-14">
      [14]
     </xref>. Recently, studies have found that a decrease in BDNF increases susceptibility to stress-induced depression, decreases serum BDNF levels in patients diagnosed with depression, and recovers BDNF in patients with depression <xref ref-type="bibr" rid="scirp.137343-15">
      [15]
     </xref>. To sum up, an adjustment in neuroplasticity might be a therapy target for treating depression.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Inflammatory Response</title>
    <p>A growing body of research data supports the link between inflammation and depression, with patients with depression exhibiting increased concentrations of inflammatory cytokines in the brain and peripheral and microglial activation <xref ref-type="bibr" rid="scirp.137343-16">
      [16]
     </xref>. People with autoimmune diseases and severe infections are more likely to suffer from depression, and treatment with cytokines such as interferon and interleukin can trigger depression <xref ref-type="bibr" rid="scirp.137343-17">
      [17]
     </xref>. Meta-analyses concluded that interleukin-1β (IL-1β), interleukin-6(IL-6), tumor necrosis factor-α (TNF-α), and C-reactive protein (CRP) in peripheral blood are inflammatory markers in patients with depression <xref ref-type="bibr" rid="scirp.137343-18">
      [18]
     </xref>. Therefore, inflammatory responses are also a pathogenesis for depression.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Correlation between Gut-Microbiota and the Pathogenesis of Depression (<xref ref-type="table" rid="table1">
     Table 1
    </xref>)</title>
   <sec id="s3_1">
    <title>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>3.1. Gut Microbiota and Monoamine Hypothesis</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>The monoamine hypothesis states that deficiencies in critical neurotransmitters such as serotonin, norepinephrine, and dopamine cause depression <xref ref-type="bibr" rid="scirp.137343-19">
      [19]
     </xref>. Interestingly, the gut microbiota affects them by producing precursors or influencing the metabolism of these neurotransmitters. Short-chain fatty acids (SCFAs), one of the leading products of gut microbiota, correlate with depression. More importantly, certain gut bacteria produce SCFAs that can affect serotonin production in the gut <xref ref-type="bibr" rid="scirp.137343-20">
      [20]
     </xref>. An imbalance in the gut microbiota may lead to a decrease in levels of these neurotransmitters, which can lead to depressive symptoms. For instance, studies have shown the relationship between indigenous bacteria from gut microbiota and serotonin, showing the ability of gut microbiota to influence the production of serotonin <xref ref-type="bibr" rid="scirp.137343-21">
      [21]
     </xref>. Meanwhile, the disorder of gut microbiota leads to the imbalance of neurotransmitters, therefore being one of the pathogenesis of depression <xref ref-type="bibr" rid="scirp.137343-22">
      [22]
     </xref>. Studies have shown that patients with depression often have changes in the composition of the gut microbiota, which may affect brain function and mood through the gut-brain axis <xref ref-type="bibr" rid="scirp.137343-23">
      [23]
     </xref>.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Gut Microbiota and the HPA Axis</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>The hypothalamic-pituitary-adrenal (HPA) axis plays a vital role in the body’s response to stress. Patients with depression often observe dysregulation of the HPA axis, resulting in elevated levels of cortisol and other stress hormones <xref ref-type="bibr" rid="scirp.137343-24">
      [24]
     </xref>. The gut microbiota could regulate the HPA axis by producing metabolites and signaling molecules that affect brain function. For example, certain gut bacteria, such as L. helveticus MCC1848 and L. kefiranofaciens ZW3, produce SCFAs, fatty acids that can affect the integrity of the blood-brain barrier and regulate inflammation <xref ref-type="bibr" rid="scirp.137343-25">
      [25]
     </xref>. Notably, an imbalance in the intestinal flora may increase intestinal permeability, allowing bacterial endotoxins to enter the bloodstream and triggering systemic inflammation that causes the imbalance of the HPA axis and leads to depressive symptoms <xref ref-type="bibr" rid="scirp.137343-26">
      [26]
     </xref>. All in all, chaos in gut microbiota leads to the imbalance of the HPA axis, therefore affecting symptoms of depression.</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Gut Microbiota and Inflammation</title>
    <p>Inflammation is an essential factor in the pathogenesis of depression. Recent research shows that the gut microbiota is vital in regulating immune response and inflammation <xref ref-type="bibr" rid="scirp.137343-27">
      [27]
     </xref>. Representatively, the disorders of gut microbiota could lead to an overactive immune response and an increase in pro-inflammatory cytokines such as IL-6 and TNF-α. Furthermore, these cytokines could cross the blood-brain barrier (BBB), causing neuroinflammation and being associated with depressive symptoms <xref ref-type="bibr" rid="scirp.137343-28">
      [28]
     </xref>. Studies have found that patients with depression typically exhibit increased levels of these inflammatory markers, suggesting an association between gut microbiota, systemic inflammation, and depression <xref ref-type="bibr" rid="scirp.137343-29">
      [29]
     </xref> <xref ref-type="bibr" rid="scirp.137343-30">
      [30]
     </xref>.</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Gut Microbiota and Neuroplasticity</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Decreased neuroplasticity has been linked to depression. In fact, the gut microbiota could influence neuroplasticity by producing neurotrophic factors such as BDNF. SCFAs are an essential determinant in the synthesis of BDNF <xref ref-type="bibr" rid="scirp.137343-31">
      [31]
     </xref>. SCFAs produced by gut bacteria could enhance the expression of BDNF and promote neurogenesis and synaptic plasticity. An imbalance in the gut microbiota may lead to decreased levels of SCFAs and BDNF, impairing neuroplasticity, which contributes to depressive symptoms <xref ref-type="bibr" rid="scirp.137343-32">
      [32]
     </xref>. In short, gut microbiota can change neuroplasticity, therefore being one of the pathogenesis of depression.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.137343-"></xref>Table 1. Summarization of mechanisms of medicinal food homology product.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td custom-top-td aleft" width="18.82%"><p style="text-align:left">Product</p></td> 
       <td class="custom-bottom-td custom-top-td aleft" width="19.10%"><p style="text-align:left">Source</p></td> 
       <td class="custom-bottom-td custom-top-td aleft" width="16.18%"><p style="text-align:left">Gut microbiota</p></td> 
       <td class="custom-bottom-td custom-top-td aleft" width="13.24%"><p style="text-align:left">Chemical process</p></td> 
       <td class="custom-bottom-td custom-top-td aleft" width="19.12%"><p style="text-align:left">Correlation with pathogenesis</p></td> 
       <td class="custom-bottom-td custom-top-td aleft" width="13.52%"><p style="text-align:left">Citation</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td aleft" width="18.82%"><p style="text-align:left">Tetrahydrocrucumin</p></td> 
       <td class="custom-top-td aleft" width="19.10%"><p style="text-align:left">Curcumin</p></td> 
       <td class="custom-top-td aleft" width="16.18%"><p style="text-align:left">E. coli DH10B</p></td> 
       <td class="custom-top-td aleft" width="13.24%"><p style="text-align:left">Hydrogenation</p></td> 
       <td class="custom-top-td aleft" width="19.12%"><p style="text-align:left">Neuroprotective and anti-neuroinflammatory properties</p></td> 
       <td class="custom-top-td aleft" width="13.52%"><p style="text-align:left">(Cheng et al., 2012; Cheng et al., 2012)</p></td> 
      </tr> 
      <tr> 
       <td class="aleft" width="18.82%"><p style="text-align:left">Caffeic acid</p></td> 
       <td class="aleft" width="19.10%"><p style="text-align:left">Ferulic acid</p></td> 
       <td class="aleft" width="16.18%"><p style="text-align:left"></p></td> 
       <td class="aleft" width="13.24%"><p style="text-align:left">Methylation</p></td> 
       <td class="aleft" width="19.12%"><p style="text-align:left">Regulation of pro-inflammatory Cytokine expression and modulation of neural signaling mechanisms</p></td> 
       <td class="aleft" width="13.52%"><p style="text-align:left">(Habtemariam, 2017; Zheng et al., 2019; Liu, Shen, et al., 2017)</p></td> 
      </tr> 
      <tr> 
       <td class="aleft" width="18.82%"><p style="text-align:left">Urolithins</p></td> 
       <td class="aleft" width="19.10%"><p style="text-align:left">Ellagic acid</p></td> 
       <td class="aleft" width="16.18%"><p style="text-align:left">Gordonibacter urolithinfaciens, sp.,Gordonibacter pamelaeae DSM 19378T, Bifidobacterium pseudocatenulatum INIA P815</p></td> 
       <td class="aleft" width="13.24%"><p style="text-align:left">Dihydroxylation</p></td> 
       <td class="aleft" width="19.12%"><p style="text-align:left">Inhibits LPS-induced BV-2 microglial inflammation</p></td> 
       <td class="aleft" width="13.52%"><p style="text-align:left">(Mc et al., 2021; Xu et al., 2018)</p></td> 
      </tr> 
      <tr> 
       <td class="aleft" width="18.82%"><p style="text-align:left">Equol</p></td> 
       <td class="aleft" width="19.10%"><p style="text-align:left">Daidzein</p></td> 
       <td class="aleft" width="16.18%"><p style="text-align:left">Anaerobic bacterium Eggerthella strain Julong 732</p></td> 
       <td class="aleft" width="13.24%"><p style="text-align:left">Deglycosylation</p></td> 
       <td class="aleft" width="19.12%"><p style="text-align:left">Balancing the HPA axis, reduces the production of pro-inflammatory cytokines</p></td> 
       <td class="aleft" width="13.52%"><p style="text-align:left">(Kim et al. 2010; Lalita Subedi et al., 2017)</p></td> 
      </tr> 
      <tr> 
       <td class="aleft" width="18.82%"><p style="text-align:left">Gallic acid GA</p></td> 
       <td class="aleft" width="19.10%"><p style="text-align:left">Epigallocatechin-3-O-gallate</p></td> 
       <td class="aleft" width="16.18%"><p style="text-align:left">Enterobacter aerogenes, Raoultella planticola (klebsiella planticola)</p></td> 
       <td class="aleft" width="13.24%"><p style="text-align:left">Deglycosylation</p></td> 
       <td class="aleft" width="19.12%"><p style="text-align:left">Modulating the inflammatory response</p></td> 
       <td class="aleft" width="13.52%"><p style="text-align:left">(Takagaki &amp; Nanjo, 2010; Wen et al., 2022)</p></td> 
      </tr> 
      <tr> 
       <td class="aleft" width="18.82%"><p style="text-align:left">3,4-dihydroxyphenylacetic acid</p></td> 
       <td class="aleft" width="19.10%"><p style="text-align:left">Quercetin</p></td> 
       <td class="aleft" width="16.18%"><p style="text-align:left">Eubacterium ramulus Clostridium perfringens Bacteroides fragilis</p></td> 
       <td class="aleft" width="13.24%"><p style="text-align:left">Hydroxylation</p></td> 
       <td class="aleft" width="19.12%"><p style="text-align:left">Regulating neuroinflammatory mediators</p></td> 
       <td class="aleft" width="13.52%"><p style="text-align:left">(Zhang et al., 2014; Rinwa &amp; Kumar, 2013)</p></td> 
      </tr> 
      <tr> 
       <td class="aleft" width="18.82%"><p style="text-align:left">Hesperetin</p></td> 
       <td class="aleft" width="19.10%"><p style="text-align:left">Hesperidin</p></td> 
       <td class="aleft" width="16.18%"><p style="text-align:left">B. pseudocatenultam WC</p></td> 
       <td class="aleft" width="13.24%"><p style="text-align:left">Deglycosylation</p></td> 
       <td class="aleft" width="19.12%"><p style="text-align:left">Modulates the expression of high mobility group protein 1 and inflammatory cytokines</p></td> 
       <td class="aleft" width="13.52%"><p style="text-align:left">(Parhiz et al., 2014; Fu et al., 2019; Kwatra et al., 2020)</p></td> 
      </tr> 
      <tr> 
       <td class="aleft" width="18.82%"><p style="text-align:left">Baicalein</p></td> 
       <td class="aleft" width="19.10%"><p style="text-align:left">Baicalin</p></td> 
       <td class="aleft" width="16.18%"><p style="text-align:left">E. coli HGU-3</p></td> 
       <td class="aleft" width="13.24%"><p style="text-align:left">Deglycosylation</p></td> 
       <td class="aleft" width="19.12%"><p style="text-align:left">Regulating the NF-κB pathway and lower pro-inflammatory cytokine levels</p></td> 
       <td class="aleft" width="13.52%"><p style="text-align:left">(Akao et al., 2000; Yu et al., 2019)</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
  </sec><sec id="s4">
   <title>4. Substances of Medicinal Food Homology That Impact Depression</title>
   <sec id="s4_1">
    <title>4.1. Curcumin</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Curcumin is a flavonoid polyphenol derived from Rhizoma Curcumae Longae <xref ref-type="bibr" rid="scirp.137343-33">
      [33]
     </xref>. Due to its anti-inflammatory properties, it has been used to treat neurological, cardiovascular, and gastrointestinal disorders <xref ref-type="bibr" rid="scirp.137343-34">
      [34]
     </xref>. Gut microbiota facilitates the conversion of curcumin into biologically active and neuroprotective metabolites. For instance, E. coli DH10B, a strain found in the human gut, expresses an enzyme known as nicotinamide adenine dinucleotide phosphate oxidase (NADPH)-dependent curcumin/dihydro curcumin reductase <xref ref-type="bibr" rid="scirp.137343-35">
      [35]
     </xref>. This enzyme converts curcumin into dihydro curcumin, metabolized to tetrahydro curcumin (THC) <xref ref-type="bibr" rid="scirp.137343-35">
      [35]
     </xref>. A notable point is that THC exhibits more substantial neuroprotective and anti-neuroinflammatory properties compared to curcumin alone <xref ref-type="bibr" rid="scirp.137343-36">
      [36]
     </xref>. For example, THC-mediated protection against conditions like Alzheimer’s disease involves inhibiting microglial apoptosis, suggesting THC’s potential to alleviate psychiatric disorder symptoms through improved neuroinflammation <xref ref-type="bibr" rid="scirp.137343-36">
      [36]
     </xref>. Therefore, it also proves the fact that Curcumin could be used to treat symptoms of depression.</p>
   </sec>
   <sec id="s4_2">
    <title>4.2. Ferulic Acid</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Ferulic acid is a cinnamic acid derivative found in medicinal and edible plants such as Ferula foetida, which is found to have antidepressant effects <xref ref-type="bibr" rid="scirp.137343-37">
      [37]
     </xref>. Through the interaction with receptors or enzymes, regulation of pro-inflammatory cytokine expression, and modulation of neural signaling mechanisms, ferulic acid could improve depressive symptoms <xref ref-type="bibr" rid="scirp.137343-38">
      [38]
     </xref>. Caffeic acid, a methylated metabolite of ferulic acid produced by intestinal flora, has a higher bioavailability. The gut microbiota converts ferulic acid into caffeic acid, which could cross the BBB and enter the central nervous system (CNS) to exert anti-neuroinflammatory and antidepressant effects <xref ref-type="bibr" rid="scirp.137343-39">
      [39]
     </xref>. Gut flora-produced demethylases enhance the biological activity of caffeic acid by increasing its polarity and decreasing its lipophilicity, thereby facilitating its absorption and activity in the brain <xref ref-type="bibr" rid="scirp.137343-40">
      [40]
     </xref>. For instance, ferulic acid significantly ameliorated behavioral and neurochemical abnormalities in both prenatal stress stimulation and chronic unpredictable mild stress models. This effect was mediated through the downregulation of the central nuclear factor-kappa B (NF-κB) signaling pathway, resulting in reduced levels of pro-inflammatory molecules, including IL-1β, IL-6, and TNF-α. Furthermore, ferulic acid inhibited the activation of NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome and subsequent inflammatory cytokines, demonstrating its potential as a therapeutic agent in stress-induced disorders by modulating key inflammatory pathways <xref ref-type="bibr" rid="scirp.137343-41">
      [41]
     </xref> <xref ref-type="bibr" rid="scirp.137343-42">
      [42]
     </xref>. As a result, caffeic acid exhibits more substantial anti-neuroinflammatory and neuroprotective effects than ferulic acid.</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Ellagic Acid</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Ellagic acid is a dimeric derivative of gallic acid. It is a polyphenolic dilactone with antidepressant effects derived from Punica granatum. Ellagic acid-rich foods are associated with a wide range of health benefits owing to their antioxidant and anti-inflammatory activities <xref ref-type="bibr" rid="scirp.137343-43">
      [43]
     </xref>. However, the bioavailability of ellagic acid is extremely low. Urolithins are the principal products of ellagic acid metabolism by intestinal flora, for example, Gordonibacter urolithinfaciens, Gordonibacter pamelaeae DSM 19378T, and Bifidobacterium pseudocatenulatum INIA P815. Ellagic acid may be metabolized to urolithin A, B, or C <xref ref-type="bibr" rid="scirp.137343-44">
      [44]
     </xref>. Significantly, urolithins could penetrate the BBB, especially urolithins A and B, which have relatively more robust lipophilicity, enabling them to exert anti-neuroinflammatory effects. In vitro studies demonstrated that urolithin inhibits lipopolysaccharide (LPS)-induced BV-2 microglial inflammation, reducing levels of pro-inflammatory cytokines like IL-6 and TNF-α and enhancing cell viability <xref ref-type="bibr" rid="scirp.137343-45">
      [45]
     </xref>. In addition, Urolithin A and B exert anti-neuroinflammatory effects by inhibiting the transcription of pro-inflammatory factors such as TNF-α, IL-6, and IL-1β through activation of the NF-κB and phosphoinositide-3 kinase signaling pathways <xref ref-type="bibr" rid="scirp.137343-46">
      [46]
     </xref>. Therefore, by inhibiting both microglial inflammation and neuroinflammation, a product with higher bioavailability from Ellagic acid, urolithin, can be used to adjust symptoms of depression.</p>
   </sec>
   <sec id="s4_4">
    <title>4.4. Daidzein</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Daidzin, an isoflavone present in the edible plant Radix Pueraria lobatae. The antidepressant effects of Daidzein are significantly enhanced through its metabolism by gut microbiota, which converts it into equol, a highly bioavailable and neuroprotective metabolite. In the gut, daidzein is reduced to (3R)-dihydrodaidzein by the anaerobic bacterium Coprobacillus strain MRG-1. This intermediate is further converted to (3S)-equol via (3S, 4R)-tetrahydrodaidzein by the anaerobic bacterium Eggerthella strain Julong 732 <xref ref-type="bibr" rid="scirp.137343-47">
      [47]
     </xref>. S-equol, the predominant form in animals, demonstrates superior permeability across the intestinal and BBB after experiencing the chemical process of deglycosylation <xref ref-type="bibr" rid="scirp.137343-48">
      [48]
     </xref>. Reports have shown that S-equol could play a significant role in balancing the HPA axis <xref ref-type="bibr" rid="scirp.137343-49">
      [49]
     </xref>. By modulating cortisol production and other stress-related hormones, S-equol could alleviate symptoms associated with HPA axis dysregulation, in particular, depression. Additionally, S-equol could reduce the production of pro-inflammatory cytokines like IL-6, interleukin-10, and IL-1β, which are often elevated in individuals with depression <xref ref-type="bibr" rid="scirp.137343-50">
      [50]
     </xref>. This dual action of lowering both cortisol levels and inflammatory markers positions S-equol as a potent agent in improving depressive symptoms.</p>
   </sec>
   <sec id="s4_5">
    <title>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>4.5. Epigallocatechin-3-O-Gallate</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Epigallocatechin-3-O-gallate (EGCG) is a major catechin found in green tea, and studies have shown the possibility of curing depression. Recent research has demonstrated that EGCG is metabolized by gut microbiota into gallic acid (GA) and other bioactive compounds <xref ref-type="bibr" rid="scirp.137343-51">
      [51]
     </xref>. This process of deglycosylation and hydrolysis involves specific gut bacteria such as Enterobacter aerogenes and Raoultella planticola <xref ref-type="bibr" rid="scirp.137343-52">
      [52]
     </xref>. These bacteria initiate the hydrolysis of EGCG, breaking it into more bioactive forms. For instance, gallic acid could more effectively cross the BBB, thus enhancing their potential therapeutic effects in the CNS. After being metabolized by gut bacteria, GA plays a significant role in modulating the inflammatory response associated with depression. By inhibiting the expression of inflammatory mediators such as IL-1β and TNF-α, GA can reduce systemic inflammation, a crucial factor in the HPA axis dysregulation observed in depression <xref ref-type="bibr" rid="scirp.137343-53">
      [53]
     </xref>. In short, the evidence above suggested the possibility of GA being used in medicine industries to cure the unbalanced and inflammatory response relating to the HPA axis, therefore improving symptoms of depression.</p>
   </sec>
   <sec id="s4_6">
    <title>4.6. Quercetin</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Quercetin, a flavonol with the molecular formula C<sub>15</sub>H<sub>10</sub>O<sub>7</sub>, is found in various medicinal and edible plants such as Radix Platycodonis and Hippophae rhamnoides <xref ref-type="bibr" rid="scirp.137343-54">
      [54]
     </xref>. Interestingly, Quercetin relies on Gut microbiota for metabolism. Gut microbiota, including Eubacterium ramulus, Clostridium perfringens, and Bacteroides fragilis, convert quercetin into its primary metabolite, 3,4-dihydroxyphenylacetic acid (DOPAC) through hydroxylation <xref ref-type="bibr" rid="scirp.137343-55">
      [55]
     </xref>. This microbiota-mediated transformation is essential for quercetin’s antidepressant effects. For instance, DOPAC reduces depression symptoms by regulating neuroinflammatory mediators such as IL-6, TNF-α, and IL-1β in the brain <xref ref-type="bibr" rid="scirp.137343-56">
      [56]
     </xref>. Similarly, these effects are observed in various stress-induced depression models, including chronic unpredictable stress (CUS) and lipopolysaccharide-induced models, where the presence of quercetin mitigated behavioral and neurological damage <xref ref-type="bibr" rid="scirp.137343-57">
      [57]
     </xref>. Besides, the interesting point found in various studies is that quercetin, without metabolism of the gut microbiota, did not possess an antidepressant effect <xref ref-type="bibr" rid="scirp.137343-56">
      [56]
     </xref>. Therefore, gut microbiota plays an important role in the antidepressant effect of quercetin. To conclude, quercetin is transformed into DOPAC with the help of gut microbiota and regulates neuroinflammatory mediators, proving its potential curing target for depression.</p>
   </sec>
   <sec id="s4_7">
    <title>4.7. Hesperidin</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137343-"></xref>Hesperidin, a flavonoid polyphenol with the molecular formula C<sub>28</sub>H<sub>34</sub>O<sub>15</sub>, is found in the edible plant Pericarpium Citri Reticulatae <xref ref-type="bibr" rid="scirp.137343-58">
      [58]
     </xref>. Studies have shown that this compound influences inflammatory mediators and signaling pathways involved in depression. In a rat model of chronic unpredictable mild stress, hesperidin alleviated depression-like behaviors by reducing neuroinflammation and inhibiting the NLRP3 inflammasome activation in the prefrontal cortex <xref ref-type="bibr" rid="scirp.137343-59">
      [59]
     </xref>. Hesperetin, the metabolite of hesperidin, formed from hesperidin by the action of the intestinal enzyme β-D-glucosidase, plays a key role in this process <xref ref-type="bibr" rid="scirp.137343-60">
      [60]
     </xref>. Various gut bacteria, especially B. pseudocatenulatum WC 0403, facilitate this conversion. In fact, hesperetin crosses the intestinal barrier more effectively than hesperidin, demonstrating more potent anti-neuroinflammatory and neuroprotective effects <xref ref-type="bibr" rid="scirp.137343-61">
      [61]
     </xref>. It modulates the expression of high mobility group protein 1 and inflammatory cytokines such as IL-1β, IL-6, and TNF-α through the NF-κB and P38 mitogen-activated protein kinase pathways, contributing to its antidepressant properties <xref ref-type="bibr" rid="scirp.137343-62">
      [62]
     </xref> <xref ref-type="bibr" rid="scirp.137343-63">
      [63]
     </xref>. In short, gut microbiota facilitates the transformation of hesperidin, making it easier to cross the intestinal barrier, therefore obtaining the chance to achieve a more efficient cure for depression.</p>
   </sec>
   <sec id="s4_8">
    <title>4.8. Baicalin</title>
    <p>Baicalin (MF: C<sub>21</sub>H<sub>18</sub>O<sub>11</sub>), derived from Radix Scutellaria, shows the potential as a depression treatment due to its ability to inhibit critical pro-inflammatory mediators and signaling pathways, creating neuroprotective effects <xref ref-type="bibr" rid="scirp.137343-64">
      [64]
     </xref> <xref ref-type="bibr" rid="scirp.137343-65">
      [65]
     </xref>.</p>
    <p>After oral intake, baicalin is mainly transported to the colon, which is quickly hydrolyzed into baicalein by the enzyme β-glucuronidase from E. coli HGU-3 <xref ref-type="bibr" rid="scirp.137343-66">
      [66]
     </xref>. Baicalein crosses the BBB more efficiently than Baicalin <xref ref-type="bibr" rid="scirp.137343-67">
      [67]
     </xref>. This transformation enhances its ability to reduce neuroinflammation and mitigate depression-like symptoms by regulating the NF-κB pathway and significantly lowering pro-inflammatory cytokine levels in the cerebral cortex <xref ref-type="bibr" rid="scirp.137343-68">
      [68]
     </xref>. Additionally, baicalein suppresses the NLRP3 inflammasome and regulates pro-inflammatory cytokines such as IL-1β, IL-6, and TNF-α in the hippocampus and hypothalamus <xref ref-type="bibr" rid="scirp.137343-69">
      [69]
     </xref>. The regulation of pro-inflammatory cytokines and NF-κB pathways is crucial for alleviating neuroinflammation linked to depression, therefore making baicalin a potential substance used to treat depression.</p>
   </sec>
  </sec><sec id="s5">
   <title>5. Conclusions</title>
   <p>To conclude, this review emphasizes multiple substances of medicinal food homology and summarizes the mechanisms and interactions with the gut microbiota, providing methods for curing depression. In recent research, the chemical process of gut microbiota and substances from medicinal food homology has been ignored. This review summarizes the interaction between polyphenol substances and gut microbiota while also analyzing their connection with depression, but certain elements remain unclear in this review. For instance, only eight typical medicinal food homology substances are mentioned and summarized in this review. Besides, the molecular structure of polyphenol substances before and after the chemical process remains to be determined. This review also lacks a direct experimental result from clinical studies that could prove the antidepressant effect of polyphenols after interacting with the gut microbiota in the human body.</p>
   <p>It is essential for the summarization of more medicinal food homology substances for the discovery of a new curing target for depression in the future. Additionally, further clinical trials are required to prove the antidepressant effect of substances in the medicinal food homology in the human body, and the synergistic effects of these substances are worth discovering in the future. The comparison between each medicinal food homology substance is to spend time figuring out the best use of each substance in a specific scenario due to their varying antidepressant characteristics. With the development of computer science, artificial intelligence could be used to sort and give out suitable substances for patients with various diseases. Lastly, the structure differences of certain substances after experiencing a chemical process with gut microbiota need further summarization. In short, understanding medicinal food homology and the mechanism of gut microbiota that increases the bioavailability of these substances is crucial in providing a possible curing target for depression <xref ref-type="bibr" rid="scirp.137343-70">
     [70]
    </xref> <xref ref-type="bibr" rid="scirp.137343-71">
     [71]
    </xref>.</p>
  </sec><sec id="s6">
   <title>Abbreviation</title>
   <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">BBB</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">blood-brain barrier</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">BDNF</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">brain-derived neurotrophic factor</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">CNS</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">central nervous system</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">CORT</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">corticotropic hormone</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">CRH</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">corticotropin-releasing hormone</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">CUS</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">chronic unpredictable stress</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">DOPAC</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">3,4-dihydroxyphenylacetic acid</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">EGCG</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">epigallocatechin-3-O-gallate</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">GA</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">gallic acid</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">IL-1β</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">interleukin 1 β</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">IL-6</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">interleukin 6</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">LPS</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">lipopolysaccharide</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">NADPH</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">nicotinamide adenine dinucleotide phosphate oxidase</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">NF-κB </p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">nuclear factor-kappa B</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">NLRP3</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">NOD-like receptor thermal protein domain associated protein 3</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">THC</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">tetrahydro curcumin</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">TNF-α</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">tumor necrosis factor-α</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="14.17%"><p style="text-align:left">SCFAs</p></td> 
     <td class="aleft" width="85.83%"><p style="text-align:left">short chain fatty acids</p></td> 
    </tr> 
   </table>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.137343-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     World Health Organization (2023). Depressive Disorder (Depression). &gt;https://www.who.int/news-room/fact-sheets/detail/depression 
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     National Institute of Mental Health (2023) Depression. National Institute of Mental Health; National Institute of Mental Health. &gt;https://www.nimh.nih.gov/health/topics/depression 
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ding, W., Wang, L., Li, L., Li, H., Wu, J., Zhang, J., et al. (2024) Pathogenesis of Depression and the Potential for Traditional Chinese Medicine Treatment. Frontiers in Pharmacology, 15, Article 1407869. &gt;https://doi.org/10.3389/fphar.2024.1407869
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, S., Han, C., Bahk, W., Lee, S., Patkar, A.A., Masand, P.S., et al. (2018) Addressing the Side Effects of Contemporary Antidepressant Drugs: A Comprehensive Review. Chonnam Medical Journal, 54, 101-112. &gt;https://doi.org/10.4068/cmj.2018.54.2.101
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, C. (2018) Understanding “Medicine and Food Homology'”, Developing Utilization in Medicine Functions. Chinese Herbal Medicines, 10, 337-338. &gt;https://doi.org/10.1016/j.chmed.2018.10.006
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wei, X., Wang, D., Liu, J., Zhu, Q., Xu, Z., Niu, J., et al. (2024) Interpreting the Mechanism of Active Ingredients in Polygonati Rhizoma in Treating Depression by Combining Systemic Pharmacology and in Vitro Experiments. Nutrients, 16, Artilce 1167. &gt;https://doi.org/10.3390/nu16081167
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yang, M., Yan, T., Yu, M., Kang, J., Gao, R., Wang, P., et al. (2020) Advances in Understanding of Health-Promoting Benefits of Medicine and Food Homology Using Analysis of Gut Microbiota and Metabolomics. Food Frontiers, 1, 398-419. &gt;https://doi.org/10.1002/fft2.49
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lippolis, T., Cofano, M., Caponio, G.R., De Nunzio, V. and Notarnicola, M. (2023) Bioaccessibility and Bioavailability of Diet Polyphenols and Their Modulation of Gut Microbiota. International Journal of Molecular Sciences, 24, Article 3813. &gt;https://doi.org/10.3390/ijms24043813
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ruhé, H.G., Mason, N.S. and Schene, A.H. (2007) Mood Is Indirectly Related to Serotonin, Norepinephrine and Dopamine Levels in Humans: A Meta-Analysis of Monoamine Depletion Studies. Molecular Psychiatry, 12, 331-359. &gt;https://doi.org/10.1038/sj.mp.4001949
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bell, C., Abrams, J. and Nutt, D. (2001) Tryptophan Depletion and Its Implications for Psychiatry. British Journal of Psychiatry, 178, 399-405. &gt;https://doi.org/10.1192/bjp.178.5.399
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rothenberg, D.O. and Zhang, L. (2019) Mechanisms Underlying the Anti-Depressive Effects of Regular Tea Consumption. Nutrients, 11, Article 1361. &gt;https://doi.org/10.3390/nu11061361
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mello, A.D.A.F.D., Mello, M.F.D., Carpenter, L.L. and Price, L.H. (2003) Update on Stress and Depression: The Role of the Hypothalamic-Pituitary-Adrenal (HPA) Axis. Revista Brasileira de Psiquiatria, 25, 231-238. &gt;https://doi.org/10.1590/s1516-44462003000400010
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sheline, Y.I. (2003) Neuroimaging Studies of Mood Disorder Effects on the Brain. Biological Psychiatry, 54, 338-352. &gt;https://doi.org/10.1016/s0006-3223(03)00347-0
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lee, B., Kim, H., Park, S. and Kim, Y. (2007) Decreased Plasma BDNF Level in Depressive Patients. Journal of Affective Disorders, 101, 239-244. &gt;https://doi.org/10.1016/j.jad.2006.11.005
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Duman, C.H., Schlesinger, L., Kodama, M., Russell, D.S. and Duman, R.S. (2007) A Role for MAP Kinase Signaling in Behavioral Models of Depression and Antidepressant Treatment. Biological Psychiatry, 61, 661-670. &gt;https://doi.org/10.1016/j.biopsych.2006.05.047
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Setiawan, E., Wilson, A.A., Mizrahi, R., Rusjan, P.M., Miler, L., Rajkowska, G., et al. (2015) Role of Translocator Protein Density, a Marker of Neuroinflammation, in the Brain during Major Depressive Episodes. JAMA Psychiatry, 72, 268-275. &gt;https://doi.org/10.1001/jamapsychiatry.2014.2427
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Miller, A.H., Maletic, V. and Raison, C.L. (2009) Inflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression. Biological Psychiatry, 65, 732-741. &gt;https://doi.org/10.1016/j.biopsych.2008.11.029
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Pasco, J.A., Nicholson, G.C., Williams, L.J., Jacka, F.N., Henry, M.J., Kotowicz, M.A., et al. (2010) Association of High-Sensitivity C-Reactive Protein with de Novo Major Depression. British Journal of Psychiatry, 197, 372-377. &gt;https://doi.org/10.1192/bjp.bp.109.076430
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Owens, M. (2004) Selectivity of Antidepressants: From the Monoamine Hypothesis of Depression to the SSRI Revolution and beyond. Journal of Clinical Psychiatry, 65, 5-10. &gt;https://www.psychiatrist.com/read-pdf/19194/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Reigstad, C.S., Salmonson, C.E., III, J.F.R., Szurszewski, J.H., Linden, D.R., Sonnenburg, J.L., et al. (2014) Gut Microbes Promote Colonic Serotonin Production through an Effect of Short-Chain Fatty Acids on Enterochromaffin Cells. The FASEB Journal, 29, 1395-1403. &gt;https://doi.org/10.1096/fj.14-259598
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yano, J.M., Yu, K., Donaldson, G.P., Shastri, G.G., Ann, P., Ma, L., et al. (2015) Indigenous Bacteria from the Gut Microbiota Regulate Host Serotonin Biosynthesis. Cell, 161, 264-276. &gt;https://doi.org/10.1016/j.cell.2015.02.047
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chen, Y., Xu, J. and Chen, Y. (2021) Regulation of Neurotransmitters by the Gut Microbiota and Effects on Cognition in Neurological Disorders. Nutrients, 13, Article 2099. &gt;https://doi.org/10.3390/nu13062099
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Barandouzi, Z.A., Starkweather, A.R., Henderson, W.A., Gyamfi, A. and Cong, X.S. (2020) Altered Composition of Gut Microbiota in Depression: A Systematic Review. Frontiers in Psychiatry, 11, Article 541. &gt;https://doi.org/10.3389/fpsyt.2020.00541
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mikulska, J., Juszczyk, G., Gawrońska-Grzywacz, M. and Herbet, M. (2021) HPA Axis in the Pathomechanism of Depression and Schizophrenia: New Therapeutic Strategies Based on Its Participation. Brain Sciences, 11, Article 1298. &gt;https://doi.org/10.3390/brainsci11101298
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, S., Zhou, S., Han, Z., Yu, B., Xu, Y., Lin, Y., et al. (2024) From Gut to Brain: Understanding the Role of Microbiota in Inflammatory Bowel Disease. Frontiers in Immunology, 15, Article 1384270. &gt;https://doi.org/10.3389/fimmu.2024.1384270
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Di Vincenzo, F., Del Gaudio, A., Petito, V., Lopetuso, L.R. and Scaldaferri, F. (2023) Gut Microbiota, Intestinal Permeability, and Systemic Inflammation: A Narrative Review. Internal and Emergency Medicine, 19, 275-293. &gt;https://doi.org/10.1007/s11739-023-03374-w
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hakansson, A. and Molin, G. (2011) Gut Microbiota and Inflammation. Nutrients, 3, 637-682. &gt;https://doi.org/10.3390/nu3060637
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Shahini, A. and Shahini, A. (2022) Role of Interleukin-6-Mediated Inflammation in the Pathogenesis of Inflammatory Bowel Disease: Focus on the Available Therapeutic Approaches and Gut Microbiome. Journal of Cell Communication and Signaling, 17, 55-74. &gt;https://doi.org/10.1007/s12079-022-00695-x
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Luqman, A., He, M., Hassan, A., Ullah, M., Zhang, L., Rashid Khan, M., et al. (2024) Mood and Microbes: A Comprehensive Review of Intestinal Microbiota’s Impact on Depression. Frontiers in Psychiatry, 15, Article 1295766. &gt;https://doi.org/10.3389/fpsyt.2024.1295766
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, M., Song, Z., Lai, S., Tang, F., Dou, L. and Yang, F. (2024) Depression-associated Gut Microbes, Metabolites and Clinical Trials. Frontiers in Microbiology, 15, Article 1292004. &gt;https://doi.org/10.3389/fmicb.2024.1292004
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Shi, M., Yang, J., Liu, Y., Zhao, H., Li, M., Yang, D., et al. (2024) Huanglian Wendan Decoction Improves Insomnia in Rats by Regulating BDNF/TrkB Signaling Pathway through Gut Microbiota-Mediated Scfas and Affecting Microglia Polarization. Molecular Neurobiology. &gt;https://doi.org/10.1007/s12035-024-04330-1
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Silva, Y.P., Bernardi, A. and Frozza, R.L. (2020) The Role of Short-Chain Fatty Acids from Gut Microbiota in Gut-Brain Communication. Frontiers in Endocrinology, 11, Article 25. &gt;https://doi.org/10.3389/fendo.2020.00025
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhou, H., S. Beevers, C. and Huang, S. (2011) The Targets of Curcumin. Current Drug Targets, 12, 332-347. &gt;https://doi.org/10.2174/138945011794815356
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     He, Y., Yue, Y., Zheng, X., Zhang, K., Chen, S. and Du, Z. (2015) Curcumin, Inflammation, and Chronic Diseases: How Are They Linked? Molecules, 20, 9183-9213. &gt;https://doi.org/10.3390/molecules20059183
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hassaninasab, A., Hashimoto, Y., Tomita-Yokotani, K. and Kobayashi, M. (2011) Discovery of the Curcumin Metabolic Pathway Involving a Unique Enzyme in an Intestinal Microorganism. Proceedings of the National Academy of Sciences of the United States of America, 108, 6615-6620. &gt;https://doi.org/10.1073/pnas.1016217108
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cheng, K.K., Yeung, C.F., Ho, S.W., Chow, S.F., Chow, A.H.L. and Baum, L. (2012) Highly Stabilized Curcumin Nanoparticles Tested in an in Vitro Blood-Brain Barrier Model and in Alzheimer’s Disease Tg2576 Mice. The AAPS Journal, 15, 324-336. &gt;https://doi.org/10.1208/s12248-012-9444-4
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref37">
    <label>37</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kumar, N. and Pruthi, V. (2014) Potential Applications of Ferulic Acid from Natural Sources. Biotechnology Reports, 4, 86-93. &gt;https://doi.org/10.1016/j.btre.2014.09.002
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref38">
    <label>38</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, Y., Shen, J., Xu, L., Li, H., Li, Y. and Yi, L. (2017) Ferulic Acid Inhibits Neuro-Inflammation in Mice Exposed to Chronic Unpredictable Mild Stress. International Immunopharmacology, 45, 128-134. &gt;https://doi.org/10.1016/j.intimp.2017.02.007
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref39">
    <label>39</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Habtemariam, S. (2017) Protective Effects of Caffeic Acid and the Alzheimer's Brain: An Update. Mini-Reviews in Medicinal Chemistry, 17, 667-674. &gt;https://doi.org/10.2174/1389557516666161130100947
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref40">
    <label>40</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Taram, F., Winter, A.N. and Linseman, D.A. (2016) Neuroprotection Comparison of Chlorogenic Acid and Its Metabolites against Mechanistically Distinct Cell Death-Inducing Agents in Cultured Cerebellar Granule Neurons. Brain Research, 1648, 69-80. &gt;https://doi.org/10.1016/j.brainres.2016.07.028
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref41">
    <label>41</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zheng, X., Cheng, Y., Chen, Y., Yue, Y., Li, Y., Xia, S., et al. (2019) Ferulic Acid Improves Depressive-Like Behavior in Prenatally-Stressed Offspring Rats via Anti-Inflammatory Activity and HPA Axis. International Journal of Molecular Sciences, 20, Article 493. &gt;https://doi.org/10.3390/ijms20030493
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref42">
    <label>42</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, Y., Hu, C., Shen, J., Wu, S., Li, Y. and Yi, L. (2017) Elevation of Synaptic Protein Is Associated with the Antidepressant-Like Effects of Ferulic Acid in a Chronic Model of Depression. Physiology&amp;Behavior, 169, 184-188. &gt;https://doi.org/10.1016/j.physbeh.2016.12.003
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref43">
    <label>43</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Han, D.S., Lee, M.J. and Kim, J.H. (2006) Antioxidant and Apoptosis-Inducing Activities of Ellagic Acid. Anticancer Research, 26, 3601-3606.
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref44">
    <label>44</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mc Cormack, B., Maenhoudt, N., Fincke, V., Stejskalova, A., Greve, B., Kiesel, L., et al. (2021) The Ellagic Acid Metabolites Urolithin a and B Differentially Affect Growth, Adhesion, Motility, and Invasion of Endometriotic Cells in Vitro. Human Reproduction, 36, 1501-1519. &gt;https://doi.org/10.1093/humrep/deab053
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref45">
    <label>45</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     DaSilva, N.A., Nahar, P.P., Ma, H., Eid, A., Wei, Z., Meschwitz, S., et al. (2017) Pomegranate Ellagitannin-Gut Microbial-Derived Metabolites, Urolithins, Inhibit Neuroinflammation in Vitro. Nutritional Neuroscience, 22, 185-195. &gt;https://doi.org/10.1080/1028415x.2017.1360558
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref46">
    <label>46</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Xu, J., Yuan, C., Wang, G., Luo, J., Ma, H., Xu, L., et al. (2018) Urolithins Attenuate Lps-Induced Neuroinflammation in BV2Microglia via MAPK, Akt, and NF-κB Signaling Pathways. Journal of Agricultural and Food Chemistry, 66, 571-580. &gt;https://doi.org/10.1021/acs.jafc.7b03285
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref47">
    <label>47</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kim, M., Marsh, E.N.G., Kim, S. and Han, J. (2010) Conversion of (3s, 4r)-Tetrahydrodaidzein to (3s)-Equol by THD Reductase: Proposed Mechanism Involving a Radical Intermediate. Biochemistry, 49, 5582-5587. &gt;https://doi.org/10.1021/bi100465y
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref48">
    <label>48</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Walsh, K.R. and Failla, M.L. (2009) Transport and Metabolism of Equol by CaCo-2 Human Intestinal Cells. Journal of Agricultural and Food Chemistry, 57, 8297-8302. &gt;https://doi.org/10.1021/jf9011906
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref49">
    <label>49</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ariyani, W. and Koibuchi, N. (2024) The Effect of Soy Isoflavones in Brain Development: The Emerging Role of Multiple Signaling Pathways and Future Perspectives. Endocrine Journal, 71, 317-333. &gt;https://doi.org/10.1507/endocrj.ej23-0314
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref50">
    <label>50</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Subedi, L., Ji, E., Shin, D., Jin, J., Yeo, J. and Kim, S. (2017) Equol, a Dietary Daidzein Gut Metabolite Attenuates Microglial Activation and Potentiates Neuroprotection in Vitro. Nutrients, 9, Article 207. &gt;https://doi.org/10.3390/nu9030207
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref51">
    <label>51</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, C., Boeren, S., Miro Estruch, I. and Rietjens, I.M.C.M. (2022) The Gut Microbial Metabolite Pyrogallol Is a More Potent Inducer of Nrf2-Associated Gene Expression than Its Parent Compound Green Tea (-)-Epigallocatechin Gallate. Nutrients, 14, Article 3392. &gt;https://doi.org/10.3390/nu14163392
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref52">
    <label>52</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Takagaki, A. and Nanjo, F. (2010) Metabolism of (−)-Epigallocatechin Gallate by Rat Intestinal Flora. Journal of Agricultural and Food Chemistry, 58, 1313-1321. &gt;https://doi.org/10.1021/jf903375s
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref53">
    <label>53</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wen, L., Tang, L., Zhang, M., Wang, C., Li, S., Wen, Y., et al. (2022) Gallic Acid Alleviates Visceral Pain and Depression via Inhibition of P2X7 Receptor. International Journal of Molecular Sciences, 23, Article 6159. &gt;https://doi.org/10.3390/ijms23116159
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref54">
    <label>54</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, W., Lin, P., Ma, L., Xu, K. and Lin, X. (2016) Separation and Determination of Flavonoids in Three Traditional Chinese Medicines by Capillary Electrophoresis with Amperometric Detection. Journal of Separation Science, 39, 1357-1362. &gt;https://doi.org/10.1002/jssc.201501287
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref55">
    <label>55</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhang, Z., Peng, X., Li, S., Zhang, N., Wang, Y. and Wei, H. (2014) Isolation and Identification of Quercetin Degrading Bacteria from Human Fecal Microbes. PLOS ONE, 9, e90531. &gt;https://doi.org/10.1371/journal.pone.0090531
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref56">
    <label>56</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Vissiennon, C., Nieber, K., Kelber, O. and Butterweck, V. (2012) Route of Administration Determines the Anxiolytic Activity of the Flavonols Kaempferol, Quercetin and Myricetin—Are They Prodrugs? The Journal of Nutritional Biochemistry, 23, 733-740. &gt;https://doi.org/10.1016/j.jnutbio.2011.03.017
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref57">
    <label>57</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rinwa, P. and Kumar, A. (2013) Quercetin Suppress Microglial Neuroinflammatory Response and Induce Antidepressent-Like Effect in Olfactory Bulbectomized Rats. Neuroscience, 255, 86-98. &gt;https://doi.org/10.1016/j.neuroscience.2013.09.044
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref58">
    <label>58</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Xia, J., Kotani, A., Hakamata, H. and Kusu, F. (2006) Determination of Hesperidin in Pericarpium Citri Reticulatae by Semi-Micro HPLC with Electrochemical Detection. Journal of Pharmaceutical and Biomedical Analysis, 41, 1401-1405. &gt;https://doi.org/10.1016/j.jpba.2006.02.030
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref59">
    <label>59</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Xie, L., Gu, Z., Liu, H., Jia, B., Wang, Y., Cao, M., et al. (2020) The Anti-Depressive Effects of Hesperidin and the Relative Mechanisms Based on the NLRP3 Inflammatory Signaling Pathway. Frontiers in Pharmacology, 11, Article 1251. &gt;https://doi.org/10.3389/fphar.2020.01251
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref60">
    <label>60</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Amaretti, A., Raimondi, S., Leonardi, A., Quartieri, A. and Rossi, M. (2015) Hydrolysis of the Rutinose-Conjugates Flavonoids Rutin and Hesperidin by the Gut Microbiota and Bifidobacteria. Nutrients, 7, 2788-2800. &gt;https://doi.org/10.3390/nu7042788
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref61">
    <label>61</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Parhiz, H., Roohbakhsh, A., Soltani, F., Rezaee, R. and Iranshahi, M. (2014) Antioxidant and Anti-Inflammatory Properties of the Citrus Flavonoids Hesperidin and Hesperetin: An Updated Review of Their Molecular Mechanisms and Experimental Models. Phytotherapy Research, 29, 323-331. &gt;https://doi.org/10.1002/ptr.5256
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref62">
    <label>62</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Fu, H., Liu, L., Tong, Y., Li, Y., Zhang, X., Gao, X., et al. (2019) The Antidepressant Effects of Hesperidin on Chronic Unpredictable Mild Stress-Induced Mice. European Journal of Pharmacology, 853, 236-246. &gt;https://doi.org/10.1016/j.ejphar.2019.03.035
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref63">
    <label>63</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kwatra, M., Ahmed, S., Gawali, B., Panda, S.R. and Naidu, V. (2020) Hesperidin Alleviates Chronic Restraint Stress and Lipopolysaccharide-Induced Hippocampus and Frontal Cortex Damage in Mice: Role of TLR4/NF-κB, P38 MAPK/JNK, Nrf2/ARE Signaling. Neurochemistry International, 140, Article ID: 104835. &gt;https://doi.org/10.1016/j.neuint.2020.104835
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref64">
    <label>64</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Gao, Z., Huang, K., Yang, X. and Xu, H. (1999) Free Radical Scavenging and Antioxidant Activities of Flavonoids Extracted from the Radix of Scutellaria Baicalensis Georgi. Biochimica et Biophysica Acta (BBA)—General Subjects, 1472, 643-650. &gt;https://doi.org/10.1016/s0304-4165(99)00152-x
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref65">
    <label>65</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, L., Dong, Y., Shan, X., Li, L., Xia, B. and Wang, H. (2019) Anti-Depressive Effectiveness of Baicalin in Vitro and in Vivo. Molecules, 24, Article 326. &gt;https://doi.org/10.3390/molecules24020326
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref66">
    <label>66</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Akao, T., Kawabata, K., Yanagisawa, E., Ishihara, K., Mizuhara, Y., Wakui, Y., et al. (2000) Balicalin, the Predominant Flavone Glucuronide of Scutellariae Radix, Is Absorbed from the Rat Gastrointestinal Tract as the Aglycone and Restored to Its Original Form. Journal of Pharmacy and Pharmacology, 52, 1563-1568. &gt;https://doi.org/10.1211/0022357001777621
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref67">
    <label>67</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chen, M., Lai, L., Li, X., Zhang, X., He, X., Liu, W., et al. (2016) Baicalein Attenuates Neurological Deficits and Preserves Blood-Brain Barrier Integrity in a Rat Model of Intracerebral Hemorrhage. Neurochemical Research, 41, 3095-3102. &gt;https://doi.org/10.1007/s11064-016-2032-8
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref68">
    <label>68</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Du, H., Chen, X., Zhang, L., Liu, Y., Zhan, C., Chen, J., et al. (2019) Microglial Activation and Neurobiological Alterations in Experimental Autoimmune Prostatitis-Induced Depressive-Like Behavior in Mice. Neuropsychiatric Disease and Treatment, 15, 2231-2245. &gt;https://doi.org/10.2147/ndt.s211288
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref69">
    <label>69</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yu, H., Zhang, F. and Guan, X. (2019) Baicalin Reverse Depressive-Like Behaviors through Regulation SIRT1-NF-κB Signaling Pathway in Olfactory Bulbectomized Rats. Phytotherapy Research, 33, 1480-1489. &gt;https://doi.org/10.1002/ptr.6340
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref70">
    <label>70</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yin, X., Li, X., Hao, Y., Zhao, Y., Zhou, J. and Shi, H. (2015) Xylocarpin H, a Limonoid of Xylocarpus granatum, Produces Antidepressant-Like Activities in Mice. Journal of Behavioral and Brain Science, 5, 524-532. &gt;https://doi.org/10.4236/jbbs.2015.511050
    </mixed-citation>
   </ref>
   <ref id="scirp.137343-ref71">
    <label>71</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Adediwura, F.A. and Bola, O.A. (2013) Antidepressant Activities of the Methanol Extract, Petroleum Ether and Ethyl Acetate Fractions of Morus mesozygia Stem Bark. Pharmacology&amp;Pharmacy, 4, 100-103. &gt;https://doi.org/10.4236/pp.2013.41014
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>