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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1238586</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Advances in protein subunit vaccines against tuberculosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1744202"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Jin-chuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2126286"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hu</surname>
<given-names>Zhi-dong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/394200"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fan</surname>
<given-names>Xiao-yong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/393773"/>
</contrib>
</contrib-group>    <aff id="aff1">
<sup>1</sup>
<institution>Shanghai Public Health Clinical Center, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>TB Center, Shanghai Emerging and Re-emerging Infectious Disease Institute, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Subash Babu, International Centers for Excellence in Research (ICER), India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Joanna Kirman, University of Otago, New Zealand; Andre Bafica, Federal University of Santa Catarina, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiao-yong Fan, <email xlink:href="mailto:xyfan008@fudan.edu.cn">xyfan008@fudan.edu.cn</email>; Zhi-dong Hu, <email xlink:href="mailto:huzhidong@fudan.edu.cn">huzhidong@fudan.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1238586</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Zhang, Xu, Hu and Fan</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zhang, Xu, Hu and Fan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Tuberculosis (TB), also known as the &#x201c;White Plague&#x201d;, is caused by <italic>Mycobacterium tuberculosis</italic> (<italic>Mtb</italic>). Before the COVID-19 epidemic, TB had the highest mortality rate of any single infectious disease. Vaccination is considered one of the most effective strategies for controlling TB. Despite the limitations of the Bacille Calmette-Gu&#xe9;rin (BCG) vaccine in terms of protection against TB among adults, it is currently the only licensed TB vaccine. Recently, with the evolution of bioinformatics and structural biology techniques to screen and optimize protective antigens of <italic>Mtb</italic>, the tremendous potential of protein subunit vaccines is being exploited. Multistage subunit vaccines obtained by fusing immunodominant antigens from different stages of TB infection are being used both to prevent and to treat TB. Additionally, the development of novel adjuvants is compensating for weaknesses of immunogenicity, which is conducive to the flourishing of subunit vaccines. With advances in the development of animal models, preclinical vaccine protection assessments are becoming increasingly accurate. This review summarizes progress in the research of protein subunit TB vaccines during the past decades to facilitate the further optimization of protein subunit vaccines that may eradicate TB.</p>
</abstract>
<kwd-group>
<kwd>tuberculosis</kwd>
<kwd>protein subunit vaccines</kwd>
<kwd>antigen epitopes</kwd>
<kwd>adjuvants</kwd>
<kwd>clinical trials</kwd>
<kwd>animal models</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="147"/>
<page-count count="14"/>
<word-count count="6765"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Microbial Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Tuberculosis (TB), caused by <italic>Mycobacterium tuberculosis</italic> (<italic>Mtb</italic>), has afflicted humans for thousands of years. <italic>Mtb</italic> is highly contagious and colonizes the respiratory tract through airborne droplets (<xref ref-type="bibr" rid="B1">1</xref>). TB remains a serious threat to public health, with 10.6 million new cases and 1.6 million deaths reported worldwide in 2021 (<xref ref-type="bibr" rid="B2">2</xref>). In addition, enormous challenges for TB prevention and treatment are posed by the emergence of multidrug-resistant TB (MDR-TB) (<xref ref-type="bibr" rid="B3">3</xref>), the lack of effective methods for the differential diagnosis of latent TB infection (LTBI) (<xref ref-type="bibr" rid="B4">4</xref>), immune disorder caused by co-infection with HIV (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>The development of the Bacille Calmette- Gu&#xe9;rin (BCG) vaccine was a major milestone in the history of global TB control. Even though it has been more than 100 years since BCG was developed, BCG is still the only licensed TB vaccine worldwide. However, its protective efficiency is still controversial due to its limited immune protection in adults (<xref ref-type="bibr" rid="B6">6</xref>). Therefore, a more effective TB vaccine that protects against different stages of the disease&#x2019;s development is urgently needed.</p>
<p>The main TB vaccine candidates include live attenuated vaccines, inactivated vaccines, recombinant viral vector vaccines, and protein subunit vaccines. Since both whole-cell-based and virus-based vaccines pose potential risks to human health, protein-subunit vaccines consisting of protective antigens may be safer and more attractive (<xref ref-type="bibr" rid="B7">7</xref>). However, the biggest concern with protein subunit vaccines is inadequate immunogenicity, therefore, optimizing the vaccine composition to trigger a potent and long-lasting immune response is crucial. Novel vaccine adjuvants are powerful tools that may overcome the immunogenicity limitations of protein subunit vaccines.</p>
<p>In this review, we focus on the advances in antigen optimization, adjuvant selection, clinical trials, animal models, and vaccination strategies of protein subunit vaccines, which may foretell the future of TB vaccine research and development.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Protein epitope optimization strategy</title>
<p>The complex genetic composition, multiple immune evasion strategies, and the lack of rigorous immune markers make the identification of key protective epitopes against <italic>Mtb</italic> a major challenge. Several methods have been used to predict the optimal epitopes for vaccine design.</p>
<p>Although CD4<sup>+</sup> T cells are necessary to protect against TB, they may not be sufficient to obtain a completely protective immune response (<xref ref-type="bibr" rid="B8">8</xref>). Many researchers have focused on identifying antigens that stimulate the CD8<sup>+</sup> T-cell-mediated responses that also play a protective role against TB and latent TB infection (LTBI) (<xref ref-type="bibr" rid="B9">9</xref>). Additionally, a growing number of studies have shown that antibodies produced by B cells contribute to the fight against TB (<xref ref-type="bibr" rid="B10">10</xref>). Therefore, vaccines that induce combined CD4<sup>+</sup>, CD8<sup>+</sup> T-, and B-cell immune responses may be the most effective. Bioinformatics tools enable the rapid analysis of the entire genome and proteome of pathogens to predict potentially protective T- or B-cell epitopes and the character of their specific binding to major histocompatibility complex (MHC) molecules (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The structure of an antigen determines the specificity, affinity, and accessibility of the binding sites to MHC or antibody, which affects the potency of the immune response (<xref ref-type="bibr" rid="B12">12</xref>). Therefore, antigen geometry can be another critical factor in vaccine design (<xref ref-type="bibr" rid="B13">13</xref>). &#x201c;Reverse vaccinology&#x201d; was proposed 20 years ago, based on the availability of genome sequence information to design vaccines. With the development and application of immunology, proteomics, systems biology, and structural biology, we have entered the era of &#x201c;Reverse vaccinology 2.0&#x201d;, in which the structural features of antigens and antibodies are used to guide the design of recombinant vaccine antigens. Developments in X-ray crystallography, electron microscopy, and computational biology have all contributed (<xref ref-type="bibr" rid="B14">14</xref>). Currently, AlphaFold2 is the most advanced protein 3D structure prediction tool (<xref ref-type="bibr" rid="B15">15</xref>). By predicting and analyzing the higher configuration of the 3D antigen structure, the linear epitopes for T-cell receptors and the conformational epitopes for B-cell receptors can be comprehensively optimized to improve vaccine protective efficiency (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Combining bioinformatics, structural information, and the AlphaFold2 prediction model to obtain the structural basis underlying protective immune responses to key epitopes is now a popular design strategy to get efficient, long-term, and broad-spectrum responses with multi-epitope TB protein subunit vaccine candidates (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Protective antigens of <italic>Mtb</italic>
</title>
<p>The composition of <italic>Mtb</italic> is complex, and many components exhibit immunogenicity. According to different characteristics and associated growth states, <italic>Mtb</italic> antigens are mainly divided into the following types:</p>
<sec id="s3_1">
<label>3.1</label>
<title>Antigens on the cell wall and capsule</title>
<p>The cell wall and capsule of <italic>Mtb</italic> contain a large number of glycolipids, lipoproteins, and glycoproteins such as cord factor, phthiocerol dimycocerosates, phosphatidylethanolamine, diacyl trehaloses, lipoarabinomannan, phosphatidyl-myoinositol mannosides, and heparin-binding adhesin, etc. (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>) They can activate immune responses and serve as candidate antigens or adjuvants for TB vaccines.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Secretory antigens</title>
<p>
<italic>Mtb</italic> can secrete numerous proteins, some of which can inhibit or induce the host immune response by promoting immune escape or activating immune signaling pathways, respectively. Most of the candidate proteins for existing TB vaccines are based on those found as secreted antigens during logarithmic growth of <italic>Mtb</italic>, such as Ag85A/B, ESAT-6, CFP10, TB10.4, MPT64, and PPE18 (<xref ref-type="bibr" rid="B20">20</xref>). The secretory antigens are ideal candidate antigens for the recombinant protein subunit vaccine because of their strong immunogenicity and ease of heterologous expression and amplification.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Dormancy phase antigens</title>
<p>The antigens modulated under the DosR regulon are the main proteins involved in the dormant survival process of <italic>Mtb</italic>. A total of 48 structural proteins are known to be involved in aerobic respiration and carbon monoxide inhibition; representative genes include <italic>HspX</italic>, <italic>Rv2623</italic>, <italic>Rv2660c</italic>, etc. (<xref ref-type="bibr" rid="B21">21</xref>) Members of the durable hypoxia response (EHR) regulon are structural genes induced after exposure to hypoxia. EHR proteins are presumed to be involved in the adaptation and survival of bacteria during a long-term bacteriostatic process (<xref ref-type="bibr" rid="B22">22</xref>). Members of the DosR and EHR regulons are considered promising antigens to be incorporated into protein subunit vaccines for treating LTBI (<xref ref-type="bibr" rid="B23">23</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Resuscitation phase antigens</title>
<p>Resuscitation promotion factors (Rpfs) are involved in the resuscitation and reactivation of dormant <italic>Mtb</italic> infection and induce specific humoral and cellular immune responses in individuals with LTBI (<xref ref-type="bibr" rid="B24">24</xref>). There are 5 Rpf-like proteins (RpfA, RpfB, RpfC, RpfD, and RpfE) with partially overlapping functions in <italic>Mtb</italic>. Rpfs, especially RpfB, can trigger a memory T-cell response and has been hypothesized to be an essential antigenic target controlling bacterial activation. Rpfs can be used as candidate antigens for protein subunit vaccines against LTBI infection (<xref ref-type="bibr" rid="B25">25</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>BCG regions of difference (RD) antigens</title>
<p>BCG strains have structures similar to <italic>Mtb</italic>, but 16 genomic region of difference (RD) antigens are deficient in BCG compared to <italic>Mtb</italic> (<xref ref-type="bibr" rid="B26">26</xref>). The RD1 gene products contain a variety of potential virulence factors, such as ESAT-6 and CFP10 (<xref ref-type="bibr" rid="B26">26</xref>). They play multiple roles in <italic>Mtb</italic> progression and pathogenicity, and are considered suitable candidates for use in treatment and diagnosis (<xref ref-type="bibr" rid="B27">27</xref>). The poor protective effect of BCG may be related to the loss of a large number of genes encoding protective antigens. Therefore, RD antigens should be emphasized in constructing recombinant protein subunit vaccines.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Adjuvants</title>
<p>With the limitations in immunogenicity and bioavailability, excellent adjuvants are critical for protein subunit vaccines. Alum has been the only licensed adjuvant in human vaccines for several decades. However, it has been considered unsuitable for vaccines against intracellular pathogens such as <italic>Mtb</italic> due to its insufficient ability to induce Th1 cellular immunity and CD8<sup>+</sup> cytotoxic responses. TB-specific adjuvants that induce a strong immune response in the lungs but minimize the corresponding tissue damage are ideal. In order to meet the needs of TB vaccine development, a workshop entitled &#x201c;Vaccine Adjuvants for Advancing the treatment of Mycobacterium tuberculosis&#x201d; was held in July 2020, and factors correlates of protective immunity, targeting specific immune cells, immune evasion mechanisms, and animal models were identified as four research areas critical to the development of optimal TB vaccine adjuvants (<xref ref-type="bibr" rid="B28">28</xref>). In recent years, a variety of novel adjuvants have been developed, and most available protein subunit vaccine adjuvants are based on Toll-like receptor (TLR) agonists and use liposomes and emulsions as delivery vehicles as shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. In addition, nanoparticle-based adjuvants have received extensive attention in recent years, and various novel nanoadjuvants have been used in some of these vaccines.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Protein subunit vaccine candidates undergoing pre-clinical and clinical trials.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Vaccine Candidates</th>
<th valign="top" align="left">Antigens</th>
<th valign="top" align="left">Adjuvants</th>
<th valign="top" align="left">Adjuvant components</th>
<th valign="top" align="left">Adjuvant targets</th>
<th valign="top" align="left">Immune responses</th>
<th valign="top" align="left">Immunization strategies</th>
<th valign="top" align="left">Trial phases</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CysVac2/Advax</td>
<td valign="top" align="left">CysD, Ag85B</td>
<td valign="top" align="left">Advax</td>
<td valign="top" align="left">Delta isoform of inulin formed cationic particles (1-2 &#x3bc;m)</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">IL-17-secreting lung-resident CD4<sup>+</sup> memory T cells (IFN-&#x3b3;, TNF-&#x3b1;, IL-2, IL-17)</td>
<td valign="top" align="left">Prevention, and therapeutic</td>
<td valign="top" align="left">Pre-clinical</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">LT70</td>
<td valign="top" align="left">ESAT-6, Ag85B, peptide 190&#x2013;198 of MPT64, Mtb8.4, Rv2626c</td>
<td valign="top" align="left">DDA/PolyI:C</td>
<td valign="top" align="left">DDA and PolyI:C</td>
<td valign="top" align="left">TLR-3</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (IFN-&#x3b3;, IL-2) and antigen-specific IgG1 and IgG2c</td>
<td valign="top" align="left">BCG booster Therapeutic</td>
<td valign="top" align="left">Pre-clinical</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">CFMO-DMT</td>
<td valign="top" align="left">Rv2875, Rv3044, Rv2073c, Rv0577</td>
<td valign="top" align="left">DMT</td>
<td valign="top" align="left">DDA, MPL and TDB</td>
<td valign="top" align="left">TLR-4</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (IFN-&#x3b3;, IL-2, TNF-&#x3b1;, IL-17A) and IFN-&#x3b3;<sup>+</sup> CD8<sup>+</sup> T cells</td>
<td valign="top" align="left">Prevention, therapeutic, and prevent recurrence</td>
<td valign="top" align="left">Pre-clinical</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B42">42</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">H64/H74:CAF01</td>
<td valign="top" align="left">H64 (EsxA, EspD, EspC, EspE, EspR, PE35); H74 (EspB, EsxA, EspD, EspC, EspA, EspR)</td>
<td valign="top" align="left">CAF01</td>
<td valign="top" align="left">DDA and TDB</td>
<td valign="top" align="left">Mincle</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (TNF-&#x3b1;, IL-2)</td>
<td valign="top" align="left">BCG booster</td>
<td valign="top" align="left">Pre-clinical</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">H107</td>
<td valign="top" align="left">PPE68, ESAT-6, EspI, EspC, EspA, MPT64, MPT70, MPT83</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Less-differentiated CD4 Th1 cells and increased Th17 responses</td>
<td valign="top" align="left">BCG booster</td>
<td valign="top" align="left">Pre-clinical</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B50">50</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">AEC/BC02</td>
<td valign="top" align="left">Ag85B, ESAT-6-CFP10</td>
<td valign="top" align="left">BC02</td>
<td valign="top" align="left">CpG DNA fragment and aluminum salt</td>
<td valign="top" align="left">TLR-9</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (IFN-&#x3b3;, IL-2) and antigen-specific IgG, IgG1, and IgG2a</td>
<td valign="top" align="left">Prevention, and therapeutic</td>
<td valign="top" align="left">Phase I</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">ID93+GLA-SE</td>
<td valign="top" align="left">Rv2608, Rv3619, Rv3620, Rv1813</td>
<td valign="top" align="left">GLA-SE</td>
<td valign="top" align="left">GLA in a stable oil-in-water SE</td>
<td valign="top" align="left">TLR-4</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (IFN-&#x3b3;, TNF-&#x3b1;, IL-2) and antigen-specific IgG1 and IgG3</td>
<td valign="top" align="left">BCG booster, therapeutic, and prevent recurrence</td>
<td valign="top" align="left">Phase IIa</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">H56:IC31</td>
<td valign="top" align="left">Ag85B, ESAT6, Rv2660c</td>
<td valign="top" align="left">IC31</td>
<td valign="top" align="left">Antimicrobial peptide KLKL5KLK and ODN1a</td>
<td valign="top" align="left">TLR-9</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (IFN-&#x3b3;, TNF-&#x3b1;, IL-2) and antigen-specific IgG</td>
<td valign="top" align="left">BCG booster, therapeutic, and prevent recurrence</td>
<td valign="top" align="left">Phase IIb</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">M72/AS01<sub>E</sub>
</td>
<td valign="top" align="left">Mtb 32A, Mtb 39A</td>
<td valign="top" align="left">AS01E</td>
<td valign="top" align="left">MPL and the saponin component QS21 co-prepared in cholesterol</td>
<td valign="top" align="left">TLR-4</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (IFN-&#x3b3;, IL-2, TNF-&#x3b1;, IL-17), CD8<sup>+</sup> T cells (IFN-&#x3b3; or TNF-&#x3b1;), NK cell IFN-&#x3b3;, and antigen-specific IgG</td>
<td valign="top" align="left">BCG booster, and therapeutic</td>
<td valign="top" align="left">Phase IIb</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B73">73</xref>&#x2013;<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Gam TBvac</td>
<td valign="top" align="left">ESAT-6, CFP10,<break/>Ag85A</td>
<td valign="top" align="left">Dextran/CpG</td>
<td valign="top" align="left">DEAE-dextran polymer associating with BCG-derived unmethylated CpG oligodeoxynucleotide</td>
<td valign="top" align="left">TLR-9</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (IFN-&#x3b3;, IL-2, TNF-&#x3b1;), CD8<sup>+</sup> T cell IFN-&#x3b3;, and antigen-specific IgG</td>
<td valign="top" align="left">BCG booster</td>
<td valign="top" align="left">Phase IIb</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B83">83</xref>&#x2013;<xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DDA, dimethyldioctadecylammonium; PolyI:C, polyinosinic-polycytidylic acid; MPL, ligand3-O-desacyl-4&#x2032;-monophosphoryl lipid A; TDB, trehalose-6,6-dibehenate; CpG, cellular guanine phosphate; GLA, Glucopyranosyl Lipid A; SE, squalene emulsion; ODN1a, oligodeoxynucleotide (ODN) 1a; DEAE, Polycationic diethylaminoethyl.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4_1">
<label>4.1</label>
<title>CAF01</title>
<p>CAF01 comprises cationic surfactant lipid-based liposomes dimethyldioctadecylammonium (DDA) and glycolipid immunomodulator trehalose-6,6-dibehenate (TDB). DDA is a potent adjuvant capable of eliciting cellular and humoral immune responses (<xref ref-type="bibr" rid="B46">46</xref>). TDB is a synthetic analog of mycobacterial cord factor that is located in the cell wall of mycobacteria and has intrinsic immunostimulatory properties that activate Mincle (<xref ref-type="bibr" rid="B47">47</xref>). TDB incorporated with DDA creates a stable liposome by forming hydrogen bonds between the liposome membrane and the surrounding water. CAF01 has been shown to generate a Th1/Th17 polarization response via Mincle-dependent IL-1 production and subsequent MyD88 signaling (<xref ref-type="bibr" rid="B48">48</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>AS01 and DMT</title>
<p>AS01 is a liposome-based adjuvant that consists of the 3-O-desacyl-4&#x2032;-monophosphoryl lipid A (MPL) and the saponin QS-21 (<italic>Quillaja saponaria</italic> extract), co-prepared in the presence of cholesterol (<xref ref-type="bibr" rid="B73">73</xref>). MPL acts as a TLR4 agonist, stimulates NF-&#x3ba;B transcriptional activity, and induces a Th1 response. QS-21 can enhance the antigen presentation ability of antigen-presenting cells (APCs) and activate/differentiate T cells towards Th1 immune responses. DMT is a combination of the MPL, DDA, and TDB that provides more potent and longer-lasting protective efficacy, including antigen-specific CD4<sup>+</sup> Th1 response, IFN-&#x3b3;<sup>+</sup> CD8<sup>+</sup> CTL response, and limited humoral response (<xref ref-type="bibr" rid="B42">42</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>GLA-SE</title>
<p>GLA-SE is a mixture of the TLR4 agonist glucopyranosyl lipid A (GLA) and squalene emulsion (SE) (<xref ref-type="bibr" rid="B56">56</xref>). GLA is a synthetic lipopolysaccharide (LPS) derivative that maintains vigorous immunostimulatory activity and has low toxicity (<xref ref-type="bibr" rid="B57">57</xref>). SE is able to increase the secretion of proinflammatory cytokines such as IL-6, IL-12, and TNF (<xref ref-type="bibr" rid="B58">58</xref>). Both GLA and SE alone can promote IgG2 response, while the combination of GLA-SE can induce considerable Th1 response (<xref ref-type="bibr" rid="B56">56</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>IC31</title>
<p>IC31 comprises the synthetic, positively charged antimicrobial peptide KLKL5KLK and oligodeoxynucleotide 1a (ODN1a) (<xref ref-type="bibr" rid="B64">64</xref>). ODN1a is an immune stimulatory molecule that promotes Th1-biased immune responses through the TLR9/MyD88 pathway. KLK can act as an immune stimulator that aids transfer into cells in the absence of cell membrane permeability, allowing more efficient functioning of intracellular TLRs (<xref ref-type="bibr" rid="B65">65</xref>). KLK induces a Th2 immune response when used alone and a stronger Th1 and Th2 immunity when combined with ODNla (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>).</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Dextran/CpG</title>
<p>Dextran/CpG is a novel adjuvant developed with diethyl aminoethyl (DEAE)-dextran and CpG ODN (<xref ref-type="bibr" rid="B83">83</xref>). CpG is a TLR9 agonist with the ability to promote Th1 immune responses (secretion of IFN-&#x3b3;, TNF-&#x3b1;, and IL-12 cytokines), opsonizing antibodies (IgG2a), and potent CD8<sup>+</sup> T cell responses (<xref ref-type="bibr" rid="B84">84</xref>). Dextran interacts with DC-SIGN family receptors, mannose receptors, and langerin, all triggering innate immunity that promotes inflammation. Furthermore, Dextran/CpG adjuvant enhances activation of lymph node-resident APCs, thus enhancing T-cell priming (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B83">83</xref>).</p>
</sec>
<sec id="s4_6">
<label>4.6</label>
<title>Advax</title>
<p>Advax is a novel cationic adjuvant based on the Delta inulin isoform and has a diameter of about 1-2 &#x3bc;m (<xref ref-type="bibr" rid="B30">30</xref>). Advax-based adjuvants have been shown to promote protective immunity against several pathogens in various animal species (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). The potent chemotactic effect induced by Advax enables leukocyte recruitment to the site of inoculation and elicits a broad range of immune responses, including humoral response, Th1, Th2, and Th17 T-cell responses (<xref ref-type="bibr" rid="B31">31</xref>).</p>
</sec>
<sec id="s4_7">
<label>4.7</label>
<title>BC02</title>
<p>BC02 consists of BCG-derived unmethylated CpG DNA fragments and aluminum salts (Al(OH)<sub>3</sub>) (<xref ref-type="bibr" rid="B51">51</xref>). CpG tends to induce Th1-type immune responses, while alum skews the response to promote the Th2 response to secrete IL-4 and IL-5 cytokines and produce IgG1 and IgE-type antibodies (<xref ref-type="bibr" rid="B52">52</xref>). BC02 induces robust Th1 and Th2 responses with acceptable safety (<xref ref-type="bibr" rid="B51">51</xref>).</p>
</sec>
<sec id="s4_8">
<label>4.8</label>
<title>DDA/poly(I:C)</title>
<p>DDA/poly(I:C) is composed of cationic liposome vector DDA and polyriboinosinic acid&#x2013;polyribocytidylic acid, poly(I:C). Poly(I:C) mimics viral dsRNA and is a promising immune stimulator candidate for vaccines against intracellular pathogens. Poly(I:C) signaling primarily depends on TLR3 and melanoma differentiation-associated gene-5 (MDA-5) (<xref ref-type="bibr" rid="B36">36</xref>). Moreover, poly(I:C) induces strong Th1-skewed immune responses, with enhanced IFN-&#x3b3;, IL-6, IL-12p70 as well as high antigen-specific IgG antibody (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>).</p>
</sec>
<sec id="s4_9">
<label>4.9</label>
<title>Nanoadjuvants</title>
<p>With the development of nanotechnology and the increasing understanding of immune responses to metals, different types of inorganic nanoadjuvants have been developed, including manganese (<xref ref-type="bibr" rid="B88">88</xref>), iron (<xref ref-type="bibr" rid="B89">89</xref>), silicon (<xref ref-type="bibr" rid="B90">90</xref>), magnesium (<xref ref-type="bibr" rid="B91">91</xref>), and gold-based adjuvants (<xref ref-type="bibr" rid="B92">92</xref>), etc. The commonly used polymers are poly-lactic-co-glycolic acid (PLGA), which can be constructed into nano- or larger particles to improve immune response efficiency (<xref ref-type="bibr" rid="B93">93</xref>). Compared with the traditional adjuvants, the novel inorganic nanoadjuvants can better activate both humoral and cellular immunity, induce a more balanced Th1/Th2 immune response and improve the safety and effectiveness of vaccines (<xref ref-type="bibr" rid="B94">94</xref>). Inorganic nanoadjuvants have been used in vaccines for various diseases, such as coronavirus (<xref ref-type="bibr" rid="B95">95</xref>), cancer (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B96">96</xref>), and pertussis (<xref ref-type="bibr" rid="B97">97</xref>). Nanoadjuvants for TB vaccines are also being developed to enhance the immune response and extend the duration of protection (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B99">99</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Pre-clinical and clinical trials</title>
<p>Pre-clinical and clinical trials are always needed to evaluate the safety and efficacy of novel vaccine candidates. We summarize the significant progression of protein subunit vaccines in recent trials.</p>
<sec id="s5_1">
<label>5.1</label>
<title>Pre-clinical phases</title>
<sec id="s5_1_1">
<label>5.1.1</label>
<title>CysVac2/Advax</title>
<p>CysD is an important protein in the sulfur assimilation pathway of <italic>Mtb</italic> that is up-regulated during LTBI (<xref ref-type="bibr" rid="B33">33</xref>). CysVac2, which consists of CysD and the acute phase antigen Ag85B, is an effective prophylactic and therapeutic vaccine, particularly effective in controlling an advanced infection (<xref ref-type="bibr" rid="B34">34</xref>). Notably, administration of CysVac2 to mice previously infected with TB significantly reduced bacterial load and immunopathological damage in the lungs compared to mice vaccinated with BCG (<xref ref-type="bibr" rid="B33">33</xref>). CysVac2 with Advax elicited multifunctional CD4<sup>+</sup> T cells with enhanced secretion of IFN-&#x3b3;, TNF, and IL-2. Moreover, CysVac2/Advax induced the accumulation of lung-resident memory T cells expressing IL-17 and ROR&#x3b3;T before and after the <italic>Mtb</italic> aerosol challenge (<xref ref-type="bibr" rid="B35">35</xref>). Thus, CysVac2/Advax was shown to be a suitable vaccine candidate for the control of TB pulmonary infection.</p>
</sec>
<sec id="s5_1_2">
<label>5.1.2</label>
<title>LT70</title>
<p>LT70 is a multistage protein subunit vaccine composed of antigens prominent at different metabolic stages of the <italic>Mtb</italic> life cycle, including ESAT-6, Ag85B, peptide 190-198 of MPT64, proliferative phase antigen Mtb8.4 and latency-associated antigen Rv2626c, with DDA/Poly(I:C) as an adjuvant (<xref ref-type="bibr" rid="B39">39</xref>). In a murine model, LT70 induced robust antigen-specific humoral (secretion of IgG1 and IgG2c antibodies) and Th1 cell immunity response (IFN-&#x3b3;, IL-2) with immune protection against <italic>Mtb</italic> infection superior to that provided by BCG. When used as a booster vaccine, it enhanced the protective effect of BCG by reducing the bacterial load in the lungs of mice (<xref ref-type="bibr" rid="B39">39</xref>). Another study showed that LT70 had a significant therapeutic effect on LTBI in mice (<xref ref-type="bibr" rid="B40">40</xref>). In addition, prolonged LT70 inoculation intervals (0-4-12w) produced stronger protective effects and tended to induce long-term central memory T cells (T<sub>CM</sub>, stronger IL-2 secretion capacity) rather than effector memory T cells (T<sub>EM</sub>, stronger IFN-&#x3b3; secretion capacity) (<xref ref-type="bibr" rid="B41">41</xref>).</p>
</sec>
<sec id="s5_1_3">
<label>5.1.3</label>
<title>CFMO-DMT</title>
<p>CMFO is a multistage subunit vaccine (containing Rv2875, Rv3044, Rv2073c, and Rv0577) administered subcutaneously adjuvanted with DMT (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). CMFO-DMT could induce the immune response of IFN-&#x3b3;<sup>+</sup> or IL-2<sup>+</sup> CD4<sup>+</sup> T cells and IFN-&#x3b3;<sup>+</sup> CD8<sup>+</sup> T<sub>EM</sub> cells in spleen more effectively than BCG (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>). CMFO-DMT prevented <italic>Mtb</italic> reactivation by eliminating the bacterial load from the lung and spleen in LTBI mice (<xref ref-type="bibr" rid="B43">43</xref>), suggesting CMFO-DMT is a promising adult TB vaccine candidate for preventive and therapeutic purposes.</p>
</sec>
<sec id="s5_1_4">
<label>5.1.4</label>
<title>H64/H74/H107</title>
<p>H64 (EsxA, EspD, EspC, EspE, EspR, and PE35), H74 (EspB, EsxA, EspD, EspC, EspA, and EspR), and H107 (PPE68, ESAT-6, EspI, EspC, EspA, MPT64, MPT70, and MPT83) are protein subunit vaccines composed of <italic>Mtb</italic>&#x2013;specific antigens (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). H64, and H74 showed comparable protection to H65 (consisting of antigens also present in BCG) in mice and guinea pigs. However, when used as a BCG booster vaccine, H65-induced highly differentiated CD4<sup>+</sup> T cells that did not contribute to the protective effect of BCG, while H64 and H74 induced less differentiated and versatile CD4<sup>+</sup> T cells (secreting TNF-&#x3b1; alone or TNF-&#x3b1; and IL-2 in combination) with a protective effect against <italic>Mtb</italic> pulmonary infection (<xref ref-type="bibr" rid="B49">49</xref>). H107 vaccination also significantly increased the clonal diversity of the BCG-induced CD4<sup>+</sup> T cell repertoire, including Th17-responsive and poorly differentiated memory CD4<sup>+</sup> Th1 cells (<xref ref-type="bibr" rid="B50">50</xref>). Therefore, protein subunit vaccines containing <italic>Mtb</italic>-specific antigens may have more potential to serve as booster vaccines in BCG-primed populations.</p>
</sec>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Phase I clinical trials</title>
<sec id="s5_2_1">
<label>5.2.1</label>
<title>AEC/BC02</title>
<p>AEC/BC02 is a vaccine candidate for LTBI consisting of Ag85B and the fusion protein ESAT-6-CFP10 with adjuvant BC02 (<xref ref-type="bibr" rid="B53">53</xref>). Preclinical studies have shown that AEC/BC02 can induce long-term antigen-specific cellular immune responses in mice. In addition, AEC/BC02 reduced the risk of the Koch phenomenon in a guinea pig LTBI model (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B54">54</xref>). In a murine LTBI model, after AEC/BC02 therapy, the bacterial load in the spleen and lung was significantly reduced. Furthermore, AEC/BC02 induced a significant Th1 response with antigen-specific release of IFN-&#x3b3;, IL-2, and IgG (IgG1, and IgG2) (<xref ref-type="bibr" rid="B55">55</xref>). A phase Ib clinical trial evaluating the safety and immunogenicity of AEC/BC02 in healthy adults has been completed (NCT04239313), and volunteers are currently being recruited for phase II trials.</p>
</sec>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Phase II clinical trials</title>
<sec id="s5_3_1">
<label>5.3.1</label>
<title>ID93+GLA-SE</title>
<p>ID93+GLA-SE comprises four <italic>Mtb</italic> antigens (Rv2608, Rv3619, Rv3620, and Rv1813) with GLA-SE as an adjuvant (<xref ref-type="bibr" rid="B59">59</xref>). In mice and guinea pigs, ID93+GLA-SE protected against <italic>Mtb</italic> virulent strain H37Rv and multidrug-resistant strain TN5904 (<xref ref-type="bibr" rid="B60">60</xref>). ID93+GLA-SE combined with the first-line anti-TB drugs rifampicin and isoniazid showed therapeutic efficacy in <italic>Mtb</italic>-infected mice and nonhuman primate (NHP) models (<xref ref-type="bibr" rid="B61">61</xref>). ID93+GLA-SE was found to provide long-lasting protection by inducing antigen-specific IgG1 and IgG3 and multifunctional CD4<sup>+</sup> T cell responses with enhanced IFN-&#x3b3;, TNF, and IL-2 secretion in a phase I trial (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B62">62</xref>). A phase IIa trial showed that ID93+GLA-SE enhanced therapeutic efficacy and reduced disease recurrence by inducing robust cellular and humoral immune responses (<xref ref-type="bibr" rid="B63">63</xref>). Phase IIb trials that are aimed at preventing TB recurrence are currently in preparation.</p>
</sec>
<sec id="s5_3_2">
<label>5.3.2</label>
<title>H56:IC31</title>
<p>H56:IC31 is formed by Ag85B, ESAT-6, and Rv2660c protein fusion with adjuvant IC31. Due to the presence of the latency-associated protein Rv2660c, a protective effect of H56 in the murine LTBI model was expected and this was observed (<xref ref-type="bibr" rid="B68">68</xref>). In NHP aerosol challenge models, H56:1C31 limited the development of advanced infection and LTBI (<xref ref-type="bibr" rid="B69">69</xref>). In a phase I trial, the vaccine induced antigen-specific IgG and CD4<sup>+</sup> T cell responses (IFN-&#x3b3;, TNF-&#x3b1;, IL-2) (<xref ref-type="bibr" rid="B70">70</xref>). In a phase I/IIa clinical trial, variations in the dose and time of H56:IC31 inoculation were studied. Two to three vaccination doses were optimal with acceptable safety and tolerability (<xref ref-type="bibr" rid="B71">71</xref>). Phase IIb trials of H56:IC31 to reduce TB recurrence in HIV-negative patients receiving anti-TB chemotherapy are ongoing (NCT03512249) (<xref ref-type="bibr" rid="B72">72</xref>).</p>
</sec>
<sec id="s5_3_3">
<label>5.3.3</label>
<title>M72/AS01<sub>E</sub>
</title>
<p>M72/AS01<sub>E</sub> is composed of two immunogenic <italic>Mtb</italic> fusion proteins (Mtb32A and Mtb39A) with AS01<sub>E</sub> as an adjuvant. M72/AS01<sub>E</sub> protected against <italic>Mtb</italic> invasion after aerosol infection when administered intramuscularly to C57BL/6 mice and guinea pigs (<xref ref-type="bibr" rid="B74">74</xref>). When used as a BCG booster vaccine, M72/AS01<sub>E</sub> provided long-term protection and improved guinea pig and NHP survival post <italic>Mtb</italic> infection (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). The vaccine was protective against TB in adults in a phase II trial, but the trial was suspended because local reactions were observed in some vaccinated individuals (<xref ref-type="bibr" rid="B77">77</xref>). The safety and immunogenicity of M72/AS01<sub>E</sub> were evaluated in HIV-negative adolescents in TB-endemic areas. The results showed that M72/AS01<sub>E</sub> was safe and could induce M72/AS01<sub>E</sub> -specific IgG antibody, CD4<sup>+</sup> (IFN-&#x3b3;, TNF-&#x3b1;, IL-2 and/or IL-17), CD8<sup>+</sup> (IFN-&#x3b3;, TNF-&#x3b1;) T-cells and antigen-dependent NK cell IFN-&#x3b3; production (<xref ref-type="bibr" rid="B78">78</xref>). Another phase II trial, in India, showed elevated cellular and humoral responses by M72/AS01<sub>E</sub> in both HIV-negative and HIV-positive individuals that persisted for 3 years with no safety concerns (<xref ref-type="bibr" rid="B79">79</xref>). Subsequently, a Phase II clinical trial showed that M72/AS01<sub>E</sub> provided 54% protection against progression to active pulmonary TB in LTBI adults, without significant adverse effects (<xref ref-type="bibr" rid="B80">80</xref>). In a randomized placebo-controlled phase IIb study, M72/AS01<sub>E</sub> protected adults against active TB by 49.7% for at least 3 years without serious safety concerns (<xref ref-type="bibr" rid="B81">81</xref>). However, it is doubtful that the excellent protection of M72/AS01<sub>E</sub> is mainly based on data from a single population, and large-scale long-term trials in a wider population are needed (<xref ref-type="bibr" rid="B82">82</xref>).</p>
</sec>
<sec id="s5_3_4">
<label>5.3.4</label>
<title>GamTBvac</title>
<p>The GamTBvac vaccine combines TB antigens ESAT-6, CFP10, and Ag85A with a novel adjuvant, dextran/CpG. GamTBvac showed significant immunogenicity and protection in <italic>Mtb</italic>-infected mice and guinea pigs when used as a BCG booster vaccine (<xref ref-type="bibr" rid="B85">85</xref>). GamTBvac was found to be immunogenic and safe in a phase I trial in BCG-vaccinated, uninfected healthy people (<xref ref-type="bibr" rid="B86">86</xref>). A completed phase IIa trial showed that GamTBvac was safe and had considerable immunogenicity in inducing CD4<sup>+</sup> T cells expressing Th1 cytokines (IFN-&#x3b3;, IL-2, and TNF-&#x3b1;), CD8<sup>+</sup> T cells secreting IFN-&#x3b3;, and IgG responses (<xref ref-type="bibr" rid="B87">87</xref>). Phase III trials to evaluate the vaccine&#x2019;s protective efficacy against TB in large populations are currently enrolling volunteers (NCT04975737).</p>
</sec>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Animal models</title>
<p>Evaluating vaccine safety and protection in animal models is obligatory before a vaccine enters clinical trials. The development of animal models of TB has advanced the understanding of host responses to <italic>Mtb</italic> infection and accelerated the development of TB vaccines. Currently, many animal models are used for TB vaccine evaluation (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Animal models of Tuberculosis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1238586-g001.tif"/>
</fig>
<sec id="s6_1">
<label>6.1</label>
<title>Mice</title>
<p>Mice provide the most widely used models due to the advantages of relatively low price, short experiment cycle, mature immunological evaluation indicators, abundant commercial reagents and genetically modified inbred strains (<xref ref-type="bibr" rid="B100">100</xref>). The mouse strains most commonly used in evaluating the immune efficacy of TB vaccines are BALB/c and C57BL/6, which are sensitive to TB vaccines immunization routes (<xref ref-type="bibr" rid="B101">101</xref>). However, the immune response induced by TB vaccine was different in BALB/c and C57BL/6 mice. M Carmen Garcia-Pelayo et&#xa0;al. found that although BCG present equally protective in BALB/c and C57BL/6 mice, it was display more enhanced Th1 and Th17 response in BALB/c mice than C57BL/6 mice (<xref ref-type="bibr" rid="B102">102</xref>). In another study, ChAdOx1.PPE15 as a booster vaccine for BCG improved the efficacy of BCG in C57BL/6 mice, but not in BALB/c mice (<xref ref-type="bibr" rid="B103">103</xref>). The susceptibility to TB and the protective responses to the vaccines vary according to the route of infection and immunization. Subcutaneous immunization is the most classic immunization method for TB vaccine, but mucosal immunization has received extensive attention in the pathogenic bacteria infected by mucosal route. A multrivalent chimpanzee adenovirus vectored vaccine developed by Sam Afkhami et&#xa0;al. showed strong protection against both replicating and dormant <italic>Mtb</italic> through mucosal immunization (<xref ref-type="bibr" rid="B104">104</xref>). Previous research by Claudio Counoupas et&#xa0;al. have shown that intratracheal instillation of CysVac2/Advax protected mice more effectively than the intramuscular vaccine (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>However, despite a high genetic similarity between mice and humans, significant differences in clinical immune responses between mice and humans have stalled clinical trials of many novel vaccines that had previously shown considerable efficacy in murine models. To overcome this problem, humanized mouse models have been extensively studied in recent years. Humanized mice have a reshaped immune system, making the immune responses more like those of humans. They have been widely used in studies of epitopes and epitope-based TB protein subunit vaccine development (<xref ref-type="bibr" rid="B105">105</xref>). Although the use of humanized murine models has enabled many advances in TB vaccine research, deficiencies in the models such as the inability to establish LTBI and granulomas (<xref ref-type="bibr" rid="B100">100</xref>), abnormal T-cell responses, and the inability to control bacterial load have limited their use.</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>NHPs</title>
<p>NHPs can better represent the human immune responses for assessment of the safety and efficacy of TB vaccines and adjuvants due to the close genetic and pathophysiological similarities between NHPs and humans. Rhesus macaques (RM) and cynomolgus macaques (CM) are the most commonly used primate models for TB vaccine research. It is well known that there are differences between macaque species in their ability to control disease progression, with RM showing higher rates of progression and higher levels of bacterial burden compared to CM (<xref ref-type="bibr" rid="B106">106</xref>). RM are often used in vaccine evaluation studies because the results of infection are more uniform than CM, while RM are often used in drug evaluation studies because they are better able to control the disease (<xref ref-type="bibr" rid="B107">107</xref>). NHPs provide essential insights into host-pathogen interactions during TB infection by simulating the pathogenesis of TB in humans, including the occurrence of LTBI and granuloma formation (<xref ref-type="bibr" rid="B108">108</xref>). NHPs can be used to evaluate the immune effect of different vaccine administration pathways and immunization strategies (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B109">109</xref>).</p>
<p>The use of the NHP models has brought some breakthroughs in TB vaccine development in recent years. First of all, the preclinical evaluation of novel vaccines by the NHP model has facilitated the transformation of vaccines to prevent and therapy <italic>Mtb</italic> infection (<xref ref-type="bibr" rid="B110">110</xref>&#x2013;<xref ref-type="bibr" rid="B112">112</xref>). The ultra-low dose aerosol-infected NHP model better simulates the course of human infection with TB and can accurately evaluate the vaccine immune efficacy (<xref ref-type="bibr" rid="B113">113</xref>). Moreover, using NHP makes it possible to study the interactions of cells within lung granulomas, which cannot be done in human samples. Laura Hunter et&#xa0;al. used infection in RM and CM models to determine the basic composition of granulomas induced after infection with the <italic>Mtb</italic> Erdman strain, as well as the spatial distribution of immune cells in granulomas in RM and CM and changes over time (<xref ref-type="bibr" rid="B114">114</xref>). This informs research into TB vaccines and treatments, and may provide novel immunotherapy strategies against TB. Furthermore, the development of body scanning technology, particularly the combination of PET and CT scans, has made it possible to quantitatively evaluate the protective efficacy of TB vaccines in NHP models (<xref ref-type="bibr" rid="B115">115</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>). This strategy allows vaccine evaluation in less time and at a lower cost. However, the high cost of the animals and experimental facilities, as well as the limited quantity available, have hindered their widespread application.</p>
</sec>
<sec id="s6_3">
<label>6.3</label>
<title>Guinea pigs</title>
<p>Guinea pigs are also a commonly used animal model in the study of TB. Guinea pigs are more susceptible to <italic>Mtb</italic> than mice and can form classical granulomas similar to humans (<xref ref-type="bibr" rid="B118">118</xref>). Therefore, they are suited to studies of the pathogenesis of TB and the assessment of vaccines and drugs (<xref ref-type="bibr" rid="B119">119</xref>). Guinea pigs have also been used to study the response of Ag-specific T cells to mycobacterium lipids and lipopeptide-rich Ag preparations (<xref ref-type="bibr" rid="B120">120</xref>). Diabetes can fuel TB epidemics, and T2D co-infection with TB has been modeled in guinea pigs in recent years and used to test novel therapy approaches (<xref ref-type="bibr" rid="B121">121</xref>&#x2013;<xref ref-type="bibr" rid="B123">123</xref>). However, guinea pigs are more expensive, lack test reagents, and are more difficult to genetically manipulate than mice. Adjuvant subunit vaccines tend to be less protective in guinea pigs than in mice, resulting in few successful trials of adjuvants in guinea pig models (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B124">124</xref>). The cause of the limited protective immunity provided by adjuvants in guinea pig models awaits clarification, and more tools and reagents are needed for guinea pig models.</p>
</sec>
<sec id="s6_4">
<label>6.4</label>
<title>Pigs</title>
<p>The immunity to <italic>Mtb</italic> infection in neonates is markedly distinct from that in adults. Innate and adaptive immune responses in infants cannot be inferred from adult human or animal models (<xref ref-type="bibr" rid="B125">125</xref>). Due to their high similarity to humans in terms of anatomy, genetics, and immune response, pigs are widely used in numerous studies (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>). The isolated and sterile state of the porcine fetus during pregnancy is conducive to the study of the interaction between the immature immune system and microorganisms and to determine the changes in the immune structure and function during fetus development (<xref ref-type="bibr" rid="B128">128</xref>). Surprisingly, pigs can undergo pathological changes to <italic>Mtb</italic> infection including caseous necrosis, liquefaction, and cavitation and mimic the immune response of vaccination BCG in humans (<xref ref-type="bibr" rid="B129">129</xref>). Mimicking the human neonatal immune system in pigs could improve our understanding of the infant immune response to TB. More neonatal and early-life animal models are needed to advance the development of anti-TB vaccines and drugs for neonates.</p>
</sec>
<sec id="s6_5">
<label>6.5</label>
<title>Other animal models</title>
<p>Other animal models, such as rabbits, rats, and zebrafish, have also been used in <italic>Mtb</italic> vaccine evaluation. Depending on the characteristics of each model, they have been used in different ways. Rabbits are usually infected with <italic>Mtb</italic> by aerosol route (<xref ref-type="bibr" rid="B130">130</xref>), and susceptibility to <italic>Mtb</italic> varies among different populations (<xref ref-type="bibr" rid="B131">131</xref>). Most rabbits available today are highly resistant to infection with <italic>Mtb</italic> (As Lurie&#x2019;s - susceptible breed have become extinct), but highly susceptible to infection with the closely related <italic>Mycobacterium bovis</italic>. They can form granulomas, liquefaction, and cavities similar to the events found in humans, making them suitable for the study of processes leading to transmission of <italic>Mtb</italic> as well as for vaccine and drug research. In addition, the rabbit model has been used in studies of cavitary, spinal, joint, cutaneous, and meningeal TB (<xref ref-type="bibr" rid="B132">132</xref>, <xref ref-type="bibr" rid="B133">133</xref>). However, due to the high cost, lack of immune reagents, and the inconvenience of genetic manipulation, the utility of the rabbit model is limited.</p>
<p>The types of rats commonly used in TB studies are American cotton rats, Wistar rats and diabetic rat strains. Several studies have found that rats exhibit delayed hypersensitivity to <italic>Mtb</italic> infection (<xref ref-type="bibr" rid="B134">134</xref>). <italic>Mtb</italic> infected rats can form well-organized granulomas, including epithelioid cells, multinucleated giant cells and foam macrophages, etc., which provide a common research object for the study of host control of <italic>Mtb</italic> and the establishment of latent infection (<xref ref-type="bibr" rid="B135">135</xref>). Rats are suitable for TB-related gene and protein research and have the advantages of low cost and simple blood collection, befitting vaccine and drug research (<xref ref-type="bibr" rid="B135">135</xref>). Yet, pathological changes in human lungs, such as caseous necrosis, fibrosis, calcification, and cavitation, are not formed in rats.</p>
<p>Recently, zebrafish have attracted increased attention as an animal model for TB. Zebrafish infected with <italic>M. marinum</italic> can form a typical granulomatous structure, which provides an excellent model for scientists to further study the mechanism of granulomatous formation (<xref ref-type="bibr" rid="B136">136</xref>, <xref ref-type="bibr" rid="B137">137</xref>). Moreover, zebrafish have the advantages of visual monitoring, convenient genetic manipulation, fast reproduction, and low cost, they are now widely used for bacterial virulence studies and large-scale vaccine and drug screening. The immune responses during granuloma formation and necrosis can be well monitored, making zebrafish one of the best choices for studying latent TB infection (<xref ref-type="bibr" rid="B138">138</xref>, <xref ref-type="bibr" rid="B139">139</xref>). Nevertheless, anatomical and physiological differences between zebrafish and humans impede the application of zebrafish models for vaccine development.</p>
</sec>
<sec id="s6_6">
<label>6.6</label>
<title>Ultra-low dose infection models</title>
<p>TB is characteristically caused by respiratory infection when the smallest aerosol droplets containing only 1 or 2 colonies reach the alveolar spaces (<xref ref-type="bibr" rid="B1">1</xref>). Hence, the high-dose challenge that has been typically used in animal models might have contributed to discrepant results between pre-clinical and clinical trials. To better simulate the natural human infection process, ultra-low dose infection models have been developed. Infection of conventional mice with 1-3 CFU <italic>Mtb</italic> produced granulomas with well-defined boundaries similar to human granulomas (<xref ref-type="bibr" rid="B140">140</xref>). In addition, the ultra-low dose aerosol-infected NHP model more closely mimicked the process of human natural TB infection. It is being used as a precise and sensitive system to assess the effectiveness of TB vaccines (<xref ref-type="bibr" rid="B113">113</xref>).</p>
</sec>
</sec>
<sec id="s7">
<label>7</label>
<title>Vaccination strategies of protein subunit vaccines</title>
<p>Vaccination strategies are critical to the effectiveness of protein subunit vaccines (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). <italic>Mtb</italic> metabolism is profoundly influenced by the different pathophysiological states in different stages of infection. Although current TB vaccines mainly consist of early secreted antigens of <italic>Mtb</italic> and are used for prevention of infection, they are less than ideal in controlling LTBI and active TB. Protein subunit vaccines currently in clinical trials have jumped out of this framework, with M72/AS01E prevents latent infected people exposed to <italic>Mtb</italic> from developing active pulmonary TB disease, and ID93+GLA-SE and H56:IC31 showing promise in the treatment of people with active TB infection. Even more promising is the fact that several multistage protein subunit vaccines comprised of <italic>Mtb</italic> antigens expressed in early growth, dormancy, and resuscitation phases for both prevention and treatment of TB infection have entered pre-clinical (CysVac2, LT70, and CMFO) and clinical trials (H56 and ID93) (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B71">71</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Vaccination strategies of protein subunit vaccines.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1238586-g002.tif"/>
</fig>
<p>Protein subunit vaccines are often used as booster vaccines after BCG priming, and when the antigen in the booster vaccine is shared with BCG, its boosting effect is impaired. BCG vaccination induces highly differentiated CD4<sup>+</sup> Th1 cells, and the functional plasticity of these cells is limited. Moreover, BCG-generated immunity impedes the subsequent induction of additional protective T cells with memory and lung homing potential by the booster vaccine (<xref ref-type="bibr" rid="B141">141</xref>). Therefore, the development of protein subunit vaccine candidates based on <italic>Mtb</italic>-specific antigens (such as H64, H74, and H107) may circumvent this dilemma (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>).</p>
<p>Preclinical and clinical trials have shown that some protein subunit vaccines (H56, LT70, CFMO) can elicit more robust protection than BCG when used alone, suggesting that such a vaccine could use as an alternative to BCG (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B68">68</xref>). However, BCG has definite efficacy against childhood TB and is almost universally given to infants as soon as they are born, so that replacement with an alternative vaccine presents ethical and practical challenges. Consequently, a protein subunit vaccine is more likely to use initially as a booster vaccine. Tests have shown that the protective effect of a BCG-booster vaccine is more pronounced when the immune response to BCG is attenuated (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B142">142</xref>). One explanation for this could be that reduced levels of BCG-induced immunity open the opportunity for protein subunit vaccines to initiate less differentiated T-cell responses. Therefore, it seems more reasonable to administer the protein subunit vaccine after the BCG-induced immunity has declined (<xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>The dose and time of boosting with a protein subunit vaccine are also pivotal factors affecting the effect. Multiple vaccinations are usually required to obtain a substantial immune memory with protein subunit vaccines. However, excessive enhancement induces the production of Tregs, leading to a subdued protective effect of the vaccine (<xref ref-type="bibr" rid="B143">143</xref>). Moreover, the interval between vaccinations may impact the type of immunological memory. The strategy with protein subunit vaccines is usually a 2- or 3-week booster regimen, which elicits more T<sub>EM</sub> cells. A booster regimen with longer intervals of 4 weeks appeared to favor the generation of long-term T<sub>CM</sub> cells (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>Finally, different vaccination routes exert a significant influence on efficacy. <italic>Mtb</italic> is transmitted through the respiratory tract, and the protective effect of specific B-cell and strong central memory CD4<sup>+</sup> and CD8<sup>+</sup> T-cell responses activated by respiratory mucosal vaccination against <italic>Mtb</italic> infection should be an important consideration (<xref ref-type="bibr" rid="B144">144</xref>, <xref ref-type="bibr" rid="B145">145</xref>). Zhang Y et&#xa0;al. found that Ag85A-Mtb32 in adenoviral vectored TB vaccine was more likely to induce systemic immune response through subcutaneous and muscular inoculation, while oral and nasal mucosal immune pathways induced stronger pulmonary immune response (<xref ref-type="bibr" rid="B105">105</xref>). Moreover, trained immunity was more strongly induced by submucosal BCG or MTBVAC vaccination than by standard intradermal vaccination (<xref ref-type="bibr" rid="B146">146</xref>). A variety of immunostimulatory adjuvants (e.g., bacterial toxins, TLR ligands, and cytokines) and nanoparticle adjuvants (e.g., virus-like particles, liposomes, and protoplasts) have been used in mucosal vaccines to enhance the immune responses (<xref ref-type="bibr" rid="B147">147</xref>).</p>
</sec>
<sec id="s8" sec-type="conclusion">
<label>8</label>
<title>Conclusion</title>
<p>Vaccines are powerful weapons for people to prevent and treatment many diseases. The sudden outbreak of the COVID-19 has pushed the development of vaccinology to a climax, and also provided valuable guidance for the development of TB vaccines. The BCG vaccine is undoubtedly one of the most potent weapons that humankind has acquired in the struggle against TB, but its limited protective effect is not sufficient to win the war. Based on the existing WHO-recommended immunization strategy for TB vaccines, protein subunit TB vaccines for specific populations (BCG-immunized, LTBI, and HIV-infected, etc.) have great potential for development and utilization. By far, multiple protein subunit TB vaccines have entered clinical or preclinical trials and have broken the barrier that BCG can only be used for pre-infection prevention. And even some vaccines have shown surprising protection in post-exposure prophylaxis in people with LTBI and in the treatment of people with active TB infection. Rapidly evolved bioinformatics and structural informatics technologies represent a large reservoir to filter out plentiful numbers of <italic>Mtb-</italic>protective antigens. Training immunity has been proposed in recent years and has received extensive attention in the field of TB. Trained immune cells are able to produce a rapid and effective protective response against <italic>Mtb</italic> attacks. Therefore, the activation of trained immunity should be considered in the development of vaccines and adjuvants. With the participation of various novel adjuvants, as well as the continuous optimization of animal models and vaccination strategies, effective protein subunit vaccines can be expected in the future to help achieve the grand goal of TB eradication.</p>
</sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>XF, and ZH contributed to the conception and revised of this manuscript. ZY and JX drafted and revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The work was supported by the grants from National Key Research and Development Program of China (2022YFC2302900, 2021YFC2301503), National Natural and Science Foundation of China (82171815, 82171739), Shanghai Hygiene and Health Outstanding Leader Project (2022XD060), Shanghai Science and Technology Commission (20Y11903400).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Dr. Douglas B. Lowrie for his critical comments and suggestions to improve the manuscript. </p>
</ack>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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