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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2021.640987</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>
<italic>Quo vadis?</italic> Central Rules of Pathogen and Disease Tropism</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>McCall</surname>
<given-names>Laura-Isobel</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/483648"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Chemistry and Biochemistry, University of Oklahoma</institution>, <addr-line>Norman, OK</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Microbiology and Plant Biology, University of Oklahoma</institution>, <addr-line>Norman, OK</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Stephenson Cancer Center, University of Oklahoma</institution>, <addr-line>Oklahoma City, OK</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma</institution>, <addr-line>Norman, OK</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Martin Craig Taylor, University of London, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Michael John Blackman, Francis Crick Institute, United Kingdom; Celio Geraldo Freire-de-Lima, Federal University of Rio de Janeiro, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Laura-Isobel McCall, <email xlink:href="mailto:lmccall@ou.edu">lmccall@ou.edu</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Parasite and Host, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>02</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>640987</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>01</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 McCall</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>McCall</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>Understanding why certain people get sick and die while others recover or never become ill is a fundamental question in biomedical research. A key determinant of this process is pathogen and disease tropism: the locations that become infected (pathogen tropism), and the locations that become damaged (disease tropism). Identifying the factors that regulate tropism is essential to understand disease processes, but also to drive the development of new interventions. This review intersects research from across infectious diseases to define the central mediators of disease and pathogen tropism. This review also highlights methods of study, and translational implications. Overall, tropism is a central but under-appreciated aspect of infection pathogenesis which should be at the forefront when considering the development of new methods of intervention.</p>
</abstract>
<kwd-group>
<kwd>disease tropism</kwd>
<kwd>pathogen tropism</kwd>
<kwd>bacteria</kwd>
<kwd>viruses</kwd>
<kwd>fungi</kwd>
<kwd>parasites</kwd>
<kwd>treatment</kwd>
</kwd-group>
<contract-num rid="cn001">1R21AI148886, P20GM103648</contract-num>
<contract-sponsor id="cn001">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Pharmaceutical Research and Manufacturers of America Foundation<named-content content-type="fundref-id">10.13039/100001797</named-content>
</contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="172"/>
<page-count count="16"/>
<word-count count="8333"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>
<italic>Why</italic> disease and death occur are intrinsically tied to <italic>where</italic> they happen, referred to as tropism. Pathogen tropism describes the locations that can become infected by a given infectious agent (bacterial, viral, fungal or parasitic), while disease tropism is the location of the resulting damage, impairing healthy function. In this context, we will not consider host tropism (the host range that can be infected by a pathogen), focusing instead on human pathogens and animal models thereof (<xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>). Tropism can be defined from the smallest subcellular scale to the broadest geographic scales, and is influenced by pathogen factors, intrinsic host characteristics such as immune status or genetic background, and external factors such as climate. Tropism is a leading determinant of disease severity (<xref ref-type="bibr" rid="B13">Brierley et&#xa0;al., 2019</xref>). Understanding tropism has been a central aspect of research efforts on newly-emerging or re-emerging pathogens such as Zika virus (<xref ref-type="bibr" rid="B73">Ma et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B88">Miner et&#xa0;al., 2016</xref>) or SARS-CoV-2 (<xref ref-type="bibr" rid="B148">Trypsteen et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>), for example. For pathogens which have a longer history of human infectivity, studying tropism is not only leading to an improved understanding of pathogenesis mechanisms, but may also help guide the development of the next generation of rational therapeutics for infectious diseases.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Pathogens discussed.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="5" align="left">Viruses</th>
</tr>
<tr>
<th valign="top" align="left">Name</th>
<th valign="top" align="left">Disease</th>
<th valign="top" align="left">Disease tropism and pathognomonic symptoms</th>
<th valign="top" align="left">Dominant pathogen cellular tropism</th>
<th valign="top" align="left">Dominant pathogen tissue tropism</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Dengue virus</td>
<td valign="top" align="left">Dengue</td>
<td valign="top" align="left">Fever, vomiting and bleeding, rash, muscle, joint and bone pain</td>
<td valign="top" align="left">Macrophages, dendritic cells (<xref ref-type="bibr" rid="B7">Balsitis et&#xa0;al., 2009</xref>)</td>
<td valign="top" align="left">Lymph nodes and spleen; lung, central nervous system (cerebrum), liver (<xref ref-type="bibr" rid="B7">Balsitis et&#xa0;al., 2009</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Epstein&#x2013;Barr virus (EBV)</td>
<td valign="top" align="left">Infectious mononucleosis</td>
<td valign="top" align="left">Fever, sore throat, rash, hepatosplenomegaly</td>
<td valign="top" align="left">Epithelial cells, B cells (<xref ref-type="bibr" rid="B12">Borza and Hutt-Fletcher, 2002</xref>; <xref ref-type="bibr" rid="B133">Shannon-Lowe et&#xa0;al., 2006</xref>)</td>
<td valign="top" align="left">Oropharyngeal epithelium (<xref ref-type="bibr" rid="B133">Shannon-Lowe et&#xa0;al., 2006</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Human Cytomegalovirus (HCMV)</td>
<td valign="top" align="left">HCMV infection</td>
<td valign="top" align="left">Usually asymptomatic in immunocompetent individuals; congenital damage; various manifestations in immunocompromised adults</td>
<td valign="top" align="left">Broad tropism, including epithelial and endothelial cells, leukocytes, smooth muscle and hepatocytes (<xref ref-type="bibr" rid="B129">Scrivano et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B2">Almanan et&#xa0;al., 2017</xref>)</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B129">Scrivano et&#xa0;al., 2011</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis B virus (HBV)</td>
<td valign="top" align="left">Hepatitis</td>
<td valign="top" align="left">Liver damage, liver cirrhosis, liver cancer</td>
<td valign="top" align="left">Hepatocytes (<xref ref-type="bibr" rid="B143">Tang and McLachlan, 2001</xref>)</td>
<td valign="top" align="left">Liver (<xref ref-type="bibr" rid="B143">Tang and McLachlan, 2001</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis C virus (HCV)</td>
<td valign="top" align="left">Hepatitis</td>
<td valign="top" align="left">Chronic liver disease, liver cirrhosis, liver cancer</td>
<td valign="top" align="left">Hepatocytes (<xref ref-type="bibr" rid="B97">Neufeldt et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Liver (<xref ref-type="bibr" rid="B97">Neufeldt et&#xa0;al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Herpes simplex virus 1 (HSV-1)</td>
<td valign="top" align="left">Oral and genital herpes</td>
<td valign="top" align="left">Oral sores</td>
<td valign="top" align="left">Epithelial cells, neurons (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Mouth, genitals (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Herpes simplex virus 2 (HSV-2)</td>
<td valign="top" align="left">Genital herpes</td>
<td valign="top" align="left">Genital sores</td>
<td valign="top" align="left">Epithelial cells, neurons (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Genitals (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Human immunodeficiency virus 1 (HIV-1)</td>
<td valign="top" align="left">AIDS (Acquired immunodeficiency syndrome)</td>
<td valign="top" align="left">CD4<sup>+</sup> T cell depletion, opportunistic infections, opportunistic cancers, fever, sweats, wasting, diarrhea</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (<xref ref-type="bibr" rid="B118">Ribeiro et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Multiple locations (<xref ref-type="bibr" rid="B39">Feder et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B49">Guzzo et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Influenza virus</td>
<td valign="top" align="left">influenza (&#x201c;flu&#x201d;)</td>
<td valign="top" align="left">Fever, headache, fatigue, coughing, runny nose, joint and muscle pain</td>
<td valign="top" align="left">Airway epithelial cells (<xref ref-type="bibr" rid="B130">Scull et&#xa0;al., 2009</xref>)</td>
<td valign="top" align="left">Airways (<xref ref-type="bibr" rid="B130">Scull et&#xa0;al., 2009</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Marburg virus</td>
<td valign="top" align="left">Hemorrhagic fever</td>
<td valign="top" align="left">Fever, severe blood loss from multiple sites, inflammation of testicles</td>
<td valign="top" align="left">Phagocytic cells, Sertoli cells (<xref ref-type="bibr" rid="B26">Coffin et&#xa0;al., 2018</xref>)</td>
<td valign="top" align="left">Multiple locations, including spleen, lymph nodes, liver; persistence in testes (<xref ref-type="bibr" rid="B26">Coffin et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Middle East Respiratory Syndrome Coronavirus (MERS-CoV)</td>
<td valign="top" align="left">Middle East Respiratory Syndrome (MERS)</td>
<td valign="top" align="left">Fever, cough, difficulty breathing; sometimes diarrhea or vomiting; complications affecting lung and kidney</td>
<td valign="top" align="left">Lung epithelial cells (<xref ref-type="bibr" rid="B105">Park et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Lung (<xref ref-type="bibr" rid="B105">Park et&#xa0;al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">murine cytomegalovirus (MCMV)</td>
<td valign="top" align="left">Not a human pathogen</td>
<td valign="top" align="left">Animal model for <italic>Herpesviridae</italic> infection</td>
<td valign="top" align="left">Broad tropism, including epithelial and endothelial cells, leukocytes, smooth muscle and hepatocytes (<xref ref-type="bibr" rid="B129">Scrivano et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B2">Almanan et&#xa0;al., 2017</xref>)</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B2">Almanan et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Norovirus</td>
<td valign="top" align="left">Gastroenteritis</td>
<td valign="top" align="left">Gastrointestinal symptoms: nausea, vomiting, diarrhea</td>
<td valign="top" align="left">Intestinal epithelial cells (<xref ref-type="bibr" rid="B65">Lee et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B95">Murakami et&#xa0;al., 2020</xref>)</td>
<td valign="top" align="left">Highest in the distal small intestine (<xref ref-type="bibr" rid="B45">Grau et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Poliovirus</td>
<td valign="top" align="left">Poliomyelitis</td>
<td valign="top" align="left">Flu-like symptoms in mild infection; severe infection: brain and spinal cord symptoms, up to paralysis</td>
<td valign="top" align="left">Neurons (<xref ref-type="bibr" rid="B56">Ida-Hosonuma et&#xa0;al., 2005</xref>)</td>
<td valign="top" align="left">Spine, brain stem (<xref ref-type="bibr" rid="B56">Ida-Hosonuma et&#xa0;al., 2005</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Rhinovirus</td>
<td valign="top" align="left">Common cold</td>
<td valign="top" align="left">Nasal congestion, sneezing, cough, sore throat; malaise, fever</td>
<td valign="top" align="left">Airway epithelial cells, fibroblasts, dendritic cells (<xref ref-type="bibr" rid="B41">Foxman et&#xa0;al., 2015</xref>)</td>
<td valign="top" align="left">Nasal cavity; some lower airway infections possible (<xref ref-type="bibr" rid="B41">Foxman et&#xa0;al., 2015</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">SARS-CoV-2</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">Primarily respiratory (coughing, difficulty breathing); also gastrointestinal; fever; complications affecting multiple organs</td>
<td valign="top" align="left">Lung type II pneumocytes, nasal goblet secretory cells, ileal enterocytes (<xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>)</td>
<td valign="top" align="left">Airways (<xref ref-type="bibr" rid="B171">Zhu et&#xa0;al., 2020</xref>); extra-respiratory involvement also present (<xref ref-type="bibr" rid="B113">Puelles et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B161">Xiao et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Sindbis virus</td>
<td valign="top" align="left">Sindbis fever</td>
<td valign="top" align="left">Malaise, joint pain, rash</td>
<td valign="top" align="left">Epithelial cells, fibroblasts (<xref ref-type="bibr" rid="B152">Varble et&#xa0;al., 2013</xref>)</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B124">Ryman et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B152">Varble et&#xa0;al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Simian immunodeficiency virus (SIV)</td>
<td valign="top" align="left">Not a human pathogen</td>
<td valign="top" align="left">Model for HIV infection</td>
<td valign="top" align="left">CD4<sup>+</sup> T cells (<xref ref-type="bibr" rid="B136">Stieh et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B136">Stieh et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B39">Feder et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Varicella zoster virus</td>
<td valign="top" align="left">Varicella, Zoster</td>
<td valign="top" align="left">Skin lesions</td>
<td valign="top" align="left">T cells, neurons, fibroblasts (<xref ref-type="bibr" rid="B131">Sen et&#xa0;al., 2014</xref>)</td>
<td valign="top" align="left">Usually skin, nerves (<xref ref-type="bibr" rid="B131">Sen et&#xa0;al., 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">West Nile virus</td>
<td valign="top" align="left">West Nile fever</td>
<td valign="top" align="left">Usually asymptomatic; fever, fatigue, joint pain, rash, diarrhea, vomiting; central nervous system symptoms in severe cases</td>
<td valign="top" align="left">Neurons, phagocytic cells (<xref ref-type="bibr" rid="B140">Suthar et&#xa0;al., 2013</xref>)</td>
<td valign="top" align="left">Skin, spleen, central nervous system (<xref ref-type="bibr" rid="B140">Suthar et&#xa0;al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Zika virus</td>
<td valign="top" align="left">Zika virus disease</td>
<td valign="top" align="left">Often asymptomatic or mild non-specific (fever, muscle pain, rash&#x2026;); nerve damage (Guillain-Barr&#xe9; syndrome); microcephaly in congenital infection</td>
<td valign="top" align="left">Neurons, neural progenitors, astrocytes, microglia, Sertoli cells, epithelial cells (<xref ref-type="bibr" rid="B73">Ma et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B92">Muffat et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B141">Szaba et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B55">Hui et&#xa0;al., 2020</xref>)</td>
<td valign="top" align="left">Broad; includes brain, testes, eye, placenta (<xref ref-type="bibr" rid="B55">Hui et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Bacteria</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Name</bold>
</td>
<td valign="top" align="left">
<bold>Disease</bold>
</td>
<td valign="top" align="left">
<bold>Disease tropism and pathognomonic symptoms</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen cellular tropism</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen tissue tropism</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Borrelia burgdorferi</italic>
</td>
<td valign="top" align="left">Lyme disease</td>
<td valign="top" align="left">Fever, rash, fatigue; can progress to cardiac and central nervous system manifestations and joint pain</td>
<td valign="top" align="left">Primarily extracellular</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B132">Sertour et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Campylobacter jejuni</italic>
</td>
<td valign="top" align="left">Campylobacteriosis</td>
<td valign="top" align="left">Gastrointestinal symptoms: diarrhea</td>
<td valign="top" align="left">Epithelial cells (<xref ref-type="bibr" rid="B70">Luethy et&#xa0;al., 2017</xref>)</td>
<td valign="top" align="left">Cecum, large intestine (<xref ref-type="bibr" rid="B70">Luethy et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Chlamydia trachomatis</italic>
</td>
<td valign="top" align="left">Chlamydia</td>
<td valign="top" align="left">Genital discharge, pain</td>
<td valign="top" align="left">Epithelial cells (<xref ref-type="bibr" rid="B53">Howe et&#xa0;al., 2019</xref>)</td>
<td valign="top" align="left">Genital organs, lymph nodes, spleen, GI tract (<xref ref-type="bibr" rid="B53">Howe et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Citrobacter rodentium</italic>
</td>
<td valign="top" align="left">Not a human pathogen</td>
<td valign="top" align="left">Model for enteropathogenic <italic>Escherichia coli</italic> (EPEC) and enterohaemorrhagic <italic>E. coli</italic> (EHEC)</td>
<td valign="top" align="left">Extracellular</td>
<td valign="top" align="left">Large intestine (<xref ref-type="bibr" rid="B144">Thaiss et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Clostridioides difficile</italic>
</td>
<td valign="top" align="left">&#x201c;<italic>C. diff&#x201d;</italic> infection</td>
<td valign="top" align="left">Gastrointestinal symptoms: diarrhea, stomach pain, nausea; fever</td>
<td valign="top" align="left">Extracellular</td>
<td valign="top" align="left">Large intestine (<xref ref-type="bibr" rid="B18">Buffie et&#xa0;al., 2015</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Coxiella burnetii</italic>
</td>
<td valign="top" align="left">Q fever</td>
<td valign="top" align="left">Mainly non-specific: fever, aches, malaise, chest or stomach pain, diarrhea, vomiting, cough</td>
<td valign="top" align="left">Monocytes, macrophages, trophoblasts (<xref ref-type="bibr" rid="B9">Ben Amara et&#xa0;al., 2010</xref>)</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B9">Ben Amara et&#xa0;al., 2010</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Escherichia coli</italic>
</td>
<td valign="top" align="left">food poisoning, urinary tract infections, meningitis (strain-dependent)</td>
<td valign="top" align="left">Gastrointestinal symptoms: diarrhea, pain, vomiting. Urinary tract symptoms: painful and frequent urination. Meningitis: fever, headache</td>
<td valign="top" align="left">Extracellular or intracellular (epithelial cells) (<xref ref-type="bibr" rid="B27">Connolly et&#xa0;al., 2015</xref>)</td>
<td valign="top" align="left">Strain-dependent: large intestine, bladder, central nervous system (<xref ref-type="bibr" rid="B27">Connolly et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B116">Rajan et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B115">Rajan et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Listeria monocytogenes</italic>
</td>
<td valign="top" align="left">Listeriosis</td>
<td valign="top" align="left">Fever, diarrhea; in pregnancy: stillbirth, miscarriage, fetal infection; muscle pain, central nervous system manifestations; select localized infections</td>
<td valign="top" align="left">Epithelial cells (<xref ref-type="bibr" rid="B135">Stavru et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B32">Dowd et&#xa0;al., 2020</xref>)</td>
<td valign="top" align="left">Small intestine; liver, spleen, placenta, central nervous system (<xref ref-type="bibr" rid="B107">Pentecost et&#xa0;al., 2006</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Mycobacterium tuberculosis</italic>
</td>
<td valign="top" align="left">Tuberculosis</td>
<td valign="top" align="left">Usually respiratory (cough, chest pain); fatigue, weight loss, fever; can also be extrapulmonary</td>
<td valign="top" align="left">Macrophages (<xref ref-type="bibr" rid="B123">Russell et&#xa0;al., 2019</xref>)</td>
<td valign="top" align="left">Lung (<xref ref-type="bibr" rid="B123">Russell et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Neisseria gonorrhoeae</italic>
</td>
<td valign="top" align="left">Gonorrhea</td>
<td valign="top" align="left">Urogenital discharge; pain</td>
<td valign="top" align="left">Epithelial cells (<xref ref-type="bibr" rid="B121">Roth et&#xa0;al., 2013</xref>)</td>
<td valign="top" align="left">Urogenital tract; can disseminate (<xref ref-type="bibr" rid="B121">Roth et&#xa0;al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas aeruginosa</italic>
</td>
<td valign="top" align="left">
<italic>P. aeruginosa</italic> infection</td>
<td valign="top" align="left">Variable depending on localization (cough for respiratory <italic>P. aeruginosa</italic> infection, discharge for wound infections; fever)</td>
<td valign="top" align="left">Extracellular</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B6">Bachta et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Salmonella enterica</italic> serovar Typhimurium</td>
<td valign="top" align="left">Salmonellosis</td>
<td valign="top" align="left">Gastrointestinal symptoms: diarrhea, stomach pain, fever</td>
<td valign="top" align="left">Epithelial cells, macrophages (<xref ref-type="bibr" rid="B60">Knodler et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B63">Kurtz et&#xa0;al., 2020</xref>)</td>
<td valign="top" align="left">Intestines, gallbladder, liver (<xref ref-type="bibr" rid="B60">Knodler et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B63">Kurtz et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Shigella</italic>
</td>
<td valign="top" align="left">Shigellosis</td>
<td valign="top" align="left">Gastrointestinal symptoms: diarrhea, stomach pain, fever</td>
<td valign="top" align="left">Epithelial cells (<xref ref-type="bibr" rid="B33">Du et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Intestines (<xref ref-type="bibr" rid="B61">Koestler et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Streptococcus pneumoniae</italic>
</td>
<td valign="top" align="left">Pneumococcal disease</td>
<td valign="top" align="left">Usually respiratory: pain, cough, shortness of breath; central nervous system infections; bacteremia, otitis</td>
<td valign="top" align="left">Extracellular</td>
<td valign="top" align="left">Lung, bloodstream, central nervous system, ear (<xref ref-type="bibr" rid="B90">Minhas et&#xa0;al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Parasites</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Name</bold>
</td>
<td valign="top" align="left">
<bold>Disease</bold>
</td>
<td valign="top" align="left">
<bold>Disease tropism and pathognomonic symptoms</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen cellular tropism</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen tissue tropism</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Entamoeba histolytica</italic>
</td>
<td valign="top" align="left">Amoebiasis</td>
<td valign="top" align="left">Gastrointestinal symptoms: diarrhea, pain; invasion to the liver causing liver abscess can occur</td>
<td valign="top" align="left">Extracellular</td>
<td valign="top" align="left">Large intestine, liver (<xref ref-type="bibr" rid="B145">Thibeaux et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B134">Siqueira-Neto et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Leishmania major</italic>
</td>
<td valign="top" align="left">Cutaneous leishmaniasis</td>
<td valign="top" align="left">Skin lesions</td>
<td valign="top" align="left">Phagocytes (<xref ref-type="bibr" rid="B166">Zhang et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B109">Peters et&#xa0;al., 2008</xref>)</td>
<td valign="top" align="left">Skin (<xref ref-type="bibr" rid="B166">Zhang et&#xa0;al., 2003</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Leishmania donovani</italic>
</td>
<td valign="top" align="left">Visceral leishmaniasis</td>
<td valign="top" align="left">Fever, hepatosplenomegaly</td>
<td valign="top" align="left">Phagocytes (<xref ref-type="bibr" rid="B166">Zhang et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B109">Peters et&#xa0;al., 2008</xref>)</td>
<td valign="top" align="left">Liver, spleen, bone marrow (<xref ref-type="bibr" rid="B166">Zhang et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B84">McCall et&#xa0;al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Plasmodium falciparum</italic>
</td>
<td valign="top" align="left">Malaria</td>
<td valign="top" align="left">Fever, chills, anemia, cerebral symptoms</td>
<td valign="top" align="left">Red blood cells (<xref ref-type="bibr" rid="B103">Pal et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Circulation; sequestration in multiple locations, including brain, spleen, lung, placenta (<xref ref-type="bibr" rid="B15">Brugat et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B103">Pal et&#xa0;al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Plasmodium vivax</italic>
</td>
<td valign="top" align="left">Malaria</td>
<td valign="top" align="left">Fever, chills, anemia, cerebral symptoms</td>
<td valign="top" align="left">Red blood cells (<xref ref-type="bibr" rid="B15">Brugat et&#xa0;al., 2014</xref>)</td>
<td valign="top" align="left">Circulation; sequestration in multiple locations, including liver, lung, spleen (<xref ref-type="bibr" rid="B15">Brugat et&#xa0;al., 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Toxoplasma gondii</italic>
</td>
<td valign="top" align="left">Toxoplasmosis</td>
<td valign="top" align="left">Usually asymptomatic; congenital infections; ocular and central nervous system manifestations</td>
<td valign="top" align="left">Broad <italic>in vitro</italic>; some <italic>in vivo</italic> cell type preferences, including neurons (<xref ref-type="bibr" rid="B19">Cabral et&#xa0;al., 2016</xref>)</td>
<td valign="top" align="left">Broad (<xref ref-type="bibr" rid="B125">Saeij et&#xa0;al., 2005</xref>); persistence in eye, brain</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Trypanosoma brucei</italic>
</td>
<td valign="top" align="left">Sleeping sickness (African trypanosomiasis)</td>
<td valign="top" align="left">Central nervous system symptoms: behavioral and motor disturbances, coma; fever, malaise</td>
<td valign="top" align="left">Extracellular</td>
<td valign="top" align="left">Central nervous system (<xref ref-type="bibr" rid="B81">McCall and McKerrow, 2014</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Trypanosoma cruzi</italic>
</td>
<td valign="top" align="left">Chagas disease (American trypanosomiasis)</td>
<td valign="top" align="left">Cardiomyopathy, megacolon, megaesophagus</td>
<td valign="top" align="left">Broad <italic>in vitro (</italic>
<xref ref-type="bibr" rid="B42">Franco et&#xa0;al., 2019</xref>
<italic>);</italic> myocytes <italic>in vivo</italic> (<xref ref-type="bibr" rid="B28">Costa et&#xa0;al., 2018</xref>)</td>
<td valign="top" align="left">Persistence primarily in the GI tract; also heart, skin (<xref ref-type="bibr" rid="B67">Lewis et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B68">Lewis et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B158">Ward et&#xa0;al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Fungi</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Name</bold>
</td>
<td valign="top" align="left">
<bold>Disease</bold>
</td>
<td valign="top" align="left">
<bold>Disease tropism and pathognomonic symptoms</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen cellular tropism</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen tissue tropism</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Aspergillus fumigatus</italic>
</td>
<td valign="top" align="left">Aspergillosis</td>
<td valign="top" align="left">Respiratory: cough, shortness of breath, chest pain; fever; may spread systematically</td>
<td valign="top" align="left">Extracellular</td>
<td valign="top" align="left">Lung (<xref ref-type="bibr" rid="B54">Hsu et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
<bold>Prions</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Name</bold>
</td>
<td valign="top" align="left">
<bold>Disease</bold>
</td>
<td valign="top" align="left">
<bold>Disease tropism and pathognomonic symptoms</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen cellular tropism</bold>
</td>
<td valign="top" align="left">
<bold>Dominant pathogen tissue tropism</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Prions (PrP<sup>Sc</sup>)</td>
<td valign="top" align="left">Transmissible spongiform encephalopathy</td>
<td valign="top" align="left">Neurological: behavioral and motor abnormalities</td>
<td valign="top" align="left">Neurons</td>
<td valign="top" align="left">Central nervous system, lymphoid tissue (<xref ref-type="bibr" rid="B11">B&#xe9;ringue et&#xa0;al., 2020</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2">
<title>The Spatial Granularity of Tropism</title>
<p>Pathogen tropism within a mammalian host is often an intrinsic characteristic of a given pathogen strain or species, influenced by host characteristics (<italic>e.g.</italic> immune status) (<xref ref-type="bibr" rid="B84">McCall et&#xa0;al., 2013</xref>). However, some pathogens are pleiotropic, with variable preferential localizations depending on disease stage: for example. <italic>Trypanosoma cruzi</italic> strain CL Brener is found in all tested visceral organs during acute BALB/c mouse infection. During chronic infection, parasite load is consistently high only in the stomach and colon (<xref ref-type="bibr" rid="B67">Lewis et&#xa0;al., 2014</xref>), with the cecum the only site where parasite burden increases during the transition from acute to chronic disease (<xref ref-type="bibr" rid="B52">Hossain et&#xa0;al., 2020</xref>). Beyond large-scale tropism to select organs and tissues, pathogens also show finer cellular and subcellular tropism.</p>
<sec id="s2_1">
<title>Subcellular Tropism</title>
<p>Intracellular pathogens colonize specific subcellular niches. Some niches may only be transient sites of colonization during pathogen uptake, while others are occupied for most of the pathogen lifecycle. Some pathogens also replicate at multiple subcellular locations. For example, <italic>Salmonella enterica</italic> serovar Typhimurium localize and replicate mainly in the <italic>Salmonella</italic>-containing vacuole. However, a subpopulation of <italic>Salmonella</italic> proliferate in the cytoplasm (<xref ref-type="bibr" rid="B60">Knodler et&#xa0;al., 2010</xref>). Viral subcellular tropism enables access to host enzymes essential for productive viral infection and host lipids and proteins to shield the viral particle from the immune system. For example, hepatitis C replicates on viral-induced cytoplasmic structures called the membranous web, which shields the virus from host pattern-recognition receptors (<xref ref-type="bibr" rid="B97">Neufeldt et&#xa0;al., 2016</xref>). <italic>Leishmania</italic> parasites and <italic>Coxiella burnetii</italic> bacteria multiply in the phagolysosome, a low-pH environment that requires specific metabolic adaptations for successful colonization (<xref ref-type="bibr" rid="B127">Saunders et&#xa0;al., 2014</xref>). In contrast, <italic>T. cruzi</italic> parasites and several bacteria (<italic>e.g. Listeria monocytogenes</italic>) proliferate in the cell&#x2019;s cytoplasm where nutrients are abundant (<xref ref-type="bibr" rid="B60">Knodler et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B66">Lentini et&#xa0;al., 2018</xref>). This localization may also facilitate intercellular pathogen transfer (<xref ref-type="bibr" rid="B60">Knodler et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B32">Dowd et&#xa0;al., 2020</xref>).</p>
<p>Infection can also result in damage at specific subcellular sites. For example, <italic>T. cruzi</italic> causes mitochondrial swelling in chronic Chagas disease (<xref ref-type="bibr" rid="B43">Garg et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B48">Gupta et&#xa0;al., 2009</xref>). Mitochondrial damage is also observed in Herpes Simplex Virus-1 (HSV-1)-infected myenteric neurons (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>) and during <italic>L. monocytogenes</italic> epithelial cell infection (<xref ref-type="bibr" rid="B135">Stavru et&#xa0;al., 2011</xref>), suggesting that this is a common alteration that may be caused by the metabolic stress of infection, pathogen mechanisms to avoid host cell apoptosis, or avoidance of other host defense mechanisms (<xref ref-type="bibr" rid="B135">Stavru et&#xa0;al., 2011</xref>). Examples of other sites of subcellular structural alterations include the endoplasmic reticulum, Golgi and nucleus during dengue virus infection (<xref ref-type="bibr" rid="B160">Win et&#xa0;al., 2019</xref>). Subcellular sites of disease tropism may be sites of direct contact with host structures, as in <italic>T. cruzi</italic> infection, in which cytoplasmic parasites interact with the mitochondria <italic>via</italic> parasite flagella (<xref ref-type="bibr" rid="B66">Lentini et&#xa0;al., 2018</xref>). In contrast, HSV-1 was distal to damaged mitochondria (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>).</p>
</sec>
<sec id="s2_2">
<title>Cellular Tropism</title>
<p>Intracellular pathogens preferentially colonize specific cell types. For viruses, this is first driven by the availability of entry receptors, associated processing factors, and fusion mediators, in the appropriate structural conformation (<xref ref-type="bibr" rid="B157">Wang and Shenk, 2005</xref>; <xref ref-type="bibr" rid="B105">Park et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B100">Orchard et&#xa0;al., 2018</xref>) for initial viral entry, or cell-to-cell interactions between infected and uninfected cells leading to viral spread (<xref ref-type="bibr" rid="B133">Shannon-Lowe et&#xa0;al., 2006</xref>). Subsequently, cellular tropism is determined by the ability of the infected cell to degrade internalized viruses and/or prevent their proliferation. For example, the poliovirus receptor is expressed on multiple tissues that are not sites of viral replication; viral tropism restriction is due to pre-existing expression of interferon-stimulated genes (ISGs) (<xref ref-type="bibr" rid="B56">Ida-Hosonuma et&#xa0;al., 2005</xref>). Similar processes are observed for influenza virus infection across different lung cell types (<xref ref-type="bibr" rid="B38">Fay et&#xa0;al., 2020</xref>). Depending on the receptor used for Human Immunodeficiency virus-1 (HIV-1) internalization, host TRIM5&#x3b1; either restricts the virus <italic>via</italic> autophagic targeting (Langerhans cells) or does not (subepithelial DC-SIGN<sup>+</sup> dendritic cells) (<xref ref-type="bibr" rid="B118">Ribeiro et&#xa0;al., 2016</xref>). Last, the availability of the necessary resources to enable viral proliferation also regulates viral tropism. Metabolism controls the building blocks necessary to viral replication (<xref ref-type="bibr" rid="B120">Rodr&#xed;guez-S&#xe1;nchez et&#xa0;al., 2019</xref>), but recent results have also demonstrated that the availability of metabolites such as ceramide can also regulate virus entry receptor conformation and viral uptake (<xref ref-type="bibr" rid="B100">Orchard et&#xa0;al., 2018</xref>).</p>
<p>Apicomplexan parasites actively invade the host cells (<xref ref-type="bibr" rid="B47">Gu&#xe9;rin et&#xa0;al., 2017</xref>). In contrast, many other intracellular bacterial and eukaryotic pathogens induce their own uptake by the host. For example, <italic>Leishmania</italic> parasites rely on phagocytosis for entry and are thus primarily tropic to neutrophils and then macrophages (<xref ref-type="bibr" rid="B109">Peters et&#xa0;al., 2008</xref>). Such host cells may be actively recruited to the sites of initial pathogen colonization by the mechanisms of transmission, for example <italic>via</italic> bioactive proteins and metabolites found in vector saliva or even egested vector gut bacteria (<xref ref-type="bibr" rid="B109">Peters et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B31">Dey et&#xa0;al., 2018</xref>). Lack of uptake can also determine pathogen tropism: disseminative <italic>Neisseria gonorrhoeae</italic> strains are unable to bind neutrophil receptor CEACAM3, enabling them to avoid immune killing and to disseminate beyond mucosal sites (<xref ref-type="bibr" rid="B121">Roth et&#xa0;al., 2013</xref>).</p>
<p>Cellular-level disease tropism can reflect direct damage by the pathogen, for example due to cell rupture by lytic viruses, or to disrupted cellular physiology. However, cellular-level pathogen tropism and disease tropism are not necessarily identical. For example, Zika virus infects multiple cell types, including microglia-like cells, astrocytes and neural progenitor cells, but only caused significant death of the latter cell type (<xref ref-type="bibr" rid="B92">Muffat et&#xa0;al., 2018</xref>). Disease tropism may also be due to collateral damage from pathogen invasion or pathogen-mediated effects on adjacent cells. For example, in the absence of myeloperoxidase, superoxide production in <italic>Salmonella</italic>-infected neutrophils damages the surrounding cells (<xref ref-type="bibr" rid="B128">Sch&#xfc;rmann et&#xa0;al., 2017</xref>). Co-culture of neurons with <italic>T. cruzi</italic> and IFN&#x3b3;-activated macrophages led to neuronal death, which was abrogated by inhibitors of nitric oxide production (<xref ref-type="bibr" rid="B3">Almeida-Leite et&#xa0;al., 2007</xref>). Zika virus increases lipid droplet levels not only in infected cells but also in adjacent uninfected cells (<xref ref-type="bibr" rid="B24">Chen et&#xa0;al., 2020</xref>). Many pathogens also lead to immune cell exhaustion. Thus, <italic>Mycobacterium tuberculosis</italic> leads to CD8<sup>+</sup> T cell exhaustion, even though it does not directly infect these cells (<xref ref-type="bibr" rid="B123">Russell et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s2_3">
<title>Tissue and Organ Tropism</title>
<p>Organ and tissue tropism are relevant to both intracellular and extracellular pathogens. Some pathogens may show uniform burden throughout a given organ [<italic>e.g. Pseudomonas aeruginosa</italic> in the gallbladder (<xref ref-type="bibr" rid="B6">Bachta et&#xa0;al., 2020</xref>)], while others may show preferential tropism to select organ regions [<italic>e.g.</italic> higher <italic>T. cruzi</italic> load at the heart base in strain CL Brener infection of C3H/HeJ mice (<xref ref-type="bibr" rid="B83">McCall et&#xa0;al., 2017</xref>); higher norovirus load in the distal small intestine in wild-type C57BL/6 mice (<xref ref-type="bibr" rid="B45">Grau et&#xa0;al., 2020</xref>)]. In the case of intracellular pathogens, cellular tropism will strongly influence tissue tropism, for example if cells expressing the necessary receptor are more common in a given organ or tissue. In the case of SARS-CoV-2, viral tropism to the respiratory and gastrointestinal tract has been linked to co-expression of the ACE2 receptor and TMPRSS2 protease in these tissues (<xref ref-type="bibr" rid="B139">Sungnak et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>). Tropism to olfactory epithelium may be potentiated by its expression of neuropilin-1, which enables entry of SARS-CoV-2 with furin-cleaved spike protein (<xref ref-type="bibr" rid="B20">Cantuti-Castelvetri et&#xa0;al., 2020</xref>). Such determinants of tissue tropism should thus be apparent in cell culture models, where the pathogen can only infect cells from the target organ. For example, respiratory enterovirus strains are restricted to the lung <italic>in vivo</italic> and show much more restrictive <italic>in vitro</italic> tropism than disseminative enteric enterovirus strains (<xref ref-type="bibr" rid="B122">Royston et&#xa0;al., 2018</xref>). In contrast, many other intracellular pathogens are promiscuous in cell culture [<italic>e.g. T. cruzi</italic> (<xref ref-type="bibr" rid="B42">Franco et&#xa0;al., 2019</xref>) or <italic>Toxoplasma gondii</italic> (<xref ref-type="bibr" rid="B19">Cabral et&#xa0;al., 2016</xref>)]. <italic>T. cruzi</italic> shows initial broad tropism <italic>in vivo</italic> during acute infection, followed by more restricted pathogen and disease tropism in chronic disease stages [mainly heart, stomach and colon, with some exceptions (<xref ref-type="bibr" rid="B67">Lewis et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B68">Lewis et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B52">Hossain et&#xa0;al., 2020</xref>)]. In the case of <italic>T. gondii</italic>, broad spatial distribution can be observed following infection with a virulent bioluminescent strain, including localization to the intestines, lung, liver, brain, heart, and kidney (<xref ref-type="bibr" rid="B125">Saeij et&#xa0;al., 2005</xref>). However, fine study of infected cell types in the brain indicates that parasites preferentially infect neurons over astrocytes <italic>in vivo</italic>, and this preference is only partially abrogated by immunosuppression (<xref ref-type="bibr" rid="B19">Cabral et&#xa0;al., 2016</xref>)</p>
<p>Sites of initial pathogen entry, infection of highly migratory cells such as macrophages, or pathogen motility, will also determine whether a pathogen remains restricted to its initial site of invasion or can disseminate to other organs (see below). Pathogen and disease tropism are thus also influenced by circulatory patterns, leading for example to the accumulation of <italic>Leishmania donovani-</italic>infected macrophages (<xref ref-type="bibr" rid="B84">McCall et&#xa0;al., 2013</xref>) and <italic>Plasmodium-</italic>infected red blood cells (<xref ref-type="bibr" rid="B15">Brugat et&#xa0;al., 2014</xref>) in the spleen. Direct binding to microbiota bacteria may also facilitate viral invasion (<xref ref-type="bibr" rid="B37">Erickson et&#xa0;al., 2018</xref>).</p>
<p>Host metabolism and thus nutrient and immunomodulatory metabolite availability also differ strongly between organs (<xref ref-type="bibr" rid="B114">Quinn et&#xa0;al., 2020</xref>). For example, levels of purines, aspartate and histidine are lower in the skin than the liver (<xref ref-type="bibr" rid="B94">Murakami et&#xa0;al., 2014</xref>). Variable nutrient availability restricts the tropism of pathogens with strict nutritional requirements. Dermotropic <italic>Leishmania</italic> have higher transporter expression, which may enable them to address skin-associated nutrient limitations, in contrast to viscerotropic <italic>Leishmania</italic> (<xref ref-type="bibr" rid="B85">McCall et&#xa0;al., 2015</xref>). <italic>Streptococcus pneumoniae</italic> adaptations to ear vs. circulatory environments has been tied to enhanced ability of blood <italic>S. pneumoniae</italic> strains to utilize raffinose as a carbon source (<xref ref-type="bibr" rid="B90">Minhas et&#xa0;al., 2019</xref>). Ear-tropic and lung-tropic <italic>S. pneumoniae</italic> strains also express different nutrient transporters (<xref ref-type="bibr" rid="B89">Minhas et&#xa0;al., 2020</xref>). Nutrient competition is a key mechanism by which the microbiota restricts pathogen colonization (<xref ref-type="bibr" rid="B64">Lam and Monack, 2014</xref>; <xref ref-type="bibr" rid="B16">Brugiroux et&#xa0;al., 2016</xref>). Depletion of such commensals enhances the risk of colonization by pathogens such as <italic>Clostridioides difficile</italic> (<xref ref-type="bibr" rid="B18">Buffie et&#xa0;al., 2015</xref>). The balance between microbiota-derived butyrate and acetate also shapes colonization-associated gene expression in <italic>Campylobacter jejuni</italic> and may explain its preferential tropism for the colon over the small intestine (<xref ref-type="bibr" rid="B70">Luethy et&#xa0;al., 2017</xref>). Metabolites also regulate immune responses, influencing pathogen organ tropism. For example, the intersection between secondary bile acid production by the microbiota and host bile acid receptor FXR levels regulate cellular production of IFN-&#x3bb; and consequently norovirus tropism in the intestines (<xref ref-type="bibr" rid="B45">Grau et&#xa0;al., 2020</xref>). Bile acids also regulate norovirus endocytosis and virus release from endosomes (<xref ref-type="bibr" rid="B95">Murakami et&#xa0;al., 2020</xref>).</p>
<p>Immune responses strongly regulate pathogen tropism, as evidenced by the many cases of atypical disease presentations in immunocompromised individuals: central nervous system rather than cardiac involvement in AIDS-Chagas disease patients (<xref ref-type="bibr" rid="B111">Pinazo et&#xa0;al., 2013</xref>), invasive fungal dermatophyte infections in primary immunodeficiency patients (<xref ref-type="bibr" rid="B110">Pilmis et&#xa0;al., 2016</xref>), or broad Human Cytomegalovirus (HCMV) tropism in systemic lupus erythematosus (SLE) patients receiving immunosuppressive therapy (<xref ref-type="bibr" rid="B4">Arai et&#xa0;al., 2012</xref>). In experimental models, immunosuppression abolishes the select chronic-stage tropism of pathogens such as <italic>T. cruzi (</italic>
<xref ref-type="bibr" rid="B68">Lewis et&#xa0;al., 2016</xref>
<italic>).</italic> Some organs are less accessible to cells of the adaptive immune response; such immune privilege may explain <italic>Trypanosoma brucei</italic> (<xref ref-type="bibr" rid="B81">McCall and McKerrow, 2014</xref>) or <italic>T. gondii</italic> (<xref ref-type="bibr" rid="B125">Saeij et&#xa0;al., 2005</xref>) brain tropism. However, beyond the well-characterized case of immune privilege, immune responses can also differ between organs that are freely accessible to immune cells. For example, CD4<sup>+</sup> T cells in the liver adopt an IL-10-producing phenotype during <italic>Salmonella</italic> Typhimurium infection, leading to M2 macrophage polarization and long-term bacterial persistence in the liver; in contrast, CD4<sup>+</sup> T cells in the spleen produce high IFN&#x3b3; and low IL-10, leading to bacterial clearance (<xref ref-type="bibr" rid="B63">Kurtz et&#xa0;al., 2020</xref>). Immune restriction of pathogen tropism is not limited to adaptive responses: for example, West Nile virus is restricted from the liver due to rapid induction of type I interferons (<xref ref-type="bibr" rid="B140">Suthar et&#xa0;al., 2013</xref>).</p>
<p>As with pathogen tropism, disease tropism may also occur throughout a given organ, or be restricted to select organ regions. For example, <italic>T. cruzi</italic> leads to pathognomonic apical cardiac aneurysms, even though cardiac and cardiac apex parasite load are low (<xref ref-type="bibr" rid="B76">Marin-Neto et&#xa0;al., 2007</xref>). Genital HSV-2 infection leads to gastrointestinal and urinary manifestations (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>). Strikingly, in the case of HSV-1 experimental infection, while viral colonization was observed in the dorsal root ganglia and large intestine, tissue damage was strongest in the latter, driven by excessive neutrophil recruitment and destruction of intestinal ganglia (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>). Disease tropism to select organs and tissues is influenced by preferential sites of pathogen tropism, the ability of different organs to function even in the presence of pathogens (tolerance) and repair ability after pathogen clearance (see below).</p>
</sec>
<sec id="s2_4">
<title>Tropism Goes Global</title>
<p>Subcellular, cellular, tissue and organ tropism are most relevant to an individual&#x2019;s experience of disease. However, pathogens and disease do not show equal distribution across the globe. Thus, geography strongly influences disease tropism, from a continental scale to differential disease incidence between neighborhoods within a given city.</p>
<p>On a broad geographic scale, external factors such as climate influence vector and vector-borne disease distribution [e.g. (<xref ref-type="bibr" rid="B69">Li et&#xa0;al., 2019</xref>)]. Likewise, changes in reservoir animal host tropism and reservoir behavior will influence the risk of human exposure (<xref ref-type="bibr" rid="B169">Zhang et&#xa0;al., 2018</xref>). Population movements shape global disease tropism, by introducing infected individuals in new locations (<xref ref-type="bibr" rid="B1">Alawieh et&#xa0;al., 2014</xref>). Large-scale population movements are often tied to political instability, which in turn influences the availability of disease control measures and population health (<xref ref-type="bibr" rid="B34">Du et&#xa0;al., 2018</xref>). Such factors may also play out on a smaller scale, within a city or even a building (<xref ref-type="bibr" rid="B25">Chng et&#xa0;al., 2020</xref>).</p>
<p>The microbiota is strongly influenced by these extrinsic factors: urbanization, loss of traditional foods and living practices, and exposure to processed food, consumer chemicals and antimicrobials (<xref ref-type="bibr" rid="B126">Sankaranarayanan et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B151">Vangay et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B82">McCall et&#xa0;al., 2020</xref>). In turn, microbiota composition affects susceptibility to infectious diseases [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B18">Buffie et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B155">Villarino et&#xa0;al., 2016</xref>)]. Thus, the global variation in microbiota composition may be responsible for some of the observed global variations in infectious disease prevalence. In addition to this &#x201c;second genome&#x201d; (<xref ref-type="bibr" rid="B46">Grice and Segre, 2012</xref>), variations in genetic background between populations may also lead to variable pathogen and disease tropism between geographic regions, although this is challenging to deconvolute from healthcare and service access, behavioral patterns, vector and reservoir tropism. Well-characterized genetic factors that influence tropism in the context of malaria and show differential prevalence between geographic regions include Duffy receptor presence/absence vs. susceptibility to <italic>P. vivax</italic> malaria (<xref ref-type="bibr" rid="B150">Twohig et&#xa0;al., 2019</xref>).</p>
<p>Overall, pathogens and infectious diseases show preferential tropism at multiple levels, from the microscopic to the planetary scale. In the following sections, we will examine in more detail the specific factors that influence tropism.</p>
</sec>
</sec>
<sec id="s3">
<title>The Ordered Steps of Pathogen Tropism</title>
<sec id="s3_1">
<title>The Starting Line: Route of Infection</title>
<p>In the case of pathogens newly-introduced into a mammalian body, initial tropism will be determined by the route of administration: vector-borne transmission will lead to pathogen deposition in the skin and/or vasculature, while food-borne parasites will initially colonize the gastrointestinal tract, and so on. The initial method of entry can also shape final tropism, with transmission by the tick vector leading to broader tissue tropism for several <italic>Borrelia burgdorferi sensu lato</italic> complex strains than needle injection (<xref ref-type="bibr" rid="B132">Sertour et&#xa0;al., 2018</xref>). In the case of pathobionts, members of the microbiota that can be pathogenic under certain circumstances, initial tropism will depend on which regional microbiota they came from, and the factors that led to them becoming pathogenic, such as disruption of local mucosal surfaces leading to invasion [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B5">Ayres et&#xa0;al., 2012</xref>)].</p>
</sec>
<sec id="s3_2">
<title>Entering a Propitious Environment</title>
<p>Having entered the mammalian body, the ability of the pathogen to remain will be influenced by the availability of appropriate niches at the entry site. An intracellular pathogen that does not encounter the necessary invasion receptors at the site of colonization and is unable to disseminate will lead to an abortive infection. pH, temperature and nutritional requirements also determine whether the invading pathogen can establish itself. For example, MERS is resistant to fed-state simulated gastric fluid and partially resistant to fed-state simulated intestinal fluid; however, fasted-state simulated gastric fluid kills the virus. Thus, timing of viral exposure vs. meals may influence the success of oral MERS infection (<xref ref-type="bibr" rid="B170">Zhou et&#xa0;al., 2017</xref>). Attachment is also relevant to extracellular pathogens; for example, enteroaggregative <italic>E. coli</italic> showed differential patterns of adhesion on enteroids from each intestinal segment (<xref ref-type="bibr" rid="B116">Rajan et&#xa0;al., 2018</xref>). Temperature effects may be direct, due to differential pathogen proliferation at temperatures associated with visceral organs vs. skin or mucosal surfaces (<xref ref-type="bibr" rid="B79">McCall and Matlashewski, 2010</xref>; <xref ref-type="bibr" rid="B80">McCall and Matlashewski, 2012</xref>), or indirect <italic>via</italic> effects on the host. For example, airway epithelial cells produce more interferon at 37&#xb0;C than 33&#xb0;C, thus restricting rhinovirus to the cooler upper airways (<xref ref-type="bibr" rid="B41">Foxman et&#xa0;al., 2015</xref>).</p>
<p>Host- or microbiota-derived metabolites can either promote pathogen persistence (production of a key nutrient) or inhibit it (lack of a key nutrient; production of toxic host metabolites). As an example of the former mechanism, gastrointestinal <italic>Salmonella</italic> retain genes that enable utilization of alternative carbon sources, compared to extraintestinal <italic>Salmonella</italic> which are not able to access these resources. Extraintestinal strains also show loss of functions associated with anaerobic metabolism (<xref ref-type="bibr" rid="B99">Nuccio and B&#xe4;umler, 2014</xref>). For the latter mechanism, high levels of D-serine in the bladder prevent enterohemorrhagic <italic>E. coli</italic> (EHEC) bladder colonization by reducing type 3 secretion system virulence factor expression, host cell attachment and pedestal formation (<xref ref-type="bibr" rid="B27">Connolly et&#xa0;al., 2015</xref>). The microbiota can also directly interfere with or promote invasion by the pathogen. For example, successful influenza A virus transmission is inhibited by nasal carriage of <italic>Streptococcus pneumoniae</italic>, which cleaves host nasal sialic acid, the receptor for influenza (<xref ref-type="bibr" rid="B101">Ortigoza et&#xa0;al., 2018</xref>).</p>
<p>Lastly, colonization will also be determined by whether a pathogen can withstand or co-opt the initial immune responses. For example, <italic>Leishmania</italic> parasites infect neutrophils recruited to the initial site of the sandfly vector bite (<xref ref-type="bibr" rid="B109">Peters et&#xa0;al., 2008</xref>). In contrast, presence of influenza-specific resident memory T cells in the upper respiratory tract protected against nasal colonization and viral dissemination to the lung (<xref ref-type="bibr" rid="B112">Pizzolla et&#xa0;al., 2017</xref>).</p>
<p>Host regulation of pathogen tropism can even apply to prions (PrP<sup>Sc</sup>): PrP<sup>Sc</sup> strain differential tropism is related to the expression levels of endogenous healthy PrP<sup>C</sup> proteins (<xref ref-type="bibr" rid="B11">B&#xe9;ringue et&#xa0;al., 2020</xref>). Initial steps of pathogen tropism can already be active processes. For example, pathogen proteins will subvert host cell functions to determine subcellular localization. Indeed, the <italic>Shigella</italic> type III secretion system translocon is sufficient to induce cytoplasmic localization when expressed ectopically in <italic>Escherichia coli</italic> (<xref ref-type="bibr" rid="B33">Du et&#xa0;al., 2016</xref>).</p>
</sec>
<sec id="s3_3">
<title>Leaving the Initial Site of Colonization</title>
<p>After setting up a &#x201c;beachhead&#x201d; at the site of initial invasion, pathogens will stay at that site or disseminate. Local persistence vs. dissemination is determined by the site of initial colonization, obstacles encountered during dissemination, and whether other locations are suitable for pathogen persistence and proliferation. Indeed, simian immunodeficiency virus (SIV) disseminates from the female genital tract into the bloodstream only when local viral loads exceed a certain threshold (<xref ref-type="bibr" rid="B39">Feder et&#xa0;al., 2017</xref>). Depending on whether fibroblasts or endothelial cells are infected with HCMV, released viral progeny is either tropic to both cell types, or restricted to fibroblasts (<xref ref-type="bibr" rid="B129">Scrivano et&#xa0;al., 2011</xref>). A similar process is observed in EBV infection, where viral progeny from B cells is better at infecting epithelial cells than B cells, and vice versa (<xref ref-type="bibr" rid="B12">Borza and Hutt-Fletcher, 2002</xref>). The quality and strength of local immune also determines whether systemic dissemination can occur. For example, stimulating innate immune responses in the skin prevented arboviral dissemination (<xref ref-type="bibr" rid="B17">Bryden et&#xa0;al., 2020</xref>). Conversely, immune responses can promote dissemination: for example, varicella zoster virus infection of tonsillar T cells promoted trafficking to tissues (<xref ref-type="bibr" rid="B131">Sen et&#xa0;al., 2014</xref>).</p>
<p>The ability to leave the site of colonization is also linked to pathogen abilities to actively penetrate tissues, for example <italic>via</italic> induction of parasite and host proteases in <italic>Entamoeba histolytica</italic> infection, enabling invasion out of the gastrointestinal tract (<xref ref-type="bibr" rid="B145">Thibeaux et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B134">Siqueira-Neto et&#xa0;al., 2018</xref>). Zika virus also co-opts host proteases to cross the blood-testis barrier (<xref ref-type="bibr" rid="B55">Hui et&#xa0;al., 2020</xref>). <italic>S. aureus</italic> may invade bones <italic>via</italic> forces generated by cell division (<xref ref-type="bibr" rid="B78">Masters et&#xa0;al., 2020</xref>). Inflammasome induction by <italic>Plasmodium falciparum</italic> histidine-rich protein II leads to loss of blood-brain barrier integrity (<xref ref-type="bibr" rid="B103">Pal et&#xa0;al., 2016</xref>) and influenza H5N1 infection of endothelial cells promotes vascular leakage and dissemination to extrapulmonary sites (<xref ref-type="bibr" rid="B149">Tundup et&#xa0;al., 2017</xref>). Invasiveness does not have to be constitutive: for example, <italic>Shigella</italic> turn on type 3 secretion system (T3SS) needle production in anaerobic environments such as the gut lumen; approaching mucosal tissues leads to induction of effector secretion (<xref ref-type="bibr" rid="B77">Marteyn et&#xa0;al., 2010</xref>).</p>
<p>Such active penetration may not be necessary if the host presents with pre-existing damage. For example, loosened intestinal barrier in hyperglycemic mice increased ability of <italic>Citrobacter rodentium</italic> to colonize spleen and liver (<xref ref-type="bibr" rid="B144">Thaiss et&#xa0;al., 2018</xref>). Similarly, immune-mediated disruptions to lung blood vessels during lung transplant led to increased iron availability that promoted <italic>Aspergillus fumigatus</italic> invasiveness (<xref ref-type="bibr" rid="B54">Hsu et&#xa0;al., 2018</xref>). Dissemination and invasiveness is also facilitated by pathogen motility [<italic>e.g.</italic> bacterial flagella (<xref ref-type="bibr" rid="B29">Cullender et&#xa0;al., 2013</xref>)], access to the lymphatic system [<italic>e.g.</italic> group A Streptococci, mediated by capsule hyaluronan interaction with lymphatic vessel endothelial receptor 1 (<xref ref-type="bibr" rid="B71">Lynskey et&#xa0;al., 2015</xref>)], infection of mobile host cells [<italic>e.g. Chlamydia trachomatis</italic> infection of dendritic cells (<xref ref-type="bibr" rid="B53">Howe et&#xa0;al., 2019</xref>)] or by taking advantage of cell-cell connections [<italic>e.g.</italic> HSV-1 dissemination from initial sites of vaginal colonization to the dorsal root ganglia, then spine, and then colon enteric nervous system <italic>via</italic> peripheral nociceptors (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>)].</p>
<p>One caveat is that it is often challenging to differentiate between a pathogen that remains at local sites of initial invasion without disseminating to other tissues, and a pathogen that does disseminate but is unable to establish itself anywhere but at the initial site. As an example, we observed high <italic>T. cruzi</italic> load at the heart base during acute experimental <italic>T. cruzi</italic> infection (<xref ref-type="bibr" rid="B83">McCall et&#xa0;al., 2017</xref>); is this due to a lack of parasite dissemination beyond this cardiac region, or to rapid parasite killing at the heart apex? The observation of higher antiparasitic IFN&#x3b3; at the heart apex argues for the latter scenario (<xref ref-type="bibr" rid="B83">McCall et&#xa0;al., 2017</xref>). Conversely, phagocytic cells infected with <italic>L. major</italic> parasites are less likely to migrate out of the site of intradermal infections than <italic>L. donovani-</italic>infected cells, indicating that the dermotropism of <italic>L. major</italic> is due to the first scenario (<xref ref-type="bibr" rid="B166">Zhang et&#xa0;al., 2003</xref>). Many immune mechanisms are designed to capture and kill pathogens during the dissemination process. As an example, liver Kupffer cells phagocytose circulating pathogens (<xref ref-type="bibr" rid="B87">McDonald et&#xa0;al., 2020</xref>) and circulating antibodies neutralize key pathogen surface molecules or target them for degradation (<xref ref-type="bibr" rid="B36">Engstler et&#xa0;al., 2007</xref>). These mechanisms can be subverted by pathogens adapted to live in macrophages such as <italic>Leishmania (</italic>
<xref ref-type="bibr" rid="B8">Beattie et&#xa0;al., 2013</xref>
<italic>)</italic>, by loss of long-range interactions between gut microbiota and immune function during dysbiosis (<xref ref-type="bibr" rid="B87">McDonald et&#xa0;al., 2020</xref>), or by pathogen surface antigenic variation (<xref ref-type="bibr" rid="B36">Engstler et&#xa0;al., 2007</xref>).</p>
<p>High temporal and spatial resolution series of luminescent animal models may conclusively resolve this issue (see below). Importantly, disease resolution or lack of apparent disease at any time at the site of initial pathogen invasion does not mean lack of low-level pathogen persistence. For example, <italic>T. cruzi</italic> persist at low levels in the skin in mammalian models, facilitating pathogen transmission, in the absence of visible skin lesions (<xref ref-type="bibr" rid="B158">Ward et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s3_4">
<title>Colonizing and Persisting at New Sites</title>
<p>Colonizing additional sites is influenced by many of the same factors that influence initial colonization: nutrient and host cell availability (<xref ref-type="bibr" rid="B85">McCall et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B114">Quinn et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B139">Sungnak et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>), competition (<xref ref-type="bibr" rid="B64">Lam and Monack,&#xa0;2014</xref>), thermal and stress tolerance (<xref ref-type="bibr" rid="B130">Scull et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B79">McCall and Matlashewski, 2010</xref>; <xref ref-type="bibr" rid="B80">McCall and Matlashewski, 2012</xref>), surviving immune responses, for example through colonization of immune privileged organs (see above, as for <italic>T. gondii</italic> or <italic>T. brucei</italic>) (<xref ref-type="bibr" rid="B125">Saeij et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B81">McCall and McKerrow, 2014</xref>) or co-opting defense pathways [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B74">Mandal et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B53">Howe et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>)]. For the multiple pathogens that initially show broad tissue tropism followed by more restrictive tropism [<italic>e.g. T. cruzi, T. gondii</italic> (<xref ref-type="bibr" rid="B125">Saeij et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B67">Lewis et&#xa0;al., 2014</xref>)], basal nutrient availability may be less&#xa0;restrictive; in contrast, tissue metabolic remodeling or induction&#xa0;of immunomodulatory metabolites may be more important. For example, we observed infection-induced increases of the metabolite kynurenine mainly in the large intestine and to a lesser extent in the stomach following <italic>T.&#xa0;cruzi</italic> infection. Kynurenine induces regulatory T cells and&#xa0;may thus contribute to parasite persistence in the colon (<xref ref-type="bibr" rid="B52">Hossain et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s3_5">
<title>Determinants of Disease Tropism</title>
<p>Disease tolerance is the ability to withstand the deleterious effects of infection (<xref ref-type="bibr" rid="B86">McCarville and Ayres, 2018</xref>). Resilience is the ability to return to health following the clearance of a pathogenic insult (<xref ref-type="bibr" rid="B147">Torres et&#xa0;al., 2016</xref>). While this has been predominantly studied at the level of the whole organism, our findings of localized metabolic perturbations and localized metabolic restoration by pharmacological interventions with constant parasite burden argue for spatial disease tolerance (<xref ref-type="bibr" rid="B52">Hossain et&#xa0;al., 2020</xref>). Thus, we find that the heart apex appears to be less tolerant to acute <italic>T. cruzi</italic> infection than the heart base (<xref ref-type="bibr" rid="B83">McCall et&#xa0;al., 2017</xref>), while select intestinal regions have a higher capacity to return to normal metabolism in the chronic stage of experimental infection (<xref ref-type="bibr" rid="B52">Hossain et&#xa0;al., 2020</xref>).</p>
<p>Some of these characteristics are intrinsic to a tissue, for example with regards to responses to initial infection (<xref ref-type="bibr" rid="B115">Rajan et&#xa0;al., 2020</xref>), or ability to regenerate; thus, some locations are more prone to persistent infectious disease damage than others. Cardiac damage, for example, is challenging to reverse, even after the pathogen is cleared [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B91">Morillo et&#xa0;al., 2015</xref>)]. However, the location of damage (disease tropism) is naturally also influenced by pathogen localization and its intersection with organ, tissue and cellular characteristics. For example, lung infection with SARS-CoV-2 leads to lung lesions and respiratory impairment, related to the high viral receptor expression in lung pneumocytes (<xref ref-type="bibr" rid="B40">Finch et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>). These lesions are highly localized; however, virus can also be detected in the kidney, liver, heart, and periodically in the brain (<xref ref-type="bibr" rid="B113">Puelles et&#xa0;al., 2020</xref>). SARS-CoV-2 infection is associated with elevated interferon production, but only in the lower respiratory airways; IFN&#x3bb; impairs the lung barrier and may thus promote increased disease severity and superinfection <italic>via</italic> those sites (<xref ref-type="bibr" rid="B14">Broggi et&#xa0;al., 2020</xref>). This differential interferon production may be related to the temperature sensitivity of the interferon response reported in rhinovirus infection (<xref ref-type="bibr" rid="B41">Foxman et&#xa0;al., 2015</xref>). Neurological symptoms of COVID-19 have been particularly mysterious. Recent work demonstrating SARS-CoV-2 tropism to choroid plexus cells and causing breakdown of the blood-central nervous system barrier integrity (<xref ref-type="bibr" rid="B106">Pellegrini et&#xa0;al., 2020</xref>), illustrates how pathogen tropism informs the study of disease tropism.</p>
<p>The ability of a pathogen to cause collateral damage to uninfected cells, tissues and organs will also determine disease tropism. This damage may be due to mediators produced by the pathogen [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B145">Thibeaux et&#xa0;al., 2014</xref>)], the activation of non-specific immune responses leading to damage of adjacent cells [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B3">Almeida-Leite et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B128">Sch&#xfc;rmann et&#xa0;al., 2017</xref>)], or compensatory mechanisms in response to direct tissue damage. An example of the latter mechanism would be hypertrophy of surviving cardiomyocytes in chronic <italic>T. cruzi</italic> infection, as part of an effort to maintain heart function (<xref ref-type="bibr" rid="B43">Garg et&#xa0;al., 2003</xref>). Although collateral damage is assumed to neighbor pathogen localization, this may not always be true. For example, in an immunocompetent mouse model of Zika virus infection, fetal abnormalities were observed even in animals where no placental or embryonic viral RNA were detected, caused by type I interferon-mediated placental damage (<xref ref-type="bibr" rid="B141">Szaba et&#xa0;al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Methods to Study Tropism</title>
<p>Locating pathogens can be performed in animal models by visual observation or microscopy [e.g. (<xref ref-type="bibr" rid="B109">Peters et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B88">Miner et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B136">Stieh et&#xa0;al., 2016</xref>)], bioluminescence [e.g. (<xref ref-type="bibr" rid="B67">Lewis et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B68">Lewis et&#xa0;al., 2016</xref>)], flow cytometry/FACS [e.g. (<xref ref-type="bibr" rid="B65">Lee et&#xa0;al., 2017</xref>)], PCR [e.g. (<xref ref-type="bibr" rid="B136">Stieh et&#xa0;al., 2016</xref>)] or single-genome sequencing [e.g. (<xref ref-type="bibr" rid="B39">Feder et&#xa0;al., 2017</xref>)]. Timecourse analyses are essential to determine the sequence of colonization events that determine tropism. Fluorochrome switching or photoconversion track the history of a given pathogen, by monitoring which locations were traversed (<xref ref-type="bibr" rid="B93">M&#xfc;ller et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B142">Tan et&#xa0;al., 2016</xref>). Such techniques must differentiate true tissue-tropic pathogens from pathogens that are at high levels in the circulation, including the organ microvasculature, for example by perfusion prior to organ imaging (<xref ref-type="bibr" rid="B67">Lewis et&#xa0;al., 2014</xref>).</p>
<p>Animal models may not always fully reflect human disease and pathogen tropism, but facilitate systematic tissue access, invasive and timecourse sampling, with fewer behavioral confounders. Humanized mouse models offer an attractive, albeit still expensive, alternative (<xref ref-type="bibr" rid="B156">Wahl et&#xa0;al., 2019</xref>). In humans, pathogen location can be determined non-invasively using multiple clinical specimens to broadly define tropism (<xref ref-type="bibr" rid="B119">Rodrigues-Dos-Santos et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B104">Parasa et&#xa0;al., 2020</xref>). Complementary methods include endoscopy and medical imaging (<xref ref-type="bibr" rid="B159">Werneck-Silva and Prado, 2009</xref>; <xref ref-type="bibr" rid="B44">Godet et&#xa0;al., 2016</xref>). Lastly, autopsies can determine pathogen tropism in humans, in fatal infections (<xref ref-type="bibr" rid="B7">Balsitis et&#xa0;al., 2009</xref>). Disease tropism can likewise be established by visual assessment of microscopic and macroscopic damage [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B35">Edler et&#xa0;al., 2020</xref>)], or expression levels of a specific damage marker [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B153">Varga et&#xa0;al., 2020</xref>)].</p>
<p>However, none of these approaches tell us <italic>why</italic> pathogen or disease tropism occurs at those select sites. To identify determinants of tropism, additional approaches are required. Transcriptomic analyses can identify viral receptors, for example by comparing transcripts encoding membrane-associated proteins between cells susceptible and resistant to viruses (<xref ref-type="bibr" rid="B58">Karakus et&#xa0;al., 2019</xref>). Single-cell sequencing can determine the specific cellular subsets that express the key viral receptors and the factors regulating their abundance, as was recently performed to identify target cells of SARS-CoV-2 (<xref ref-type="bibr" rid="B172">Ziegler et&#xa0;al., 2020</xref>). CRISPR and RNAi systematic screens <italic>in vitro</italic> identify key receptors for pathogen entry [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B58">Karakus et&#xa0;al., 2019</xref>)] and metabolic pathways essential for intracellular pathogen proliferation [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B21">Caradonna et&#xa0;al., 2013</xref>)]. Infection with a pool of RNAi and miRNA viruses defined host factors that restrict Sindbis and influenza A virus infection <italic>in vivo</italic>, in the spleen and lung, respectively (<xref ref-type="bibr" rid="B152">Varble et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B10">Benitez et&#xa0;al., 2015</xref>). Retrieving virus from multiple tissues would expand this method to study factors driving differential tissue tropism. Characterizing pathogen and host gene expression can also determine sites of less-productive pathogen proliferation and host pathways associated with tissue damage, as was performed in HSV-1 infection (<xref ref-type="bibr" rid="B59">Khoury-Hanold et&#xa0;al., 2016</xref>). Metabolic models for different cell types or different organs (<xref ref-type="bibr" rid="B98">Noronha et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B146">Thiele et&#xa0;al., 2020</xref>) can identify which sites are candidates for pathogen proliferation, complemented by comparative metabolomic analyses of multiple organs and tissue regions (<xref ref-type="bibr" rid="B83">McCall et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B52">Hossain et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B114">Quinn et&#xa0;al., 2020</xref>). We recently demonstrated that sites of highest metabolic perturbation in the gastrointestinal tract and the heart following experimental <italic>T. cruzi</italic> infection match known macroscopic sites of <italic>T. cruzi-</italic>induced damage in patients, providing a novel way to determine disease tropism (<xref ref-type="bibr" rid="B30">Dean et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B52">Hossain et&#xa0;al., 2020</xref>).</p>
<p>Identifying additional host and pathogen genetic factors that drive tropism can be performed by experimental infections in various host-pathogen strain combinations [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B68">Lewis et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B90">Minhas et&#xa0;al., 2019</xref>)]. Genomic, transcriptomic and proteomic comparison of related pathogen strains can provide insight into the factors controlling tropism, for example in the context of <italic>Leishmania</italic> parasites (<xref ref-type="bibr" rid="B165">Zhang and Matlashewski, 2010</xref>; <xref ref-type="bibr" rid="B168">Zhang et&#xa0;al., 2014</xref>). <italic>In vivo</italic> selection promoting switch from one site of tropism to another can be particularly helpful in this context, because parental and selected strain are closely related genetically (<xref ref-type="bibr" rid="B85">McCall et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B72">Lypaczewski et&#xa0;al., 2018</xref>). Genetically modified pathogen strains are essential in this context. One clever example of genetic manipulation introduced cell-type-specific microRNA target sites into the influenza H5N1 genome, thus generating viral strains unable to infect specific cell types <italic>in vivo</italic> and demonstrating a requirement for endothelial cell infection in vascular leakage, inflammation, and viral dissemination to extrapulmonary sites (<xref ref-type="bibr" rid="B149">Tundup et&#xa0;al., 2017</xref>).</p>
<p>Validating candidate determinants of tropism is essential, <italic>via</italic> knockout/knockdowns [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B164">Zhang and Matlashewski, 1997</xref>)], antibody-based blocking or depletion [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B49">Guzzo et&#xa0;al., 2017</xref>)], ectopic expression of tropism-associated proteins in resistant cell types [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B167">Zhang et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B168">Zhang et&#xa0;al., 2014</xref>)], or pharmacological modulation [<italic>e.g.</italic> (<xref ref-type="bibr" rid="B144">Thaiss et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B53">Howe et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B17">Bryden et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B45">Grau et&#xa0;al., 2020</xref>)]. Mendelian randomization may show utility in select cases to validate host determinants in humans (<xref ref-type="bibr" rid="B117">Reilly et&#xa0;al., 2018</xref>), but may only be sufficiently powered for very prevalent pathogens.</p>
</sec>
<sec id="s5">
<title>Translational Implications</title>
<p>Beyond fundamental knowledge into pathogenic processes, understanding tropism can determine modes of transmission and thus intervention. For example, detecting Zika virus in the genital tract provides a mechanism to support sexual transmission of the virus and interventions to prevent this transmission route (<xref ref-type="bibr" rid="B73">Ma et&#xa0;al., 2016</xref>). Understanding tropism in COVID-19 could determine methods to prevent transmission, for example by demonstrating whether fecal transmission should be a concern (<xref ref-type="bibr" rid="B161">Xiao et&#xa0;al., 2020</xref>), but also patient staging and monitoring priorities (<xref ref-type="bibr" rid="B75">Mao et&#xa0;al., 2020</xref>), explain atypical disease presentations (<xref ref-type="bibr" rid="B153">Varga et&#xa0;al., 2020</xref>), and develop new treatment approaches. Infectious disease drug discovery focuses predominantly on decreasing or eliminating pathogen load. However, newer anti-virulence treatment strategies, for example type III secretion system inhibitors (<xref ref-type="bibr" rid="B154">Veenendaal et&#xa0;al., 2009</xref>), may impact tropism given the role of type III secretion in <italic>Shigella</italic> tropism [see above, (<xref ref-type="bibr" rid="B33">Du et&#xa0;al., 2016</xref>)], and thus lead to new tropism-modulating therapeutics.</p>
<p>However, tropism should also be a consideration even for antimicrobials that do not directly aim to affect it. Indeed, certain sites may be less accessible to administered therapeutics, leading to treatment failure and increased risk of antimicrobial resistance. Such failures may be an intrinsic property of a drug being unevenly distributed to different organs, with poorer distribution to the major sites of pathogen tropism. For example, AmBisome, while effective against <italic>L. donovani</italic>, was ineffective at curing <italic>T. cruzi</italic> infections. AmBisome accumulates in the liver, spleen and lungs; liver and spleen are major sites of <italic>L. donovani</italic> tropism but not of <italic>T. cruzi</italic> (<xref ref-type="bibr" rid="B138">Sundar et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B23">Cencig et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B84">McCall et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B67">Lewis et&#xa0;al., 2014</xref>). The tissue environment, including nutrient or oxygen availability, will influence pathogen metabolism, and antimicrobial agent efficacy is often reliant on pathogen metabolic activity (<xref ref-type="bibr" rid="B137">Stokes et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B62">Kowalski et&#xa0;al., 2020</xref>). Likewise, changes in the metabolic environment induced by antimicrobial treatment will affect host immune responses and pathogen clearance (<xref ref-type="bibr" rid="B162">Yang et&#xa0;al., 2017</xref>), mechanisms that are particularly important in the context of &#x201c;static&#x201d; rather than &#x201c;cidal&#x201d; treatments. Pathogen strains may also differ between tissue locations. In this context, the risk of selection of HIV tropic for CXCR4 co-receptor-expressing rather than CCR5-expressing cells was a major concern in the development of CCR5 antagonists (<xref ref-type="bibr" rid="B22">Cascajero et&#xa0;al., 2018</xref>). In parallel, cofactor or virulence-associated protein expression, whether host or pathogen-derived, may differ between cell types and tissue locations. As an example, hydroxychloroquine failure in SARS-CoV-2 clinical trials in comparison to early <italic>in vitro</italic> successes may be attributed to initial studies using Vero cells for compound activity testing. Vero cells are not major natural sites of SARS-CoV-2 tropism; unlike lung cells, viral entry into Vero cells relies on endosomal cathepsin L rather than TMPRSS2 (<xref ref-type="bibr" rid="B51">Hoffmann et&#xa0;al., 2020</xref>). Considerations of cellular tropism are thus essential when designing an appropriate <italic>in vitro</italic> drug development or high-throughput screening assay.</p>
<p>Distinguishing between spatial treatment failure due to unequal drug penetration and treatment failure due to pathogen resistance or tolerance to drug effects necessitates a combination of approaches, including improving spatial and temporal resolution of classical pharmacokinetic/pharmacodynamic (PK/PD) studies, spatial characterization of pathogen gene expression in response to treatment and pathogen isolation followed by <italic>in vitro</italic> antimicrobial susceptibility testing. Indeed, timing of treatment prior to Marburg virus testes colonization prevented viral persistence (<xref ref-type="bibr" rid="B26">Coffin et&#xa0;al., 2018</xref>). Although cecal and cervical azithromycin levels were comparable, <italic>C. trachomatis</italic> were less readily cleared from the cecum (<xref ref-type="bibr" rid="B163">Yeruva et&#xa0;al., 2013</xref>). Importantly, although PK/PD studies are usually performed in healthy animals, there is a need to expand these studies to the context of infection, where select disease tropism may alter drug distribution and clearance (<xref ref-type="bibr" rid="B50">Hoffman et&#xa0;al., 2020</xref>). Tropism considerations may thus be a major reason for the failure <italic>in vivo</italic> of new chemical entities that were promising <italic>in vitro.</italic>
</p>
<p>Immunomodulators are being considered to mitigate infection-induced damage, for example in COVID-19 (<xref ref-type="bibr" rid="B57">Ingraham et&#xa0;al., 2020</xref>). However, local and peripheral immune responses may differ significantly; for example, different patterns of interferon expression were observed in peripheral blood mononuclear cells vs. lung cells in bronchoalveolar lavage fluid of COVID-19 patients (<xref ref-type="bibr" rid="B102">Overholt et&#xa0;al., 2020</xref>), and in upper vs. lower airways (<xref ref-type="bibr" rid="B14">Broggi et&#xa0;al., 2020</xref>). Regulatory T cell depletion also had opposite effects on murine cytomegalovirus (MCMV) reactivation in the spleen and salivary gland (<xref ref-type="bibr" rid="B2">Almanan et&#xa0;al., 2017</xref>). These observations highlight the need to understand tropism before developing immunomodulatory interventions. Likewise, vaccine research most often relies on assessment of peripheral immune responses; these examples of differences between localized and systemic immune responses highlight the need for increased characterization of tissue-specific immune responses in studies of vaccine mechanism of protection.</p>
<p>Lastly, tropism is also relevant to diagnostic test development: methods that rely on biofluid monitoring may not detect pathogens with specific tissue tropism. Indeed, this is one of the causes of the high rates of false negatives in PCR-based diagnosis of chronic Chagas disease (<xref ref-type="bibr" rid="B96">Murcia et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B108">P&#xe9;rez-Ayala et&#xa0;al., 2011</xref>). Likewise, disease-staging and prognostic approaches that only rely on circulating biomarkers without considering the damage occurring at sites of pathogen tropism may be less successful than methods that consider damage pathways, and then search for those specific markers in accessible biofluids (<xref ref-type="bibr" rid="B83">McCall et&#xa0;al., 2017</xref>). Thus, considerations of pathogen and disease tropism should be at the heart of translational infectious disease research.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<title>Conclusions and Unresolved Questions</title>
<p>Overall, a tropism perspective on pathogenesis can help understand why disease happens and how to intervene. However, comprehensive studies on tropism are often lacking; most focus on a few subcellular locations, cell types, tissues, or organs. Characterization of tropism within an organ, rather than just between organs is also necessary. Successful integration of multiple layers of information, from histology to &#x2018;omics and pharmacological validation will enrich research in tropism. Given the key role of small molecules as microbial building blocks, regulators of pathogen entry, and immunomodulators, metabolomics should be prominently used in such studies. Tropism in the context of co-infection and co-morbidities has rarely been investigated. Lastly, considerations of the translational aspects of pathogen and disease tropism are still under-explored; however, this will be extremely valuable to guide drug and biomarker development.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>The&#xa0;author&#xa0;confirms being the sole contributor of this work and has approved it for publication.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>Research on tropism and translational applications in the McCall laboratory at the University of Oklahoma is or was supported by NIH award number 1R21AI148886, PhRMA foundation award number 45188 and a pilot grant from the Oklahoma Center for Respiratory and Infectious Diseases, funded by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number P20GM103648.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The author declares 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>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The author wishes to thank the authors of the cited publications, and to apologize for the many exciting findings on tropism that could not be mentioned due to space limitations.</p>
</ack>
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