<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Koyuncu D</submitter><funding>HHS | National Institutes of Health</funding><funding>NCATS NIH HHS</funding><funding>American Lung Association Biomedical Research Grant</funding><funding>HHS | National Institutes of Health (NIH)</funding><funding>NIAID NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>NCI NIH HHS</funding><pagination>e0026323</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11238564</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>92(7)</volume><pubmed_abstract>Because most humans resist &lt;i>Mycobacterium tuberculosis&lt;/i> infection, there is a paucity of lung samples to study. To address this gap, we infected Diversity Outbred mice with &lt;i>M. tuberculosis&lt;/i> and studied the lungs of mice in different disease states. After a low-dose aerosol infection, progressors succumbed to acute, inflammatory lung disease within 60 days, while controllers maintained asymptomatic infection for at least 60 days, and then developed chronic pulmonary tuberculosis (TB) lasting months to more than 1 year. Here, we identified features of asymptomatic &lt;i>M. tuberculosis&lt;/i> infection by applying computational and statistical approaches to multimodal data sets. Cytokines and anti-&lt;i>M&lt;/i>. &lt;i>tuberculosis&lt;/i> cell wall antibodies discriminated progressors vs controller</pubmed_abstract><journal>Infection and immunity</journal><pubmed_title>B cells in perivascular and peribronchiolar granuloma-associated lymphoid tissue and B-cell signatures identify asymptomatic &lt;i>Mycobacterium tuberculosis&lt;/i> lung infection in Diversity Outbred mice.</pubmed_title><pmcid>PMC11238564</pmcid><funding_grant_id>P30 CA016058</funding_grant_id><funding_grant_id>R01 HL145411</funding_grant_id><funding_grant_id>NIH UL1-TR001430</funding_grant_id><funding_grant_id>R01 HL126066</funding_grant_id><funding_grant_id>UL1 TR001430</funding_grant_id><funding_grant_id>R21 AI115038</funding_grant_id><funding_grant_id>RG-349504</funding_grant_id><pubmed_authors>Koyuncu D</pubmed_authors><pubmed_authors>Yener B</pubmed_authors><pubmed_authors>Tavolara T</pubmed_authors><pubmed_authors>Ginese ML</pubmed_authors><pubmed_authors>Sajjad U</pubmed_authors><pubmed_authors>Kramnik I</pubmed_authors><pubmed_authors>Niazi MKK</pubmed_authors><pubmed_authors>Alsharaydeh A</pubmed_authors><pubmed_authors>Beamer G</pubmed_authors><pubmed_authors>Gurcan M</pubmed_authors><pubmed_authors>Gower AC</pubmed_authors><pubmed_authors>Gatti DM</pubmed_authors></additional><is_claimable>false</is_claimable><name>B cells in perivascular and peribronchiolar granuloma-associated lymphoid tissue and B-cell signatures identify asymptomatic &lt;i>Mycobacterium tuberculosis&lt;/i> lung infection in Diversity Outbred mice.</name><description>Because most humans resist &lt;i>Mycobacterium tuberculosis&lt;/i> infection, there is a paucity of lung samples to study. To address this gap, we infected Diversity Outbred mice with &lt;i>M. tuberculosis&lt;/i> and studied the lungs of mice in different disease states. After a low-dose aerosol infection, progressors succumbed to acute, inflammatory lung disease within 60 days, while controllers maintained asymptomatic infection for at least 60 days, and then developed chronic pulmonary tuberculosis (TB) lasting months to more than 1 year. Here, we identified features of asymptomatic &lt;i>M. tuberculosis&lt;/i> infection by applying computational and statistical approaches to multimodal data sets. Cytokines and anti-&lt;i>M&lt;/i>. &lt;i>tuberculosis&lt;/i> cell wall antibodies discriminated progressors vs controller</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2026-06-01T07:34:30.683Z</modification><creation>2025-04-07T12:04:50.376Z</creation></dates><accession>S-EPMC11238564</accession><cross_references><pubmed>38899881</pubmed><doi>10.1128/iai.00263-23</doi></cross_references></HashMap>