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Predictive signature of murine and human host response to typical and atypical pneumonia

BackgroundPneumonia due to typical bacterial, atypical bacterial and viral pathogens can be difficult to clinically differentiate. Host response-based diagnostics are emerging as a complementary diagnostic strategy to pathogen detection.MethodsWe used murine models of typical bacterial, atypical bac...

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Published in:BMJ open respiratory research 2024-08, Vol.11 (1), p.e002001
Main Authors: McCravy, Matthew, O’Grady, Nicholas, Khan, Kirin, Betancourt-Quiroz, Marisol, Zaas, Aimee K, Treece, Amy E, Yang, Zhonghui, Que, Loretta, Henao, Ricardo, Suchindran, Sunil, Ginsburg, Geoffrey S, Woods, Christopher W, McClain, Micah T, Tsalik, Ephraim L
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container_title BMJ open respiratory research
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creator McCravy, Matthew
O’Grady, Nicholas
Khan, Kirin
Betancourt-Quiroz, Marisol
Zaas, Aimee K
Treece, Amy E
Yang, Zhonghui
Que, Loretta
Henao, Ricardo
Suchindran, Sunil
Ginsburg, Geoffrey S
Woods, Christopher W
McClain, Micah T
Tsalik, Ephraim L
description BackgroundPneumonia due to typical bacterial, atypical bacterial and viral pathogens can be difficult to clinically differentiate. Host response-based diagnostics are emerging as a complementary diagnostic strategy to pathogen detection.MethodsWe used murine models of typical bacterial, atypical bacterial and viral pneumonia to develop diagnostic signatures and understand the host’s response to these types of infections. Mice were intranasally inoculated with Streptococcus pneumoniae, Mycoplasma pneumoniae, influenza or saline as a control. Peripheral blood gene expression analysis was performed at multiple time points. Differentially expressed genes were used to perform gene set enrichment analysis and generate diagnostic signatures. These murine-derived signatures were externally validated in silico using human gene expression data. The response to S. pneumoniae was the most rapid and robust.ResultsMice infected with M. pneumoniae had a delayed response more similar to influenza-infected animals. Diagnostic signatures for the three types of infection had 0.94–1.00 area under the receiver operator curve (auROC). Validation in five human gene expression datasets revealed auROC of 0.82–0.96.DiscussionThis study identified discrete host responses to typical bacterial, atypical bacterial and viral aetiologies of pneumonia in mice. These signatures validated well in humans, highlighting the conserved nature of the host response to these pathogen classes.
doi_str_mv 10.1136/bmjresp-2023-002001
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Host response-based diagnostics are emerging as a complementary diagnostic strategy to pathogen detection.MethodsWe used murine models of typical bacterial, atypical bacterial and viral pneumonia to develop diagnostic signatures and understand the host’s response to these types of infections. Mice were intranasally inoculated with Streptococcus pneumoniae, Mycoplasma pneumoniae, influenza or saline as a control. Peripheral blood gene expression analysis was performed at multiple time points. Differentially expressed genes were used to perform gene set enrichment analysis and generate diagnostic signatures. These murine-derived signatures were externally validated in silico using human gene expression data. The response to S. pneumoniae was the most rapid and robust.ResultsMice infected with M. pneumoniae had a delayed response more similar to influenza-infected animals. Diagnostic signatures for the three types of infection had 0.94–1.00 area under the receiver operator curve (auROC). Validation in five human gene expression datasets revealed auROC of 0.82–0.96.DiscussionThis study identified discrete host responses to typical bacterial, atypical bacterial and viral aetiologies of pneumonia in mice. These signatures validated well in humans, highlighting the conserved nature of the host response to these pathogen classes.</description><identifier>ISSN: 2052-4439</identifier><identifier>EISSN: 2052-4439</identifier><identifier>DOI: 10.1136/bmjresp-2023-002001</identifier><identifier>PMID: 39097412</identifier><language>eng</language><publisher>England: British Thoracic Society</publisher><subject>Animals ; Bacteria ; Bacterial Infection ; Bacterial infections ; Disease Models, Animal ; Female ; Females ; Gender ; Gene expression ; Gene Expression Profiling ; Host-Pathogen Interactions ; Humans ; Infectious diseases ; Influenza ; Laboratories ; Mice ; Mice, Inbred C57BL ; Mycoplasma pneumoniae - genetics ; Mycoplasma pneumoniae - isolation &amp; purification ; Original Research ; Orthomyxoviridae Infections - immunology ; Pathogens ; Pneumonia ; Pneumonia, Bacterial - diagnosis ; Pneumonia, Bacterial - microbiology ; Pneumonia, Mycoplasma - diagnosis ; Pneumonia, Pneumococcal - microbiology ; Pneumonia, Viral - diagnosis ; Pneumonia, Viral - immunology ; Respiratory Infection ; ROC Curve ; Sensitivity and Specificity ; Streptococcus infections ; Streptococcus pneumoniae - genetics ; Streptococcus pneumoniae - isolation &amp; purification ; Viral infection ; Viral infections</subject><ispartof>BMJ open respiratory research, 2024-08, Vol.11 (1), p.e002001</ispartof><rights>Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2024 Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. 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Published by BMJ. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-b420t-60baec386a890041017bdf2b125068e8065fe906a90e6323a870318c4d9119833</cites><orcidid>0000-0001-5313-211X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3100505264/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3100505264?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,55350,75126,77660,77686</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39097412$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McCravy, Matthew</creatorcontrib><creatorcontrib>O’Grady, Nicholas</creatorcontrib><creatorcontrib>Khan, Kirin</creatorcontrib><creatorcontrib>Betancourt-Quiroz, Marisol</creatorcontrib><creatorcontrib>Zaas, Aimee K</creatorcontrib><creatorcontrib>Treece, Amy E</creatorcontrib><creatorcontrib>Yang, Zhonghui</creatorcontrib><creatorcontrib>Que, Loretta</creatorcontrib><creatorcontrib>Henao, Ricardo</creatorcontrib><creatorcontrib>Suchindran, Sunil</creatorcontrib><creatorcontrib>Ginsburg, Geoffrey S</creatorcontrib><creatorcontrib>Woods, Christopher W</creatorcontrib><creatorcontrib>McClain, Micah T</creatorcontrib><creatorcontrib>Tsalik, Ephraim L</creatorcontrib><title>Predictive signature of murine and human host response to typical and atypical pneumonia</title><title>BMJ open respiratory research</title><addtitle>BMJ Open Resp Res</addtitle><addtitle>BMJ Open Respir Res</addtitle><addtitle>BMJ Open Respir Res</addtitle><description>BackgroundPneumonia due to typical bacterial, atypical bacterial and viral pathogens can be difficult to clinically differentiate. Host response-based diagnostics are emerging as a complementary diagnostic strategy to pathogen detection.MethodsWe used murine models of typical bacterial, atypical bacterial and viral pneumonia to develop diagnostic signatures and understand the host’s response to these types of infections. Mice were intranasally inoculated with Streptococcus pneumoniae, Mycoplasma pneumoniae, influenza or saline as a control. Peripheral blood gene expression analysis was performed at multiple time points. Differentially expressed genes were used to perform gene set enrichment analysis and generate diagnostic signatures. These murine-derived signatures were externally validated in silico using human gene expression data. The response to S. pneumoniae was the most rapid and robust.ResultsMice infected with M. pneumoniae had a delayed response more similar to influenza-infected animals. Diagnostic signatures for the three types of infection had 0.94–1.00 area under the receiver operator curve (auROC). Validation in five human gene expression datasets revealed auROC of 0.82–0.96.DiscussionThis study identified discrete host responses to typical bacterial, atypical bacterial and viral aetiologies of pneumonia in mice. 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O’Grady, Nicholas ; Khan, Kirin ; Betancourt-Quiroz, Marisol ; Zaas, Aimee K ; Treece, Amy E ; Yang, Zhonghui ; Que, Loretta ; Henao, Ricardo ; Suchindran, Sunil ; Ginsburg, Geoffrey S ; Woods, Christopher W ; McClain, Micah T ; Tsalik, Ephraim L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b420t-60baec386a890041017bdf2b125068e8065fe906a90e6323a870318c4d9119833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animals</topic><topic>Bacteria</topic><topic>Bacterial Infection</topic><topic>Bacterial infections</topic><topic>Disease Models, Animal</topic><topic>Female</topic><topic>Females</topic><topic>Gender</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Host-Pathogen Interactions</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Influenza</topic><topic>Laboratories</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Mycoplasma pneumoniae - genetics</topic><topic>Mycoplasma pneumoniae - isolation &amp; 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Host response-based diagnostics are emerging as a complementary diagnostic strategy to pathogen detection.MethodsWe used murine models of typical bacterial, atypical bacterial and viral pneumonia to develop diagnostic signatures and understand the host’s response to these types of infections. Mice were intranasally inoculated with Streptococcus pneumoniae, Mycoplasma pneumoniae, influenza or saline as a control. Peripheral blood gene expression analysis was performed at multiple time points. Differentially expressed genes were used to perform gene set enrichment analysis and generate diagnostic signatures. These murine-derived signatures were externally validated in silico using human gene expression data. The response to S. pneumoniae was the most rapid and robust.ResultsMice infected with M. pneumoniae had a delayed response more similar to influenza-infected animals. Diagnostic signatures for the three types of infection had 0.94–1.00 area under the receiver operator curve (auROC). Validation in five human gene expression datasets revealed auROC of 0.82–0.96.DiscussionThis study identified discrete host responses to typical bacterial, atypical bacterial and viral aetiologies of pneumonia in mice. These signatures validated well in humans, highlighting the conserved nature of the host response to these pathogen classes.</abstract><cop>England</cop><pub>British Thoracic Society</pub><pmid>39097412</pmid><doi>10.1136/bmjresp-2023-002001</doi><orcidid>https://orcid.org/0000-0001-5313-211X</orcidid><oa>free_for_read</oa></addata></record>
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source Publicly Available Content Database; BMJ Journals (Open Access); PubMed Central
subjects Animals
Bacteria
Bacterial Infection
Bacterial infections
Disease Models, Animal
Female
Females
Gender
Gene expression
Gene Expression Profiling
Host-Pathogen Interactions
Humans
Infectious diseases
Influenza
Laboratories
Mice
Mice, Inbred C57BL
Mycoplasma pneumoniae - genetics
Mycoplasma pneumoniae - isolation & purification
Original Research
Orthomyxoviridae Infections - immunology
Pathogens
Pneumonia
Pneumonia, Bacterial - diagnosis
Pneumonia, Bacterial - microbiology
Pneumonia, Mycoplasma - diagnosis
Pneumonia, Pneumococcal - microbiology
Pneumonia, Viral - diagnosis
Pneumonia, Viral - immunology
Respiratory Infection
ROC Curve
Sensitivity and Specificity
Streptococcus infections
Streptococcus pneumoniae - genetics
Streptococcus pneumoniae - isolation & purification
Viral infection
Viral infections
title Predictive signature of murine and human host response to typical and atypical pneumonia
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