Daniel Fisch, Robert Evans, Barbara Clough, Sophie K. Byrne, Will M. Channell, Jacob Dockterman, Eva-Maria Frickel
To study the dynamics of infection processes, it is common to manually enumerate imaging-based infection assays. However, manual counting of events from imaging data is biased, error-prone and a laborious task. We recently presented HRMAn (Host Response to Microbe Analysis), an automated image analysis program using state-of-the-art machine learning and artificial intelligence algorithms to analyse pathogen growth and host defence behaviour. With HRMAn, we can quantify intracellular infection by pathogens such as Toxoplasma gondii and Salmonella in a variety of cell types in an unbiased and highly reproducible manner, measuring multiple parameters including pathogen growth, pathogen killing and activation of host cell defences. Since HRMAn is based on the KNIME Analytics platform, it can easily be adapted to work with other pathogens and produce more readouts from quantitative imaging data. Here we showcase improvements to HRMAn resulting in the release of HRMAn 2.0 and new applications of HRMAn 2.0 for the analysis of host–pathogen interactions using the established pathogen T. gondii and further extend it for use with the bacterial pathogen Chlamydia trachomatis and the fungal pathogen Cryptococcus neoformans.
{"title":"HRMAn 2.0: Next-generation artificial intelligence–driven analysis for broad host–pathogen interactions","authors":"Daniel Fisch, Robert Evans, Barbara Clough, Sophie K. Byrne, Will M. Channell, Jacob Dockterman, Eva-Maria Frickel","doi":"10.1111/cmi.13349","DOIUrl":"10.1111/cmi.13349","url":null,"abstract":"<p>To study the dynamics of infection processes, it is common to manually enumerate imaging-based infection assays. However, manual counting of events from imaging data is biased, error-prone and a laborious task. We recently presented HRMAn (Host Response to Microbe Analysis), an automated image analysis program using state-of-the-art machine learning and artificial intelligence algorithms to analyse pathogen growth and host defence behaviour. With HRMAn, we can quantify intracellular infection by pathogens such as <i>Toxoplasma gondii</i> and <i>Salmonella</i> in a variety of cell types in an unbiased and highly reproducible manner, measuring multiple parameters including pathogen growth, pathogen killing and activation of host cell defences. Since HRMAn is based on the KNIME Analytics platform, it can easily be adapted to work with other pathogens and produce more readouts from quantitative imaging data. Here we showcase improvements to HRMAn resulting in the release of HRMAn 2.0 and new applications of HRMAn 2.0 for the analysis of host–pathogen interactions using the established pathogen <i>T. gondii</i> and further extend it for use with the bacterial pathogen <i>Chlamydia trachomatis</i> and the fungal pathogen <i>Cryptococcus neoformans</i>.</p>","PeriodicalId":9844,"journal":{"name":"Cellular Microbiology","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/cmi.13349","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10509889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agnes Dahlstrand Rudin, Arsham Khamzeh, Vignesh Venkatakrishnan, Amina Basic, Karin Christenson, Johan Bylund
Fusobacterium nucleatum is a gram-negative and anaerobic oral commensal that is implicated in inflammatory conditions of the tooth-supporting structures, that is, periodontal diseases. One of the main characteristics of these conditions is an accumulation of neutrophil granulocytes in the gingival pockets where bacteria reside. Neutrophils are recruited to tissue-residing microbes by gradients of bacteria derived chemoattractants, and the cellular migration over the pocket epithelium into the gingival pocket is likely governed by chemoattractants released by the amino acid fermenting anaerobes typically colonising this site. However, the chemoattractants released by F. nucleatum and other oral anaerobes have long been unidentified. In the present study, we show that the major chemoattractants released during the growth of F. nucleatum are short chain fatty acids (SCFAs), primarily acetate and butyrate. These SCFAs, that are released at high levels as end-products of the metabolism of F. nucleatum, trigger chemotaxis of human neutrophils, as well as cytosolic Ca2+ signals, via free fatty acid receptor 2 (FFAR2). This finding establishes the SCFA-FFAR2 interaction as an important mechanism in the recruitment of neutrophils to the periodontal pocket, but could also be of importance in the pathogenesis of other medical conditions involving colonisation/infection of F. nucleatum.
{"title":"Short chain fatty acids released by Fusobacterium nucleatum are neutrophil chemoattractants acting via free fatty acid receptor 2 (FFAR2)","authors":"Agnes Dahlstrand Rudin, Arsham Khamzeh, Vignesh Venkatakrishnan, Amina Basic, Karin Christenson, Johan Bylund","doi":"10.1111/cmi.13348","DOIUrl":"10.1111/cmi.13348","url":null,"abstract":"<p><i>Fusobacterium nucleatum</i> is a gram-negative and anaerobic oral commensal that is implicated in inflammatory conditions of the tooth-supporting structures, that is, periodontal diseases. One of the main characteristics of these conditions is an accumulation of neutrophil granulocytes in the gingival pockets where bacteria reside. Neutrophils are recruited to tissue-residing microbes by gradients of bacteria derived chemoattractants, and the cellular migration over the pocket epithelium into the gingival pocket is likely governed by chemoattractants released by the amino acid fermenting anaerobes typically colonising this site. However, the chemoattractants released by <i>F. nucleatum</i> and other oral anaerobes have long been unidentified. In the present study, we show that the major chemoattractants released during the growth of <i>F. nucleatum</i> are short chain fatty acids (SCFAs), primarily acetate and butyrate. These SCFAs, that are released at high levels as end-products of the metabolism of <i>F. nucleatum</i>, trigger chemotaxis of human neutrophils, as well as cytosolic Ca<sup>2+</sup> signals, via free fatty acid receptor 2 (FFAR2). This finding establishes the SCFA-FFAR2 interaction as an important mechanism in the recruitment of neutrophils to the periodontal pocket, but could also be of importance in the pathogenesis of other medical conditions involving colonisation/infection of <i>F. nucleatum</i>.</p>","PeriodicalId":9844,"journal":{"name":"Cellular Microbiology","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/cmi.13348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38920014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}