A Three-Tiered Study of Differences in Murine Intrahost Immune Response to Multiple Pneumococcal Strains
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{"title"=>"A three-tiered study of differences in murine intrahost immune response to multiple pneumococcal strains", "type"=>"journal", "authors"=>[{"first_name"=>"Ericka", "last_name"=>"Mochan-Keef", "scopus_author_id"=>"56593010700"}, {"first_name"=>"David", "last_name"=>"Swigon", "scopus_author_id"=>"6602237727"}, {"first_name"=>"G. Bard", "last_name"=>"Ermentrout", "scopus_author_id"=>"7003797729"}, {"first_name"=>"Gilles", "last_name"=>"Clermont", "scopus_author_id"=>"7004041664"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84941991964", "sgr"=>"84941991964", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0134012", "pmid"=>"26244863", "pui"=>"606057402"}, "id"=>"eee3dc3d-7259-31f2-a057-66b4ac364b73", "abstract"=>"We apply a previously developed 4-variable ordinary differential equation model of in-host immune response to pneumococcal pneumonia to study the variability of the immune response of MF1 mice and to explore bacteria-driven differences in disease progression and outcome. In particular, we study the immune response to D39 strain of bacteria missing portions of the pneumolysin protein controlling either the hemolytic activity or complement-activating activity, the response to D39 bacteria deficient in either neuraminidase A or B, and the differences in the response to D39 (serotype 2), 0100993 (serotype 3), and TIGR4 (serotype 4) bacteria. The model accurately reproduces infection kinetics in all cases and provides information about which mechanisms in the immune response have the greatest effect in each case. Results suggest that differences in the ability of bacteria to defeat immune response are primarily due to the ability of the bacteria to elude nonspecific clearance in the lung tissue as well as the ability to create damage to the lung epithelium.", "link"=>"http://www.mendeley.com/research/threetiered-study-differences-murine-intrahost-immune-response-multiple-pneumococcal-strains", "reader_count"=>9, "reader_count_by_academic_status"=>{"Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>1, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>1, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Mathematics"=>1, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>1, "Computer Science"=>2, "Immunology and Microbiology"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>2}, "Mathematics"=>{"Mathematics"=>1}}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2201674"], "description"=>"<p>Ensemble fits of each strain for lung pathogen (<i>P</i><sub><i>L</i></sub>), blood pathogen (<i>P</i><sub><i>B</i></sub>), epithelial damage (<i>D</i>), and activated phagocytic cells (<i>N</i>). The black line represents the median trajectory, the inner dark gray area represents the 25<sup>th</sup> to 75<sup>th</sup> quantiles of trajectories, and the outer light gray envelope represents 90% of the trajectories (5<sup>th</sup> to 95<sup>th</sup> quantiles). Data points with standard deviations are represented by the black triangles with error bars. Data were taken at 0, 3, 6, 12, 24, and 48 hours post-infection with ten mice in each group. Trajectories are simulated over two days, with infection occurring on day 0. The top row shows ensembles for H+/C- bacteria, the middle row shows ensembles for H2-/C+ bacteria, and the bottom row shows ensembles for the wild-type (WT) bacteria.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503009, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.g001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ensemble_trajectories_of_pneumolysin_activity_study_/1503009", "title"=>"Ensemble trajectories of pneumolysin activity study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201676"], "description"=>"<p>(A) One-dimensional parameter distributions of bacteria-dependent parameters: <i>h</i>, <i>q</i>, <i>ν</i>, <i>ξ</i><sub><i>nl</i></sub>, <i>ξ</i><sub><i>nb</i></sub>. The top row (green) shows ensembles for H+/C- bacteria. The middle row (red) shows ensembles for H2-/C+ bacteria. The bottom row (blue) shows ensembles for wild-type (WT) bacteria. (B) Principal values computed from singular-value decomposition of ensembles for each bacterial strain. (C-E) Two-dimensional parameter correlations for H+/C- (C) H2-/C+ (D) and wild-type (E) bacteria.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503011, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.g002", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Analysis_of_bacteria_dependent_parameters_in_the_pneumolysin_activity_study_/1503011", "title"=>"Analysis of bacteria-dependent parameters in the pneumolysin activity study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201679"], "description"=>"<p>Ensemble fits of each strain for lung pathogen (<i>P</i><sub><i>L</i></sub>), blood pathogen (<i>P</i><sub><i>B</i></sub>), epithelial damage (<i>D</i>), and activated phagocytic cells (<i>N</i>). The black line represents the median trajectory, the inner dark gray area represents the 25<sup>th</sup> to 75<sup>th</sup> quantiles of trajectories, and the outer light gray envelope represents 90% of the trajectories (5<sup>th</sup> to 95<sup>th</sup> quantiles). Data points with standard deviations are represented by the black triangles with error bars. Data were taken at 0, 2, 4, 6, 12, 24, and 48 hours post-infection with five mice in each group. Trajectories are simulated over two days, with infection occurring on day 0 in the lungs. The top row shows ensembles for NanA<sup>−</sup> bacteria, the middle row shows ensembles for NanB<sup>−</sup> bacteria, and the bottom row shows ensembles for the wild-type (WT) bacteria.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503014, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.g003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ensemble_trajectories_of_neuraminidase_study_with_intranasal_infection_data_/1503014", "title"=>"Ensemble trajectories of neuraminidase study with intranasal infection data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201685"], "description"=>"<p>Ensemble fits of each strain for lung pathogen (<i>P</i><sub><i>L</i></sub>), blood pathogen (<i>P</i><sub><i>b</i></sub>), epithelial damage (<i>D</i>), and activated phagocytic cells (<i>N</i>). The black line represents the median trajectory, the inner dark gray area represents the 25<sup>th</sup> to 75<sup>th</sup> quantiles of trajectories, and the outer light gray envelope represents 90% of the trajectories (5<sup>th</sup> to 95<sup>th</sup> quantiles). Data points with standard deviations are represented by the black triangles with error bars. Data were taken at 0, 3, 6, 24, and 48 hours post-infection with five mice in each group. Trajectories are simulated over two days, with infection occurring on day 0 in the blood. The top row shows ensembles for NanA<sup>−</sup> bacteria, the middle row shows ensembles for NanB<sup>−</sup> bacteria, and the bottom row shows ensembles for the wild-type (WT) bacteria.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503020, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.g004", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ensemble_trajectories_of_neuraminidase_study_with_intravenous_infection_data_/1503020", "title"=>"Ensemble trajectories of neuraminidase study with intravenous infection data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201689"], "description"=>"<p>(A) One-dimensional parameter distributions of bacteria-dependent parameters: <i>q</i>, <i>a</i>, <i>ν</i>, <i>ξ</i><sub><i>nl</i></sub>, <i>ξ</i><sub><i>nb</i></sub>. The top row (green) shows ensembles for NanA<sup>−</sup> bacteria. The middle row (red) shows ensembles for NanB<sup>−</sup> bacteria. The bottom row (blue) shows ensembles for wild-type (WT) bacteria. (B) Principal values computed from singular-value decomposition of ensembles for each bacterial strain. (C-E) Two-dimensional parameter correlations for NanA<sup>−</sup> (C) NanB<sup>−</sup> (D) and wild-type (E) bacteria.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503024, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.g005", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Analysis_of_bacteria_dependent_parameters_in_the_neuraminidase_study_/1503024", "title"=>"Analysis of bacteria-dependent parameters in the neuraminidase study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201690"], "description"=>"<p>Ensemble fits of each strain for lung pathogen (<i>P</i><sub><i>L</i></sub>), blood pathogen (<i>P</i><sub><i>B</i></sub>), epithelial damage (<i>D</i>), and activated phagocytic cells (<i>N</i>). The black line represents the median trajectory, the inner dark gray area represents the 25<sup>th</sup> to 75<sup>th</sup> quantiles of trajectories, and the outer light gray envelope represents 90% of the trajectories (5<sup>th</sup> to 95<sup>th</sup> quantiles). Data points with standard deviations are represented by the black triangles with error bars. Data were taken at 12, 24, and 48 hours post-infection with three mice in each group. Trajectories are simulated over two days, with infection occurring on day 0 in the blood. The top row shows ensembles for 0100993 bacteria, the middle row shows ensembles for TIGR4 bacteria, and the bottom row shows ensembles for the D39 bacteria.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503025, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.g006", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ensemble_trajectories_of_serotype_study_/1503025", "title"=>"Ensemble trajectories of serotype study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201693"], "description"=>"<p>(A) One-dimensional parameter distributions of bacteria-dependent parameters: <i>h</i>, <i>q</i>, <i>a</i>, <i>ν</i>, <i>ξ</i><sub><i>nl</i></sub>, <i>ξ</i><sub><i>nb</i></sub>. The top row (green) shows ensembles for 0100993 bacteria. The middle row (red) shows ensembles for TIGR4 bacteria. The bottom row (blue) shows ensembles for D39) bacteria. (B) Principal values computed from singular-value decomposition of ensembles for each bacterial strain. (C-E) Composition of the last principal component for 0100993 (C) TIGR4 (D) and wild-type (E) bacteria. Warm colors represent a negative contribution to sensitivity, and cool colors represent a positive contribution.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503027, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.g007", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Analysis_of_bacteria_dependent_parameters_in_the_sesrotype_study_/1503027", "title"=>"Analysis of bacteria-dependent parameters in the sesrotype study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201694"], "description"=>"<p>Summary of bacteria-strain-dependent parameters in each of the three studies presented.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503029, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.t001", "stats"=>{"downloads"=>5, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_bacteria_strain_dependent_parameters_in_each_of_the_three_studies_presented_/1503029", "title"=>"Summary of bacteria-strain-dependent parameters in each of the three studies presented.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-08-05 03:16:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/2201696"], "description"=>"<p>Full list of parameters of the model, their biological interpretations, and the ranges over which they are varied in the ensemble.</p>", "links"=>[], "tags"=>["ability", "disease progression", "serotype", "infection kinetics", "D 39", "MF 1 mice", "Murine Intrahost Immune Response", "pneumolysin protein", "equation model", "lung epithelium", "response", "D 39 bacteria", "Multiple Pneumococcal Strains", "lung tissue", "pneumococcal pneumonia", "D 39 strain", "TIGR 4"], "article_id"=>1503030, "categories"=>["Biological Sciences"], "users"=>["Ericka Mochan-Keef", "David Swigon", "G. Bard Ermentrout", "Gilles Clermont"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134012.t002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Full_list_of_parameters_of_the_model_their_biological_interpretations_and_the_ranges_over_which_they_are_varied_in_the_ensemble_/1503030", "title"=>"Full list of parameters of the model, their biological interpretations, and the ranges over which they are varied in the ensemble.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-08-05 03:16:24"}

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{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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