Cargando…
Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock
BACKGROUND: Sepsis is a highly heterogeneous syndrome, that has hindered the development of effective therapies. This has prompted investigators to develop a precision medicine approach aimed at identifying biologically homogenous subgroups of patients with septic shock and critical illnesses. Trans...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491329/ https://www.ncbi.nlm.nih.gov/pubmed/37693502 http://dx.doi.org/10.21203/rs.3.rs-3267057/v1 |
_version_ | 1785104037764399104 |
---|---|
author | Yang, Jamie O Zinter, Matt S. Pellegrini, Matteo Wong, Man Yee Gala, Kinisha Markovic, Daniela Nadel, Brian Peng, Kerui Do, Nguyen Mangul, Serghei Nadkarni, Vinay M. Karlsberg, Aaron Deshpande, Dhrithi Butte, Manish J. Asaro, Lisa Agus, Michael Sapru, Anil |
author_facet | Yang, Jamie O Zinter, Matt S. Pellegrini, Matteo Wong, Man Yee Gala, Kinisha Markovic, Daniela Nadel, Brian Peng, Kerui Do, Nguyen Mangul, Serghei Nadkarni, Vinay M. Karlsberg, Aaron Deshpande, Dhrithi Butte, Manish J. Asaro, Lisa Agus, Michael Sapru, Anil |
author_sort | Yang, Jamie O |
collection | PubMed |
description | BACKGROUND: Sepsis is a highly heterogeneous syndrome, that has hindered the development of effective therapies. This has prompted investigators to develop a precision medicine approach aimed at identifying biologically homogenous subgroups of patients with septic shock and critical illnesses. Transcriptomic analysis can identify subclasses derived from differences in underlying pathophysiological processes that may provide the basis for new targeted therapies. The goal of this study was to elucidate pathophysiological pathways and identify pediatric septic shock subclasses based on whole blood RNA expression profiles. METHODS: The subjects were critically ill children with cardiopulmonary failure who were a part of a prospective randomized insulin titration trial to treat hyperglycemia. Genome-wide expression profiling was conducted using RNA-sequencing from whole blood samples obtained from 46 children with septic shock and 52 mechanically ventilated noninfected controls without shock. Patients with septic shock were allocated to subclasses based on hierarchical clustering of gene expression profiles, and we then compared clinical characteristics, plasma inflammatory markers, cell compositions using GEDIT, and immune repertoires using Imrep between the two subclasses. RESULTS: Patients with septic shock depicted alterations in innate and adaptive immune pathways. Among patients with septic shock, we identified two subtypes based on gene expression patterns. Compared with Subclass 2, Subclass 1 was characterized by upregulation of innate immunity pathways and downregulation of adaptive immunity pathways. Subclass 1 had significantly worse clinical outcomes despite the two classes having similar illness severity on initial clinical presentation. Subclass 1 had elevated levels of plasma inflammatory cytokines and endothelial injury biomarkers and demonstrated decreased percentages of CD4 T cells and B cells, and less diverse T-Cell receptor repertoires. CONCLUSIONS: Two subclasses of pediatric septic shock patients were discovered through genome-wide expression profiling based on whole blood RNA sequencing with major biological and clinical differences. TRIAL REGISTRATION: This is a secondary analysis of data generated as part of the observational CAF PINT ancillary of the HALF PINT study (NCT01565941). Registered 29 March 2012. |
format | Online Article Text |
id | pubmed-10491329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-104913292023-09-09 Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock Yang, Jamie O Zinter, Matt S. Pellegrini, Matteo Wong, Man Yee Gala, Kinisha Markovic, Daniela Nadel, Brian Peng, Kerui Do, Nguyen Mangul, Serghei Nadkarni, Vinay M. Karlsberg, Aaron Deshpande, Dhrithi Butte, Manish J. Asaro, Lisa Agus, Michael Sapru, Anil Res Sq Article BACKGROUND: Sepsis is a highly heterogeneous syndrome, that has hindered the development of effective therapies. This has prompted investigators to develop a precision medicine approach aimed at identifying biologically homogenous subgroups of patients with septic shock and critical illnesses. Transcriptomic analysis can identify subclasses derived from differences in underlying pathophysiological processes that may provide the basis for new targeted therapies. The goal of this study was to elucidate pathophysiological pathways and identify pediatric septic shock subclasses based on whole blood RNA expression profiles. METHODS: The subjects were critically ill children with cardiopulmonary failure who were a part of a prospective randomized insulin titration trial to treat hyperglycemia. Genome-wide expression profiling was conducted using RNA-sequencing from whole blood samples obtained from 46 children with septic shock and 52 mechanically ventilated noninfected controls without shock. Patients with septic shock were allocated to subclasses based on hierarchical clustering of gene expression profiles, and we then compared clinical characteristics, plasma inflammatory markers, cell compositions using GEDIT, and immune repertoires using Imrep between the two subclasses. RESULTS: Patients with septic shock depicted alterations in innate and adaptive immune pathways. Among patients with septic shock, we identified two subtypes based on gene expression patterns. Compared with Subclass 2, Subclass 1 was characterized by upregulation of innate immunity pathways and downregulation of adaptive immunity pathways. Subclass 1 had significantly worse clinical outcomes despite the two classes having similar illness severity on initial clinical presentation. Subclass 1 had elevated levels of plasma inflammatory cytokines and endothelial injury biomarkers and demonstrated decreased percentages of CD4 T cells and B cells, and less diverse T-Cell receptor repertoires. CONCLUSIONS: Two subclasses of pediatric septic shock patients were discovered through genome-wide expression profiling based on whole blood RNA sequencing with major biological and clinical differences. TRIAL REGISTRATION: This is a secondary analysis of data generated as part of the observational CAF PINT ancillary of the HALF PINT study (NCT01565941). Registered 29 March 2012. American Journal Experts 2023-08-28 /pmc/articles/PMC10491329/ /pubmed/37693502 http://dx.doi.org/10.21203/rs.3.rs-3267057/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Yang, Jamie O Zinter, Matt S. Pellegrini, Matteo Wong, Man Yee Gala, Kinisha Markovic, Daniela Nadel, Brian Peng, Kerui Do, Nguyen Mangul, Serghei Nadkarni, Vinay M. Karlsberg, Aaron Deshpande, Dhrithi Butte, Manish J. Asaro, Lisa Agus, Michael Sapru, Anil Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock |
title | Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock |
title_full | Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock |
title_fullStr | Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock |
title_full_unstemmed | Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock |
title_short | Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock |
title_sort | whole blood transcriptomics identifies subclasses of pediatric septic shock |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491329/ https://www.ncbi.nlm.nih.gov/pubmed/37693502 http://dx.doi.org/10.21203/rs.3.rs-3267057/v1 |
work_keys_str_mv | AT yangjamieo wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT zintermatts wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT pellegrinimatteo wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT wongmanyee wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT galakinisha wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT markovicdaniela wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT nadelbrian wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT pengkerui wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT donguyen wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT mangulserghei wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT nadkarnivinaym wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT karlsbergaaron wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT deshpandedhrithi wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT buttemanishj wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT asarolisa wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT agusmichael wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock AT sapruanil wholebloodtranscriptomicsidentifiessubclassesofpediatricsepticshock |