학술논문
Whole blood transcriptomics identifies subclasses of pediatric septic shock
Document Type
Report
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; Srinivasan, Vijay; Chima, Ranjit S.; Neal, Neal J.; Newth, Christopher; Hassinger, Amanda B.; Bysani, Kris; Faustino, Edward Vincent; Hirshberg, Faustino; Wintergerst, Kupper; Sullivan, Janice E.; Schwarz, Adam; Sorce, Lauren; Marsillio, Lauren; Cvijanovich, Natalie; Flori , Heidi; Pham, Flori; Dahmer, Mary; Federman, Myke; Wong, Kayley; Vangala, Sitaram S.; Balliu, Brunilda; Gala, Kinisha P.; Nett, Sholeen; Singleton, Marcy; Pinto, Neethi; Chong, Grace; Viteri, Shirley; McQuillen, Patrick; Zinter, Matt; Coughlin-Wells, Kerry; Hughes, Kyle; French, Jaclyn; Fitzgerald, Meghan; Sisko, Martha; Howard, Kelli; Jones, Rhonda; Spear, Debbie; Eldridge, Peter; Kwok, Jeni; Qiao, Haiping; Monjure, Tracey; Tala, Joana; Kandil, Sarah A.; Quinn, Tyler; Lilley, Jennifer; Lee, Kristen; Flores, Cathy; Vargas-Shiraishi, Ofelia; Shukla, Avani; Brumfield, Becky; Stone, Cheryl; Jayachandran, Chaandini; Kirkpatrick, Theresa; Deshmukh, Tanaya; Mareboina, Manvita; Ashtari, Neda; Ratiu, Anna; Jarvis, Dean; McNally, Mary; Martini, Karlyn; Rodgers, Chiara; John, Ramany; Mulholland, Teresa; Pellicciotti, Gwen; Goel, Shrey; Alkhouli, Mustafa; McKenzie, Anne; Villarreal-Chico, Denise
Source
Critical Care. December 8, 2023, Vol. 27 Issue 1
Subject
Language
English
ISSN
1364-8535
Abstract
Author(s): Jamie O. Yang[sup.1], Matt S. Zinter[sup.2], Matteo Pellegrini[sup.3], Man Yee Wong[sup.4], Kinisha Gala[sup.4], Daniela Markovic[sup.5], Brian Nadel[sup.6], Kerui Peng[sup.6], Nguyen Do[sup.4], Serghei Mangul[sup.6,7], Vinay M. Nadkarni[sup.8], Aaron Karlsberg[sup.6], Dhrithi [...]
Background Sepsis is a highly heterogeneous syndrome, which 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 March 29, 2012. Keywords: Sepsis, RNA-Seq, Gene expression, Adaptive immunity, Subclassification
Background Sepsis is a highly heterogeneous syndrome, which 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 March 29, 2012. Keywords: Sepsis, RNA-Seq, Gene expression, Adaptive immunity, Subclassification