Whole Blood Transcriptomics Identifies Subclasses of Pediatric Septic Shock.

Adaptive immunity Gene Expression RNA-Seq Sepsis Subclassification

Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
28 Aug 2023
Historique:
pubmed: 11 9 2023
medline: 11 9 2023
entrez: 11 9 2023
Statut: epublish

Résumé

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. 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. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 37693502
doi: 10.21203/rs.3.rs-3267057/v1
pmc: PMC10491329
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT01565941']

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NHLBI NIH HHS
ID : K23 HL146936
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM123126
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL114484
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL107681
Pays : United States

Déclaration de conflit d'intérêts

Competing Interests The authors declare that they have no competing interests.

Auteurs

Jamie O Yang (JO)

University of California, Los Angeles.

Matt S Zinter (MS)

University of California, San Francisco.

Matteo Pellegrini (M)

University of California, Los Angeles.

Man Yee Wong (MY)

University of California, Los Angeles.

Kinisha Gala (K)

University of California, Los Angeles.

Daniela Markovic (D)

University of California, Los Angeles.

Brian Nadel (B)

University of Southern California.

Kerui Peng (K)

University of Southern California.

Nguyen Do (N)

University of California, Los Angeles.

Serghei Mangul (S)

University of Southern California.

Vinay M Nadkarni (VM)

University of Pennsylvania.

Aaron Karlsberg (A)

University of Southern California.

Dhrithi Deshpande (D)

University of Southern California.

Manish J Butte (MJ)

University of California, Los Angeles.

Lisa Asaro (L)

Boston Children's Hospital.

Michael Agus (M)

Boston Children's Hospital.

Anil Sapru (A)

University of California, Los Angeles.

Classifications MeSH