Whole blood transcriptomics identifies subclasses of pediatric septic shock

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,Agus Michael,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.,Pellegrini Matteo,Balliu Brunilda,Gala Kinisha P.,Nett Sholeen,Singleton Marcy,Pinto Neethi,Chong Grace,Viteri Shirley,Sapru Anil,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,Do Nguyen,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,

Abstract

Abstract 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.

Funder

National Heart, Lung, and Blood Institute

National Institute of General Medical Sciences

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Critical Care and Intensive Care Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3